The present disclosure pertains to vehicle electronics and particularly to on board diagnostics systems.
The disclosure reveals a vehicle security system having controller area network buses, electronic control units connected to the controller area network buses, a vehicle security module connected to the controller area network buses, and an on board diagnostics connector connected to the vehicle security module. The vehicle security module may according to a policy discriminate between authorized and unauthorized signals that are input to the on board diagnostics connector. Authorized signals may be forwarded by the vehicle security module to the controller area network busses. Authorized signals may affect operation of one or more of the components of the vehicle via the electronic control units. Authorized signals may change the policy used by the vehicle security module. Unauthorized signals may be refused entry to the controller area network busses. The on board diagnostics connector may receive the signals from diagnostic instrumentation, control instrumentation, tracking instrumentation, a dongle, and so forth.
The present system and approach may incorporate one or more processors, computers, controllers, user interfaces, wireless and/or wire connections, and/or the like, in an implementation described and/or shown herein.
This description may provide one or more illustrative and specific examples or ways of implementing the present system and approach. There may be numerous other examples or ways of implementing the system and approach.
Reference may be made to symbols in the drawing. Symbols may have virtually any shape (e.g., a block) and may designate hardware, objects, activities, steps, procedures, and other items.
The idea pertains to vehicle security modules, and how to keep unauthorized intruders out of them while letting in legitimate individuals (e.g., authorized mechanics). At a high level, the present system and approach may propose an electronic key system that gives a vehicle manufacturer an ability to dictate who can get into a vehicle security module (VSM), and once in, which portions or bits of it they can change. The vehicle manufacture may be regarded as an original equipment manufacturer (OEM). The terms may be used herein interchangeably.
The system and approach use unique authorization “tokens” that dictate exactly what level of access is granted to the VSM and/or what changes can be made to the VSM policy, and may have, for example, a public/private key pairing that is used to ensure only an authorized entity is using the token. There may be several ways to ensure that the authorization token is securely passed to and accepted by the VSM.
On-board diagnostics (OBD) is an automotive term referring to a vehicle's self-diagnostic and reporting capability. OBD systems may appear in many cars and light trucks on the road today. Present OBD's may provide almost complete engine control and also monitor parts of the chassis, body and accessory devices, as well as a diagnostic control network of the car. Modern OBD implementations may use a standardized digital communications port or connector to provide real-time data in addition to a standardized series of diagnostic trouble codes (DTCs), which may allow one to rapidly identify and remedy malfunctions within the vehicle.
The present system may use an authorization token in its device. The system does not necessarily need an internet connection. The internet connection may be appropriate for a vehicle in a repair shop but it may not necessarily be appropriate for a vehicle operating on the open road with an insurance or tuning dongle.
The system does not necessarily only allow the diagnostic tool to select from pre-existing roles which have been programmed into an electronic control unit (ECU) or vehicle security module. The system may allow a flexible modification of a base security policy such that new features or access profiles not anticipated at the time of ECU manufacture can be supported by the present approach. In addition, if a security flaw is discovered in the base security policy, the present approach may be used to modify the policy to reduce the risk of compromise.
The present approach does not necessarily require a set of role-based policies in each ECU. The present approach may enforce a policy at the VSM. Thus, the present approach may prevent a device at the OBD II port from injecting traffic on the controller area network CAN bus. Thus, non-diagnostic commands, like turning the steering wheel, unlocking doors, and so forth, may not necessarily be sent to a vehicle via the OBD II within the present scheme. The present system may filter messages which may be destined to be injected into a CAN bus.
Vehicle manufacturers may need the ability to manage issues such as liability by limiting how a device or software application can modify the operation of a vehicle while at the same time meeting laws and owner expectations related to the right to repair and modify of the vehicle. The present system and approach may allow the vehicle manufacturer to manage vehicle safety/security policy and associated liability by controlling when and which portions of the policy are enforced. Thus, the vehicle manufacturer may be allowed to selectively modify the policy in the vehicle.
There may be many variations for securely distributing a policy change authorization token to the vehicle security module. One approach may incorporate a dongle pair. An example is given in the following. Key creation and loading of authorization token into dongle may occur. Public key material and a corresponding public key infrastructure may be created as shown in view of a diagram 60 in
An authorization token use may be noted. When dongle 67 is plugged into a vehicle, there may be a protocol exchange along a line 71 between corners 68 and 72, which allows the vehicle security module 63 to confirm the identity of dongle 67, allows the vehicle security module 63 to confirm that the authorization token is bound to dongle 67, and allows the vehicle security module 63 to confirm that the authorization token was authorized by vehicle OEM 61.
There may be multiple ways that the above-noted three confirmations may be achieved. One approach may be primarily described in the following paragraphs.
1) A dongle and a vehicle may perform a Diffie Hellman key exchange using the dongle certificate to establish a shared secret between the dongle and a vehicle security module. This may be a cryptographic handshake protocol. Other variations of the key exchange, besides the Diffie Hellman exchange noted herein, may be used.
2) The dongle may send the vehicle security module an authorization token and an integrity check value. Both of these items may be cryptographically protected using a key derived from the Diffie Hellman exchange.
3) The vehicle security module may use the key derived from, for instance, the Diffie Hellman exchange to validate an integrity check value. If the check is valid, then the vehicle security module may know that the dongle has the same key derived from the Diffie Hellman exchange.
4) The vehicle security module may then “walk the chain” of public key certificates from the dongle to a common root of trust (i.e., an OEM private key in this example). Assuming that the checks produce an expected result, the vehicle security module may know that this dongle is the dongle it claims to be.
5) The vehicle security module may the use an OEM public key to validate a digital signature on an authorization token. Assuming the digital signature to be valid, the vehicle security module may know that the authorization token is authorized by the vehicle OEM.
6) At this point, the vehicle security module may know that the dongle ID from the dongle certificate, it may know the dongle is authentic because of a successful Diffie Hellman key exchange and it may know that the policy changes contained in the authorization token are valid and apply to the specified dongle ID. Thus, the vehicle security module may make changes in its policy.
Variations in the above-described process, which produce a similar, result may incorporate:
1) A cryptographic algorithm—the public key algorithm may be an RSA (a Rivest Shamir Adelman public key cryptography algorithm) or an elliptic curve.
2) A cryptographic key length—various public key pairs (OEM, dongle vendor, dongle, and so forth) may use different key lengths.
3) A certificate structure—the certificates may be X.509 v3 certificates or a proprietary format.
4) A PKI—the PKI (private key infrastructure) may be a simple structure in which the OEM serves as its own root of trust (also known as a root certificate authority). The system may use a larger and more complete PKI in which the root of trust is above the OEM. This type of structure may allow one dongle to be recognized by vehicle security modules associated with multiple OEMs.
5) A key establishment protocol—many different protocols may exist to establish secure communications between the dongle and the VSM.
6) An authorization token distribution—the authorization token may be distributed via the dongle such that the dongle is the transport mechanism. The authorization token may be embedded in the VSM firmware and activated when an authorized dongle authenticates itself to the VSM. The authorization token may be fetched in real time by either the VSM or the dongle.
7) An authorization token structure—the structure of the policy override may be virtually a complete replacement of the default VSM policy. Alternatively, the structure may simply identify changes to a default policy. A set of changes may be bundled as a single package containing one or more changes. Alternatively, the changes may be packaged as one change per token such that a dongle could have multiple tokens associated with it.
A feature of the present system and approach may be that the security and/or safety policy in the vehicle security module could be changed in the field using a cryptographically protected authorization token which is directly or indirectly associated with a dongle.
The vehicle security module may be shipped with a default security policy. The policy may specify the types of messages allowed to flow to and/or from the vehicle to a device plugged into an on board diagnostics II (OBD) port. An authorization token may specify changes to be applied to the policy when the device associated with the authorization token is plugged in.
There may be many ways of specifying a policy. One example of a policy, along with an authorization token changing the policy, may be provided in the following:
1) A default vehicle security module policy—block messages with a CAN bus ID=1, 2, 3, 4, 5;
2) An authorization token—allow messages with a CAN bus ID=3; and
3) A resulting policy—block messages with the CAN bus ID=1, 2, 4, 5.
Another example may be given where the incoming message ID should match allowed rules in order to pass. A set mask may be used to determine which bits of the message ID are compared to the filter. A “0” in the mask may mean that the corresponding bits of the message ID are not tested. The filter value may be matched against the incoming message ID and if the non-masked bits match, the message is allowed to pass.
Default vehicle security module policy may be schematically shown in table 81 in
There may be many types of policies. Many vehicle manufacturers may use proprietary messages on the CAN bus so the policy is likely to be different for each vehicle manufacturer. Examples may incorporate safety and security.
For safety, one may assume that a message ID 5 with content 0000 0000 0000 1111 tells the brake system to vent pressure from the wheel cylinders. This may be done to bleed air out of the hydraulic brake system. A safety policy may block message ID=5, content 0000 0000 0000 1111 from being injected via the OBD port. This may prevent a compromised dongle from disabling the brakes on a vehicle. A tool certified by the OEM to be used by a service technician to bleed the brakes may have an authorization token which turns off this policy, thus allowing the service technician to bleed the brakes. If another device (e.g., a compromised insurance dongle) is plugged into the OBD port after the technician has serviced the vehicle, the safety policy may prevent the compromised dongle from issuing the bleed brakes command to the vehicle. The authorization token should be only in effect while the device linked to the authorization token is plugged into the OBD port.
For security, a keyless entry system on a vehicle may be able to send a CAN bus message to unlock the doors. However, a compromised dongle may also send an unlock command, allowing a thief into the vehicle. Therefore, a security policy in the vehicle security module may be to block “unlock door” messages sent into the vehicle via the OBD port.
The CAN bus does not necessarily perform source authentication of messages placed on the CAN bus. Thus, an attacker who is able to inject messages into the OBD port could send messages which appear to come from one of the electronic control units (ECUs) on the bus. Referring to the
Some types of policy changes that could be requested for a dongle or other OBD device may incorporate allowing a dongle to limit the speed of a vehicle, which might be used in fleet management applications, allowing the device to load new firmware on an ECU, allowing the dongle to read GPS coordinates of a vehicle so that the dongle can provide vehicle tracking, allowing a dongle to remotely start the engine of a vehicle, and allowing the device to send a command to change the emissions control setting on a vehicle.
An authorization token may take many forms depending upon the structure used for specifying policy within the vehicle security module. Data fields that may be typical in the authorization token could incorporate the following items.
1) Applicable vehicles—a device/dongle may be allowed to change the policy on vehicles produced, for example, since 2015. The device/dongle should only be licensed with the OEM to be used on certain models and therefore the authorization token may identify a set of licensed vehicles.
2) A policy/rule identifier—depending upon how the OEM manages policy/rules in the vehicle security module, the token may specify a number identifying the rule which is to be modified or turned off (e.g., turn off rule 3).
3) An allowable message ID list—many firewalls and vehicle security modules may operate using a “deny unless explicitly allowed” model. Thus, if the policy does not explicitly allow a message ID, then that message ID may be blocked. The allowable message ID field may specify additional IDs which are allowed to pass.
4) Specific message ID/value pairs—frequently there may be multiple parameters within a message. For example, one byte may control the throttle position while another byte in the same message may control the amount of fuel delivered. The default policy may allow a message “ID x” but only allow a specific set of parameters. For instance, it may only allow a byte specifying the amount of fuel to be between, for example, 10 and 100. However, the policy may allow an authorized device to change these parameter limits.
The present system and approach may allow the vehicle manufacturer to manage vehicle safety/security policy by controlling when and which portions of the policy are enforced. The system may consist of the following entities. The vehicle manufacturer may set the default safety and security policies for the vehicle. The vehicle manufacturer may also be able to selectively authorize “policy change requestors” (PRCs) to override a policy under specific circumstances. A vehicle may be any motorized cyber-physical system used for transportation. The term “vehicle” may incorporate automobiles, military vehicles, autonomous (self-driving) vehicles, water craft, and aircraft having manned and unmanned (e.g., drones) capabilities. A policy change requestor may be an entity requesting a change to the vehicle safety and/or security policy. The requestor could be the owner of a vehicle or a service technician requesting a change to one vehicle. For instance, the owner may be a “tuner” who wants to modify how the vehicle performs. The tuner may be a manufacturer of diagnostic equipment, a dongle provider, or a developer of a software application. An authorization token may directly or indirectly identify the changes which the policy change requestor is authorized to make to a specific vehicle or a class of vehicles. For example, a dongle provider may receive a token to make changes to particular model pick-up trucks model produced during certain years. A structure of the authorization token may depend on how the vehicle manufacturer has implemented the authorization and the structure of associated policies.
The present system and approach may allow a vehicle manufacturer to grant a policy change requestor an ability to make selective changes to the safety/security policy of one or more vehicles.
A diagram of
The policy select function 35 on a vehicle may be implemented via a physical switch or another mechanism which is resistant to hacking or jamming. In one implementation, the vehicle may contain a physical vehicle security module (VSM) which enforces the security policy. The VSM may contain a physical switch which the driver or technician can place in either drive mode 38 or diagnostics mode 39. When in diagnostics mode 39, the VSM may emit a signal (e.g., beeping or flashing light) to warn a vehicle operator that the safety and/or security policy normally enforced when the vehicle is in drive mode has been bypassed.
The authorization token may be implemented in multiple ways. One implementation may make use of public key cryptography to create an authorization token which could be bound to a device or application (e.g., an insurance dongle) and which may be cryptographically verified by the vehicle. One such implementation may be illustrated in a diagram of
A developer of the policy change requestor 46 (could be hardware or software) and vehicle manufacturer 41 may agree on a set of authorized policy changes to be granted to policy change requestor 46 for specified vehicles as indicated by an arrow 47. An agreement may involve testing, legal agreements or other activities outside the scope of the present system. Vehicle manufacturer 41 may then use its private key to cryptographically sign an authorization token 51 bound along arrow 47 to policy change requestor 46. When policy change requestor 46 wants to modify the default policy on the vehicle, policy change requestor 46 and vehicle 43 may perform a cryptographic handshake to pass the authorization token 48 to vehicle 43 along arrow 49. Vehicle 43 may use public key 42 provided by vehicle manufacturer 41 to validate the authorization token. Once validated, the changes contained in the authorization token may be applied to the default policy to produce the resulting policy 52 to be enforced by vehicle 43.
There may be multiple ways to securely pass an authorization token to the vehicle. Some of the ways may be noted herein. One way is that the vehicle manufacturer may act as a certificate authority and sign a certificate (e.g., X.509 v3) for a developer of the policy change requester. This approach may allow the policy change requester to use a local private key to generate and sign authorization tokens. The vehicle may then use the vehicle manufacturer public key to “walk the certificate chain” to validate the authorization token.
Another way is that the vehicle manufacturer may create authorization tokens which combine an identity of the policy change requestor with the authorization token as an approach of binding the token to the requestor.
Still another way is that the vehicle manufacturer may distribute a new policy directly to the vehicle with a mechanism to identify policy change requestors which are authorized to invoke the policy.
Yet another way is that the automotive industry may adopt a full public key infrastructure (PKI) which would allow vehicles from many manufacturers to validate policy change requestor entities from multiple developers.
There may be additional ways in which a policy associated with a specific policy change requestor could be loaded into a vehicle security module. A feature of the present system is that the vehicle manufacturer may have a way to alter the vehicle safety/security policy based upon the knowledge of a policy change requestor being associated with the vehicle.
A vehicle manufacturer may require a manufacturer of a policy change requestor (e.g., a dongle or diagnostic test tool) to use a key storage mechanism to protect the integrity and/or confidentiality of the cryptographic material used within the system.
A policy change requester (e.g., a dongle device plugged into a vehicle's OBD port) should perform a cryptographic handshake with the vehicle to ensure that it is a genuine (authorized) requester and not an imposter. An example of an imposter may be a look alike dongle from an unauthorized source. This look alike device may not necessarily meet the safety or security requirements set by the vehicle manufacturer.
This would allow OEMs to control what devices get added to their vehicles in order to preserve safety and security. This is a feature of the present system that would differentiate the present system from the competition.
As to some details, board 85 may contain a dual core Cortex-A9 800 MHZ processing system (PS) 86 and a programmable logic card (PL) 87. PS 86 may incorporate a double data rate (DDR) controller 91 connected to a 1 GB DDR RAM 92, a quad serial peripheral interface (QSPI) 93 connected to a 128 MB QSPI flash 94, a processing system (PS) controller area network (CAN) controller (#1) 95 connected to a CAN #1 physical (PHY) 96. A 10/100 Ethernet controller 97 connected to a 10/100 Ethernet PHY 98, a PS CAN controller, (#2) 99 connected to a CAN #2 PHY 100, and a secured digital (SD) 101 connected to a micro SD card 102.
PL card 87 may incorporate a PL CAN controller (#1) 103 connected to a CAN (#3) 104, a PL CAN controller (#4) 105 connected to a CAN #6 PHY 106, a PL CAN controller (#2) 107 connected to a CAN #4 PHY 108, a PL CAN controller (#5) connected to a CAN #7 PHY 110, a PL CAN controller (#3) connected to a CAN #5 PHY, and PL CAN controller (#6) 113 connected to a CAN #8 PHY 114.
Various modules may be connected to the busses. Some of the modules connected to HS1155 may be a PCM (powertrain control module) 161, BCM (battery control module-accessories) 162, PAM (parking aid module) 163 and HCM (headlamp control module) 164.
Some of the modules connected to MS1 may be a TRM (transmission range module) 165, RTM 166, SOD-L (side object detection-left module) 167, SOD-R (side object detection-right module) 168, DDM (driver's door module) 169, DSM (driver's seat module) 170, GPSM (global positioning system module) 171, FCIM (front controls interface module) 172, PDM 173, RGTM 174, HSWM (heated steering wheel module) 175 and SCME 176.
Some of the modules connected to HS3 may be TCU (transmission control unit) 177, ACM (audio control module) 178, ANC (auxiliary heater control) 179, DSP (digital signal processing module) 180, and IPC (instruments panel control) 181.
Some of the modules connected to HS2 may be RCM (restraint control module) 182, ABS (anti-lock brake system) 183, VDM (vehicle dynamics module) 184, HUD (heads up display) 185, PSCM (power steering control module) 186, GSM 187, IPM-A (instrument panel module-accessories) 188, TRCM 189, and SCCM (steering column control module) 190.
The ECUs of architecture 145 may be other than indicated. Some of the acronyms may designate other items than those mentioned, depending on, for instance, the model and year of the vehicle.
Connections of portion 203 in
To recap, a vehicle security system may incorporate one or more controller area network (CAN) buses, one or more electronic control units (ECUs) connected to the one or more CAN buses, a vehicle security module (VSM) connected to the one or more CAN buses, and an on board diagnostics (OBD) connector connected to the vehicle security module. The vehicle security module may discriminate between authorized and unauthorized signals that are input to the on board diagnostics connector. Authorized signals may be forwarded by the vehicle security module to the one or more CAN busses. The unauthorized signals may be refused entry to the one or more CAN busses.
The on board diagnostics connector may be connected to one or more devices selected from a group comprising diagnostic instrumentation, control instrumentation, and tracking instrumentation.
An OEM of the vehicle security module may create a public and private key pair. The vehicle security module may create a public and private key pair. The OEM may embed the OEM public key into the vehicle security module. A policy change requestor (PRC) may create a public and private key pair. The OEM may uses its private key to digitally sign a certificate containing an identity of the policy change requestor and the public key of the policy change requestor. The OEM may create a policy change authorization token to include changes to a security policy and an identification (ID) of one or more dongles associated with the authorization token. The authorization may be signed with the private key of the OEM. A public key and a private key may be created for the one or more dongles having the ID. The policy change requestor may use its private key to sign a certificate for the one or more dongles having the ID. The policy change requestor may load a copy of the certificate into the one or more dongles.
When a dongle of the one or more dongles is connected to the on board diagnostics connector, the vehicle security module may achieve a confirmation of the ID of the dongle, a confirmation that the authorization token is bound to the dongle, and a confirmation that the authorization token was authorized by the OEM.
A security or safety policy in the vehicle security module may be changed in a field using a cryptographically protected authorization token that is directly or indirectly associated with the dongle.
The vehicle security module may have a security policy. The security policy may specify the messages allowed to flow to or from the vehicle security module to a device connected to the on board diagnostics connector.
The authorization token may specify one or more changes to be applied to the security policy when the one or more dongles associated with the authorization token are connected to the on board diagnostics connector.
A security policy may block or allow one or more messages based upon virtually any characteristic of a message. A change of security policy may change any characteristic of a message used to block or allow the message.
An approach for authorizing a policy change in a vehicle security module, may incorporate plugging a device selected from a group comprising diagnostic instrumentation, control instrumentation, tracking instrumentation, and dongles, into an on board diagnostics connector connected to a vehicle security module that is in turn connected to one or more controller area network (CAN) buses. The one or more CAN buses may be connected to one or more electronic control units (ECUs). The vehicle security module may block unauthorized signals and allow authorized signals to the CAN buses. Allowing authorized signals to the CAN buses may result in a policy change in the vehicle security module.
The vehicle security module may have a policy for determining which signals are authorized and which signals are unauthorized. The one or more ECUs may be connected to components of a vehicle. Authorized signals may affect operation of one or more of the components of the vehicle. Authorized signals may change the policy of the vehicle security module. A manufacturer of the vehicle may be permitted to manage the policy of the vehicle security module.
The manufacturer may set a default version of the policy of the vehicle security module. The manufacturer may selectively authorize policy change requestors to override one or more aspects of the policy of the vehicle security module.
The manufacturer may provide an authorization token that identifies changes that a policy change requestor is permitted to make to a vehicle having the vehicle security module.
A policy select function may be implemented by a switch to select a drive mode or a diagnostics mode for the vehicle security module. A resulting policy of a drive mode with the authorization token may be the drive mode with changes of the policy contained in the authorization token. The resulting policy of a drive mode without the authorization token may be the drive mode absent changes. The resulting policy of a diagnostic mode with the authorization token may be the diagnostic mode with changes of the policy contained in the authorization token. The resulting policy of a diagnostic mode without the authorization token may be the diagnostic mode absent changes.
The authorization token may be implemented in a cryptographic manner.
When the vehicle security module is in the diagnostics mode, the vehicle security module may emit a signal of an audible or visible nature to inform anyone in a vicinity of the vehicle that the policy of the vehicle security module, which is enforced while the vehicle is in the drive mode, is bypassed.
A policy change requestor may perform a cryptographic handshake with the vehicle to ensure that the policy change request is authorized.
A mechanism for providing authorized changes of policy to the vehicle security module, may incorporate a vehicle security module, an on board diagnostics port connected to the vehicle security module, one or more controller area network (CAN) buses connected to the vehicle security module, and one or more electronic control units (ECUs) connected to the one or more CAN buses. The one or more ECUs may be associated with one or more components, respectively, of a vehicle.
An association with the one or more components may incorporate one or more items of a group consisting of functions, settings, control and diagnostics of the one or more components.
The mechanism may further incorporate a dongle plugged into the on board diagnostics port. The dongle may incorporate a loaded authorization token. The authorization token may authorize a change of policy of the vehicle security module.
The authorization token may allow the vehicle security module to confirm one or more items of a group incorporating an identity of the dongle, the authorization token being bound to the dongle, and the authorization token being validated by a manufacturer of the vehicle. The policy in the vehicle security module may be changed in the field by using the authorization token that is cryptographically protected.
Any publication or patent document noted herein is hereby incorporated by reference to the same extent as if each publication or patent document was specifically and individually indicated to be incorporated by reference.
In the present specification, some of the matter may be of a hypothetical or prophetic nature although stated in another manner or tense.
Although the present system and/or approach has been described with respect to at least one illustrative example, many variations and modifications will become apparent to those skilled in the art upon reading the specification. It is therefore the intention that the appended claims be interpreted as broadly as possible in view of the related art to include all such variations and modifications.
Number | Name | Date | Kind |
---|---|---|---|
3744461 | Davis | Jul 1973 | A |
4005578 | McInerney | Feb 1977 | A |
4055158 | Marsee | Oct 1977 | A |
4206606 | Yamada | Jun 1980 | A |
4252098 | Tomczak et al. | Feb 1981 | A |
4359991 | Stumpp et al. | Nov 1982 | A |
4383441 | Willis et al. | May 1983 | A |
4426982 | Lehner et al. | Jan 1984 | A |
4438497 | Willis et al. | Mar 1984 | A |
4440140 | Kawagoe et al. | Apr 1984 | A |
4456883 | Bullis et al. | Jun 1984 | A |
4485794 | Kimberley et al. | Dec 1984 | A |
4601270 | Kimberley et al. | Jul 1986 | A |
4616308 | Morshedi et al. | Oct 1986 | A |
4653449 | Kamel et al. | Mar 1987 | A |
4671235 | Hosaka | Jun 1987 | A |
4735181 | Kaneko et al. | Apr 1988 | A |
4947334 | Massey et al. | Aug 1990 | A |
4962570 | Hosaka et al. | Oct 1990 | A |
5044337 | Williams | Sep 1991 | A |
5076237 | Hartman et al. | Dec 1991 | A |
5089236 | Clerc | Feb 1992 | A |
5094213 | Dudek et al. | Mar 1992 | A |
5095874 | Schnaibel et al. | Mar 1992 | A |
5108716 | Nishizawa et al. | Apr 1992 | A |
5123397 | Richeson | Jun 1992 | A |
5150289 | Badavas | Sep 1992 | A |
5186081 | Richardson et al. | Feb 1993 | A |
5233829 | Komatsu | Aug 1993 | A |
5270935 | Dudek et al. | Dec 1993 | A |
5273019 | Matthews et al. | Dec 1993 | A |
5282449 | Takahashi et al. | Feb 1994 | A |
5293553 | Dudek et al. | Mar 1994 | A |
5349816 | Sanbayashi et al. | Sep 1994 | A |
5365734 | Takeshima | Nov 1994 | A |
5394322 | Hansen | Feb 1995 | A |
5394331 | Dudek et al. | Feb 1995 | A |
5398502 | Watanabe | Mar 1995 | A |
5408406 | Mathur et al. | Apr 1995 | A |
5431139 | Grutter et al. | Jul 1995 | A |
5452576 | Hamburg et al. | Sep 1995 | A |
5477840 | Neumann | Dec 1995 | A |
5560208 | Halimi et al. | Oct 1996 | A |
5570574 | Yamashita et al. | Nov 1996 | A |
5598825 | Neumann | Feb 1997 | A |
5609139 | Ueda et al. | Mar 1997 | A |
5611198 | Lane et al. | Mar 1997 | A |
5682317 | Keeler et al. | Oct 1997 | A |
5690086 | Kawano et al. | Nov 1997 | A |
5692478 | Nogi et al. | Dec 1997 | A |
5697339 | Esposito | Dec 1997 | A |
5704011 | Hansen et al. | Dec 1997 | A |
5740033 | Wassick et al. | Apr 1998 | A |
5746183 | Parke et al. | May 1998 | A |
5765533 | Nakajima | Jun 1998 | A |
5771867 | Amstutz et al. | Jun 1998 | A |
5785030 | Paas | Jul 1998 | A |
5788004 | Friedmann et al. | Aug 1998 | A |
5842340 | Bush et al. | Dec 1998 | A |
5846157 | Reinke et al. | Dec 1998 | A |
5893092 | Driscoll | Apr 1999 | A |
5917405 | Joao | Jun 1999 | A |
5924280 | Tarabulski | Jul 1999 | A |
5942195 | Lecea et al. | Aug 1999 | A |
5964199 | Atago et al. | Oct 1999 | A |
5970075 | Wasada | Oct 1999 | A |
5974788 | Hepburn et al. | Nov 1999 | A |
5995895 | Watt et al. | Nov 1999 | A |
6029626 | Bruestle | Feb 2000 | A |
6035640 | Kolmanovsky et al. | Mar 2000 | A |
6048620 | Zhong | Apr 2000 | A |
6048628 | Hilman et al. | Apr 2000 | A |
6055810 | Borland et al. | May 2000 | A |
6056781 | Wassick et al. | May 2000 | A |
6058700 | Yamashita et al. | May 2000 | A |
6067800 | Kolmanovsky et al. | May 2000 | A |
6076353 | Freudenberg et al. | Jun 2000 | A |
6105365 | Deeba et al. | Aug 2000 | A |
6122555 | Lu | Sep 2000 | A |
6134883 | Kato et al. | Oct 2000 | A |
6153159 | Engeler et al. | Nov 2000 | A |
6161528 | Akao et al. | Dec 2000 | A |
6170259 | Boegner et al. | Jan 2001 | B1 |
6171556 | Burk et al. | Jan 2001 | B1 |
6178743 | Hirota et al. | Jan 2001 | B1 |
6178749 | Kolmanovsky et al. | Jan 2001 | B1 |
6208914 | Ward et al. | Mar 2001 | B1 |
6216083 | Ulyanov et al. | Apr 2001 | B1 |
6233922 | Maloney | May 2001 | B1 |
6236956 | Mantooth et al. | May 2001 | B1 |
6237330 | Takahashi et al. | May 2001 | B1 |
6242873 | Drozdz et al. | Jun 2001 | B1 |
6263672 | Roby et al. | Jul 2001 | B1 |
6273060 | Cullen | Aug 2001 | B1 |
6279551 | Iwano et al. | Aug 2001 | B1 |
6312538 | Latypov et al. | Nov 2001 | B1 |
6314351 | Chutorash | Nov 2001 | B1 |
6314662 | Ellis, III | Nov 2001 | B1 |
6314724 | Kakuyama et al. | Nov 2001 | B1 |
6321538 | Hasler et al. | Nov 2001 | B2 |
6327361 | Harshavardhana et al. | Dec 2001 | B1 |
6338245 | Shimoda et al. | Jan 2002 | B1 |
6341487 | Takahashi et al. | Jan 2002 | B1 |
6347619 | Whiting et al. | Feb 2002 | B1 |
6360159 | Miller et al. | Mar 2002 | B1 |
6360541 | Waszkiewicz et al. | Mar 2002 | B2 |
6360732 | Bailey et al. | Mar 2002 | B1 |
6363715 | Bidner et al. | Apr 2002 | B1 |
6363907 | Arai et al. | Apr 2002 | B1 |
6379281 | Collins et al. | Apr 2002 | B1 |
6389203 | Jordan et al. | May 2002 | B1 |
6425371 | Majima | Jul 2002 | B2 |
6427436 | Allansson et al. | Aug 2002 | B1 |
6431160 | Sugiyama et al. | Aug 2002 | B1 |
6445963 | Blevins et al. | Sep 2002 | B1 |
6446430 | Roth et al. | Sep 2002 | B1 |
6453308 | Zhao et al. | Sep 2002 | B1 |
6463733 | Asik et al. | Oct 2002 | B1 |
6463734 | Tamura et al. | Oct 2002 | B1 |
6466893 | Latwesen et al. | Oct 2002 | B1 |
6470682 | Gray, Jr. | Oct 2002 | B2 |
6470862 | Isobe et al. | Oct 2002 | B2 |
6470886 | Jestrabek-Hart | Oct 2002 | B1 |
6481139 | Weldle | Nov 2002 | B2 |
6494038 | Kobayashi et al. | Dec 2002 | B2 |
6502391 | Hirota et al. | Jan 2003 | B1 |
6505465 | Kanazawa et al. | Jan 2003 | B2 |
6510351 | Blevins et al. | Jan 2003 | B1 |
6512974 | Houston et al. | Jan 2003 | B2 |
6513495 | Franke et al. | Feb 2003 | B1 |
6532433 | Bharadwaj et al. | Mar 2003 | B2 |
6542076 | Joao | Apr 2003 | B1 |
6546329 | Bellinger | Apr 2003 | B2 |
6549130 | Joao | Apr 2003 | B1 |
6550307 | Zhang et al. | Apr 2003 | B1 |
6553754 | Meyer et al. | Apr 2003 | B2 |
6560528 | Gitlin et al. | May 2003 | B1 |
6560960 | Nishimura et al. | May 2003 | B2 |
6571191 | York et al. | May 2003 | B1 |
6579206 | Liu et al. | Jun 2003 | B2 |
6591605 | Lewis | Jul 2003 | B2 |
6594990 | Kuenstler et al. | Jul 2003 | B2 |
6601387 | Zurawski et al. | Aug 2003 | B2 |
6612293 | Schweinzer et al. | Sep 2003 | B2 |
6615584 | Ostertag | Sep 2003 | B2 |
6625978 | Eriksson et al. | Sep 2003 | B1 |
6629408 | Murakami et al. | Oct 2003 | B1 |
6637382 | Brehob et al. | Oct 2003 | B1 |
6644017 | Takahashi et al. | Nov 2003 | B2 |
6647710 | Nishiyama et al. | Nov 2003 | B2 |
6647971 | Vaughan et al. | Nov 2003 | B2 |
6651614 | Flamig-Vetter et al. | Nov 2003 | B2 |
6662058 | Sanchez | Dec 2003 | B1 |
6666198 | Mitsutani | Dec 2003 | B2 |
6666410 | Boelitz et al. | Dec 2003 | B2 |
6671596 | Kawashima et al. | Dec 2003 | B2 |
6671603 | Cari et al. | Dec 2003 | B2 |
6672052 | Taga et al. | Jan 2004 | B2 |
6672060 | Buckland et al. | Jan 2004 | B1 |
6679050 | Takahashi et al. | Jan 2004 | B1 |
6687597 | Sulatisky et al. | Feb 2004 | B2 |
6688283 | Jaye | Feb 2004 | B2 |
6694244 | Meyer et al. | Feb 2004 | B2 |
6694724 | Tanaka et al. | Feb 2004 | B2 |
6705084 | Allen et al. | Mar 2004 | B2 |
6718254 | Hashimoto et al. | Apr 2004 | B2 |
6718753 | Bromberg et al. | Apr 2004 | B2 |
6725208 | Hartman et al. | Apr 2004 | B1 |
6736120 | Surnilla | May 2004 | B2 |
6738682 | Pasadyn | May 2004 | B1 |
6739122 | Kitajima et al. | May 2004 | B2 |
6742330 | Genderen | Jun 2004 | B2 |
6743352 | Ando et al. | Jun 2004 | B2 |
6748936 | Kinomura et al. | Jun 2004 | B2 |
6752131 | Poola et al. | Jun 2004 | B2 |
6752135 | McLaughlin et al. | Jun 2004 | B2 |
6757579 | Pasadyn | Jun 2004 | B1 |
6758037 | Terada et al. | Jul 2004 | B2 |
6760631 | Berkowitz et al. | Jul 2004 | B1 |
6760657 | Katoh | Jul 2004 | B2 |
6760658 | Yasui et al. | Jul 2004 | B2 |
6770009 | Badillo et al. | Aug 2004 | B2 |
6772585 | Iihoshi et al. | Aug 2004 | B2 |
6775623 | Ali et al. | Aug 2004 | B2 |
6779344 | Hartman et al. | Aug 2004 | B2 |
6779512 | Mitsutani | Aug 2004 | B2 |
6788072 | Nagy et al. | Sep 2004 | B2 |
6789533 | Hashimoto et al. | Sep 2004 | B1 |
6792927 | Kobayashi | Sep 2004 | B2 |
6804618 | Junk | Oct 2004 | B2 |
6814062 | Esteghlal et al. | Nov 2004 | B2 |
6817171 | Zhu | Nov 2004 | B2 |
6823667 | Braun et al. | Nov 2004 | B2 |
6826903 | Yahata et al. | Dec 2004 | B2 |
6827060 | Huh | Dec 2004 | B2 |
6827061 | Nytomt et al. | Dec 2004 | B2 |
6827070 | Fehl et al. | Dec 2004 | B2 |
6834497 | Miyoshi et al. | Dec 2004 | B2 |
6837042 | Colignon et al. | Jan 2005 | B2 |
6839637 | Moteki et al. | Jan 2005 | B2 |
6849030 | Yamamoto et al. | Feb 2005 | B2 |
6857264 | Ament | Feb 2005 | B2 |
6873675 | Kurady et al. | Mar 2005 | B2 |
6874467 | Hunt et al. | Apr 2005 | B2 |
6879906 | Makki et al. | Apr 2005 | B2 |
6882929 | Liang et al. | Apr 2005 | B2 |
6904751 | Makki et al. | Jun 2005 | B2 |
6911414 | Kimura et al. | Jun 2005 | B2 |
6915779 | Sriprakash | Jul 2005 | B2 |
6920865 | Lyon | Jul 2005 | B2 |
6923902 | Ando et al. | Aug 2005 | B2 |
6925372 | Yasui | Aug 2005 | B2 |
6925796 | Nieuwstadt et al. | Aug 2005 | B2 |
6928362 | Meaney | Aug 2005 | B2 |
6928817 | Ahmad | Aug 2005 | B2 |
6931840 | Strayer et al. | Aug 2005 | B2 |
6934931 | Plumer et al. | Aug 2005 | B2 |
6941744 | Tanaka | Sep 2005 | B2 |
6945033 | Sealy et al. | Sep 2005 | B2 |
6948310 | Roberts, Jr. et al. | Sep 2005 | B2 |
6953024 | Linna et al. | Oct 2005 | B2 |
6965826 | Andres et al. | Nov 2005 | B2 |
6968677 | Tamura | Nov 2005 | B2 |
6971258 | Rhodes et al. | Dec 2005 | B2 |
6973382 | Rodriguez et al. | Dec 2005 | B2 |
6978744 | Yuasa et al. | Dec 2005 | B2 |
6988017 | Pasadyn et al. | Jan 2006 | B2 |
6990401 | Neiss et al. | Jan 2006 | B2 |
6996975 | Radhamohan et al. | Feb 2006 | B2 |
7000379 | Makki et al. | Feb 2006 | B2 |
7013637 | Yoshida | Mar 2006 | B2 |
7016779 | Bowyer | Mar 2006 | B2 |
7028464 | Rosel et al. | Apr 2006 | B2 |
7039475 | Sayyarrodsari et al. | May 2006 | B2 |
7047938 | Flynn et al. | May 2006 | B2 |
7050863 | Mehta et al. | May 2006 | B2 |
7052434 | Makino et al. | May 2006 | B2 |
7055311 | Beutel et al. | Jun 2006 | B2 |
7059112 | Bidner et al. | Jun 2006 | B2 |
7063080 | Kita et al. | Jun 2006 | B2 |
7067319 | Wills et al. | Jun 2006 | B2 |
7069903 | Surnilla et al. | Jul 2006 | B2 |
7082753 | Della Betta et al. | Aug 2006 | B2 |
7085615 | Persson et al. | Aug 2006 | B2 |
7106866 | Astorino et al. | Sep 2006 | B2 |
7107978 | Itoyama | Sep 2006 | B2 |
7111450 | Sumilla | Sep 2006 | B2 |
7111455 | Okugawa et al. | Sep 2006 | B2 |
7113835 | Boyen et al. | Sep 2006 | B2 |
7117046 | Boyden et al. | Oct 2006 | B2 |
7124013 | Yasui | Oct 2006 | B2 |
7149590 | Martin et al. | Dec 2006 | B2 |
7151976 | Lin | Dec 2006 | B2 |
7152023 | Das | Dec 2006 | B2 |
7155334 | Stewart et al. | Dec 2006 | B1 |
7164800 | Sun | Jan 2007 | B2 |
7165393 | Betta et al. | Jan 2007 | B2 |
7165399 | Stewart | Jan 2007 | B2 |
7168239 | Ingram et al. | Jan 2007 | B2 |
7182075 | Shahed et al. | Feb 2007 | B2 |
7184845 | Sayyarrodsari et al. | Feb 2007 | B2 |
7184992 | Polyak et al. | Feb 2007 | B1 |
7188637 | Dreyer et al. | Mar 2007 | B2 |
7194987 | Mogi | Mar 2007 | B2 |
7197485 | Fuller | Mar 2007 | B2 |
7200988 | Yamashita | Apr 2007 | B2 |
7204079 | Audoin | Apr 2007 | B2 |
7212908 | Li et al. | May 2007 | B2 |
7275374 | Stewart et al. | Oct 2007 | B2 |
7275415 | Rhodes et al. | Oct 2007 | B2 |
7277010 | Joao | Oct 2007 | B2 |
7281368 | Miyake et al. | Oct 2007 | B2 |
7292926 | Schmidt et al. | Nov 2007 | B2 |
7302937 | Ma et al. | Dec 2007 | B2 |
7321834 | Chu et al. | Jan 2008 | B2 |
7323036 | Boyden et al. | Jan 2008 | B2 |
7328577 | Stewart et al. | Feb 2008 | B2 |
7337022 | Wojsznis et al. | Feb 2008 | B2 |
7349776 | Spillane et al. | Mar 2008 | B2 |
7383118 | Imai et al. | Mar 2008 | B2 |
7357125 | Kolavennu | Apr 2008 | B2 |
7375374 | Chen et al. | May 2008 | B2 |
7376471 | Das et al. | May 2008 | B2 |
7380547 | Ruiz | Jun 2008 | B1 |
7389773 | Stewart et al. | Jun 2008 | B2 |
7392129 | Hill et al. | Jun 2008 | B2 |
7397363 | Joao | Jul 2008 | B2 |
7398082 | Schwinke et al. | Jul 2008 | B2 |
7398149 | Ueno et al. | Jul 2008 | B2 |
7400933 | Rawlings et al. | Jul 2008 | B2 |
7400967 | Ueno et al. | Jul 2008 | B2 |
7413583 | Langer et al. | Aug 2008 | B2 |
7415389 | Stewart et al. | Aug 2008 | B2 |
7418372 | Nishira et al. | Aug 2008 | B2 |
7430854 | Yasui et al. | Oct 2008 | B2 |
7433743 | Pistikopoulos et al. | Oct 2008 | B2 |
7444191 | Caldwell et al. | Oct 2008 | B2 |
7444193 | Cutler | Oct 2008 | B2 |
7447554 | Cutler | Nov 2008 | B2 |
7467614 | Stewart et al. | Dec 2008 | B2 |
7469177 | Samad et al. | Dec 2008 | B2 |
7474953 | Hulser et al. | Jan 2009 | B2 |
7493236 | Mock et al. | Feb 2009 | B1 |
7505879 | Tomoyasu et al. | Mar 2009 | B2 |
7505882 | Jenny et al. | Mar 2009 | B2 |
7515975 | Stewart | Apr 2009 | B2 |
7522963 | Boyden et al. | Apr 2009 | B2 |
7536232 | Boyden et al. | May 2009 | B2 |
7577483 | Fan et al. | Aug 2009 | B2 |
7587253 | Rawlings et al. | Sep 2009 | B2 |
7591135 | Stewart | Sep 2009 | B2 |
7599749 | Sayyarrodsari et al. | Oct 2009 | B2 |
7599750 | Piche | Oct 2009 | B2 |
7603185 | Stewart et al. | Oct 2009 | B2 |
7603226 | Henein | Oct 2009 | B2 |
7627843 | Dozorets et al. | Dec 2009 | B2 |
7630868 | Turner et al. | Dec 2009 | B2 |
7634323 | Vermillion et al. | Dec 2009 | B2 |
7634417 | Boyden et al. | Dec 2009 | B2 |
7650780 | Hall | Jan 2010 | B2 |
7668704 | Perchanok et al. | Feb 2010 | B2 |
7676318 | Allain | Mar 2010 | B2 |
7698004 | Boyden et al. | Apr 2010 | B2 |
7702519 | Boyden et al. | Apr 2010 | B2 |
7712139 | Westendorf et al. | May 2010 | B2 |
7721030 | Fuehrer et al. | May 2010 | B2 |
7725199 | Brackney et al. | May 2010 | B2 |
7734291 | Mazzara, Jr. | Jun 2010 | B2 |
7738975 | Denison et al. | Jun 2010 | B2 |
7743606 | Havelena et al. | Jun 2010 | B2 |
7748217 | Muller | Jul 2010 | B2 |
7752840 | Stewart | Jul 2010 | B2 |
7765792 | Rhodes et al. | Aug 2010 | B2 |
7779680 | Sasaki et al. | Aug 2010 | B2 |
7793489 | Wang et al. | Sep 2010 | B2 |
7798938 | Matsubara et al. | Sep 2010 | B2 |
7808371 | Blanchet et al. | Oct 2010 | B2 |
7813884 | Chu et al. | Oct 2010 | B2 |
7826909 | Attarwala | Nov 2010 | B2 |
7831318 | Bartee et al. | Nov 2010 | B2 |
7840287 | Wojsznis et al. | Nov 2010 | B2 |
7844351 | Piche | Nov 2010 | B2 |
7844352 | Vouzis et al. | Nov 2010 | B2 |
7846299 | Backstrom et al. | Dec 2010 | B2 |
7850104 | Havlena et al. | Dec 2010 | B2 |
7856966 | Saitoh | Dec 2010 | B2 |
7860586 | Boyden et al. | Dec 2010 | B2 |
7861518 | Federle | Jan 2011 | B2 |
7862771 | Boyden et al. | Jan 2011 | B2 |
7877239 | Grichnik et al. | Jan 2011 | B2 |
7878178 | Stewart et al. | Feb 2011 | B2 |
7891669 | Araujo et al. | Feb 2011 | B2 |
7904280 | Wood | Mar 2011 | B2 |
7905103 | Larsen et al. | Mar 2011 | B2 |
7907769 | Sammak et al. | Mar 2011 | B2 |
7925399 | Comeau | Apr 2011 | B2 |
7930044 | Attarwala | Apr 2011 | B2 |
7933849 | Bartee et al. | Apr 2011 | B2 |
7958730 | Stewart et al. | Jun 2011 | B2 |
7970482 | Srinivasan et al. | Jun 2011 | B2 |
7987145 | Baramov | Jul 2011 | B2 |
7996140 | Stewart et al. | Aug 2011 | B2 |
8001767 | Kakuya et al. | Aug 2011 | B2 |
8019911 | Dressler et al. | Sep 2011 | B2 |
8025167 | Schneider et al. | Sep 2011 | B2 |
8032235 | Sayyar-Rodsari | Oct 2011 | B2 |
8046089 | Renfro et al. | Oct 2011 | B2 |
8046090 | MacArthur et al. | Oct 2011 | B2 |
8060290 | Stewart et al. | Nov 2011 | B2 |
8078291 | Pekar et al. | Dec 2011 | B2 |
8108790 | Morrison, Jr. et al. | Jan 2012 | B2 |
8109255 | Stewart et al. | Feb 2012 | B2 |
8121818 | Gorinevsky | Feb 2012 | B2 |
8145329 | Pekar et al. | Mar 2012 | B2 |
8146850 | Havlena et al. | Apr 2012 | B2 |
8157035 | Whitney et al. | Apr 2012 | B2 |
8185217 | Thiele | May 2012 | B2 |
8197753 | Boyden et al. | Jun 2012 | B2 |
8200346 | Thiele | Jun 2012 | B2 |
8209963 | Kesse et al. | Jul 2012 | B2 |
8229163 | Coleman et al. | Jul 2012 | B2 |
8245501 | He et al. | Aug 2012 | B2 |
8246508 | Matsubara et al. | Aug 2012 | B2 |
8265854 | Stewart et al. | Sep 2012 | B2 |
8281572 | Chi et al. | Oct 2012 | B2 |
8295951 | Crisalle et al. | Oct 2012 | B2 |
8311653 | Zhan et al. | Nov 2012 | B2 |
8312860 | Yun et al. | Nov 2012 | B2 |
8316235 | Boehl et al. | Nov 2012 | B2 |
8360040 | Stewart et al. | Jan 2013 | B2 |
8370052 | Lin et al. | Feb 2013 | B2 |
8379267 | Mestha et al. | Feb 2013 | B2 |
8396644 | Kabashima et al. | Mar 2013 | B2 |
8402268 | Dierickx | Mar 2013 | B2 |
8418441 | He et al. | Apr 2013 | B2 |
8453431 | Wang et al. | Jun 2013 | B2 |
8473079 | Havlena | Jun 2013 | B2 |
8478506 | Grichnik et al. | Jul 2013 | B2 |
RE44452 | Stewart et al. | Aug 2013 | E |
8504175 | Pekar et al. | Aug 2013 | B2 |
8505278 | Farrell et al. | Aug 2013 | B2 |
8543170 | Mazzara, Jr. et al. | Sep 2013 | B2 |
8555613 | Wang et al. | Oct 2013 | B2 |
8571689 | Macharia et al. | Oct 2013 | B2 |
8596045 | Tuomivaara et al. | Dec 2013 | B2 |
8620461 | Kihas | Dec 2013 | B2 |
8634940 | Macharia et al. | Jan 2014 | B2 |
8639925 | Schuetze | Jan 2014 | B2 |
8649884 | MacArthur et al. | Feb 2014 | B2 |
8649961 | Hawkins et al. | Feb 2014 | B2 |
8667288 | Yavuz | Mar 2014 | B2 |
8694197 | Rajagopalan et al. | Apr 2014 | B2 |
8700291 | Herrmann | Apr 2014 | B2 |
8751241 | Oesterling et al. | Jun 2014 | B2 |
8762026 | Wolfe et al. | Jun 2014 | B2 |
8763377 | Yacoub | Jul 2014 | B2 |
8768996 | Shokrollahi et al. | Jul 2014 | B2 |
8813690 | Kumar et al. | Aug 2014 | B2 |
8825243 | Yang et al. | Sep 2014 | B2 |
8839967 | Schneider et al. | Sep 2014 | B2 |
8867746 | Ceskutti et al. | Oct 2014 | B2 |
8892221 | Kram et al. | Nov 2014 | B2 |
8899018 | Frazier et al. | Dec 2014 | B2 |
8904760 | Mital | Dec 2014 | B2 |
8983069 | Merchan et al. | Mar 2015 | B2 |
9100193 | Newsome et al. | Aug 2015 | B2 |
9141996 | Christensen et al. | Sep 2015 | B2 |
9170573 | Kihas | Oct 2015 | B2 |
9175595 | Ceynow et al. | Nov 2015 | B2 |
9223301 | Stewart et al. | Dec 2015 | B2 |
9243576 | Yu et al. | Jan 2016 | B2 |
9253200 | Schwarz et al. | Feb 2016 | B2 |
9325494 | Boehl | Apr 2016 | B2 |
9367701 | Merchan et al. | Jun 2016 | B2 |
9367968 | Giraud et al. | Jun 2016 | B2 |
9483881 | Comeau et al. | Nov 2016 | B2 |
9560071 | Ruvio et al. | Jan 2017 | B2 |
9779742 | Newsome, Jr. | Oct 2017 | B2 |
20020112469 | Kanazawa et al. | Aug 2002 | A1 |
20040006973 | Makki et al. | Jan 2004 | A1 |
20040086185 | Sun | May 2004 | A1 |
20040144082 | Mianzo et al. | Jul 2004 | A1 |
20040199481 | Hartman et al. | Oct 2004 | A1 |
20040226287 | Edgar et al. | Nov 2004 | A1 |
20050171667 | Morita | Aug 2005 | A1 |
20050187643 | Sayyar-Rodsari et al. | Aug 2005 | A1 |
20050193739 | Brunell et al. | Sep 2005 | A1 |
20050210868 | Funabashi | Sep 2005 | A1 |
20060047607 | Boyden et al. | Mar 2006 | A1 |
20060111881 | Jackson | May 2006 | A1 |
20060137347 | Stewart et al. | Jun 2006 | A1 |
20060168945 | Samad et al. | Aug 2006 | A1 |
20060185626 | Allen et al. | Aug 2006 | A1 |
20060212140 | Brackney | Sep 2006 | A1 |
20070144149 | Kolavennu et al. | Jun 2007 | A1 |
20070156259 | Baramov et al. | Jul 2007 | A1 |
20070240213 | Karam et al. | Oct 2007 | A1 |
20070261648 | Reckels et al. | Nov 2007 | A1 |
20070275471 | Coward | Nov 2007 | A1 |
20080010973 | Gimbres | Jan 2008 | A1 |
20080103747 | Macharia et al. | May 2008 | A1 |
20080132178 | Chatterjee et al. | Jun 2008 | A1 |
20080208778 | Sayyar-Rodsari et al. | Aug 2008 | A1 |
20080289605 | Ito | Nov 2008 | A1 |
20090172416 | Bosch et al. | Jul 2009 | A1 |
20090312998 | Berckmans et al. | Dec 2009 | A1 |
20100122523 | Vosz | May 2010 | A1 |
20100126481 | Willi et al. | May 2010 | A1 |
20100300069 | Herrmann et al. | Dec 2010 | A1 |
20110056265 | Yacoub | Mar 2011 | A1 |
20110060424 | Havlena | Mar 2011 | A1 |
20110125295 | Bednasch et al. | May 2011 | A1 |
20110131017 | Cheng et al. | Jun 2011 | A1 |
20110167025 | Danai et al. | Jul 2011 | A1 |
20110173315 | Aguren | Jul 2011 | A1 |
20110264353 | Atkinson et al. | Oct 2011 | A1 |
20110270505 | Chaturvedi et al. | Nov 2011 | A1 |
20120024089 | Couey et al. | Feb 2012 | A1 |
20120109620 | Gaikwad et al. | May 2012 | A1 |
20120174187 | Argon et al. | Jul 2012 | A1 |
20130024069 | Wang et al. | Jan 2013 | A1 |
20130067894 | Stewart et al. | Mar 2013 | A1 |
20130111878 | Pachner et al. | May 2013 | A1 |
20130111905 | Pekar et al. | May 2013 | A1 |
20130131954 | Yu et al. | May 2013 | A1 |
20130131956 | Thibault et al. | May 2013 | A1 |
20130158834 | Wagner et al. | Jun 2013 | A1 |
20130204403 | Zheng et al. | Aug 2013 | A1 |
20130242706 | Newsome, Jr. | Sep 2013 | A1 |
20130326232 | Lewis et al. | Dec 2013 | A1 |
20130326630 | Argon | Dec 2013 | A1 |
20130338900 | Ardanese et al. | Dec 2013 | A1 |
20140032189 | Hehle et al. | Jan 2014 | A1 |
20140032800 | Peirce et al. | Jan 2014 | A1 |
20140034460 | Chou | Feb 2014 | A1 |
20140171856 | McLaughlin et al. | Jun 2014 | A1 |
20140258736 | Merchan et al. | Sep 2014 | A1 |
20140270163 | Merchan | Sep 2014 | A1 |
20140316683 | Whitney et al. | Oct 2014 | A1 |
20140318216 | Singh | Oct 2014 | A1 |
20140343713 | Ziegler et al. | Nov 2014 | A1 |
20140358254 | Chu et al. | Dec 2014 | A1 |
20150020152 | Litichever et al. | Jan 2015 | A1 |
20150121071 | Schwarz et al. | Apr 2015 | A1 |
20150191135 | Ben Noon | Jul 2015 | A1 |
20150275783 | Wong et al. | Oct 2015 | A1 |
20150321642 | Schwepp et al. | Nov 2015 | A1 |
20150324576 | Quirant et al. | Nov 2015 | A1 |
20150334093 | Mueller | Nov 2015 | A1 |
20160003180 | McNulty et al. | Jan 2016 | A1 |
20160012653 | Soroko | Jan 2016 | A1 |
20160043832 | Ahn et al. | Feb 2016 | A1 |
20160082903 | Haggerty | Mar 2016 | A1 |
20160108732 | Huang et al. | Apr 2016 | A1 |
20160127357 | Zibuschka et al. | May 2016 | A1 |
20160216699 | Pekar et al. | Jul 2016 | A1 |
20160239593 | Pekar et al. | Aug 2016 | A1 |
20160259584 | Schlottmann et al. | Sep 2016 | A1 |
20160330204 | Baur et al. | Nov 2016 | A1 |
20160344705 | Stumpf et al. | Nov 2016 | A1 |
20160362838 | Badwe et al. | Dec 2016 | A1 |
20160365977 | Boutros et al. | Dec 2016 | A1 |
20170031332 | Santin | Feb 2017 | A1 |
20170048063 | Mueller | Feb 2017 | A1 |
20170109521 | Ujiie | Apr 2017 | A1 |
20170126701 | Glas et al. | May 2017 | A1 |
20170218860 | Pachner et al. | Aug 2017 | A1 |
20170259761 | Ben Noon | Sep 2017 | A1 |
20170300713 | Fan et al. | Oct 2017 | A1 |
20170306871 | Fuxman et al. | Oct 2017 | A1 |
Number | Date | Country |
---|---|---|
102063561 | May 2011 | CN |
102331350 | Jan 2012 | CN |
19628796 | Oct 1997 | DE |
10219382 | Nov 2002 | DE |
102009016509 | Oct 2010 | DE |
102011103346 | Aug 2012 | DE |
0301527 | Feb 1989 | EP |
0877309 | Jun 2000 | EP |
1134368 | Sep 2001 | EP |
1180583 | Feb 2002 | EP |
1221544 | Jul 2002 | EP |
1225490 | Jul 2002 | EP |
1245811 | Oct 2002 | EP |
1273337 | Jan 2003 | EP |
0950803 | Sep 2003 | EP |
1420153 | May 2004 | EP |
1447727 | Aug 2004 | EP |
1498791 | Jan 2005 | EP |
1425642 61 | Nov 2005 | EP |
1686251 | Aug 2006 | EP |
1399784 | Oct 2007 | EP |
2107439 | Oct 2009 | EP |
2146258 | Jan 2010 | EP |
1794339 | Jul 2011 | EP |
1529941 | Nov 2011 | EP |
2543845 | Jan 2013 | EP |
2551480 | Jan 2013 | EP |
2589779 | May 2013 | EP |
2617975 | Jul 2013 | EP |
2267559 | Jan 2014 | EP |
2892201 | Jul 2015 | EP |
2919079 | Sep 2015 | EP |
59190433 | Oct 1984 | JP |
2010282618 | Dec 2010 | JP |
0144629 | Jun 2001 | WO |
0169056 | Sep 2001 | WO |
0232552 | Apr 2002 | WO |
02097540 | Dec 2002 | WO |
02101208 | Dec 2002 | WO |
03023538 | Mar 2003 | WO |
03048533 | Jun 2003 | WO |
03065135 | Aug 2003 | WO |
03078816 | Sep 2003 | WO |
03102394 | Dec 2003 | WO |
2004027230 | Apr 2004 | WO |
2006021437 | Mar 2006 | WO |
2007078907 | Jul 2007 | WO |
2008033800 | Mar 2008 | WO |
2008115911 | Sep 2008 | WO |
2012076838 | Jun 2012 | WO |
2013119665 | Aug 2013 | WO |
2014165439 | Oct 2014 | WO |
2015019104 | Feb 2015 | WO |
2016053194 | Apr 2016 | WO |
WO 2016091439 | Jun 2016 | WO |
Entry |
---|
The Extended European Search Report for EP Application No. 17151521.6, dated Oct. 23, 2017. |
The Extended European Search Report for EP Application No. 17163452.0, dated Sep. 26, 2017. |
Greenberg, “Hackers Cut a Corvette's Brakes Via A Common Car Gadget,” downloaded from https://www.wired.com2015/08/hackers-cut-corvettes-brakes-v . . . , 14 pages, Aug. 11, 2015, printed Dec. 11, 2017. |
http://www.blackpoolcommunications.com/products/alarm-immo . . . , “OBD Security OBD Port Protection—Alarms & Immobilizers . . . ,” 1 page, printed Jun. 5, 2017. |
http://www.cnbc.com/2016/09/20/chinese-company-hacks-tesla-car-remotely.html, “Chinese Company Hacks Tesla Car Remotely,” 3 pages, Sep. 20, 2016. |
ISO, “ISO Document No. 13185-2:2015(E),” 3 pages, 2015. |
“J1979 E/E Diagnostic Test Modules,” Proposed Regulation, Vehicle E.E. System Diagnostic Standards Committee, 1 page, Sep. 28, 2010. |
“MicroZed Zynq Evaluation and Development and System on Module, Hardware User Guide,” Avnet Electronics Marketing, Version 1.6, Jan. 22, 2015. |
Actron, “Elite AutoScanner Kit—Enhanced OBD I & II Scan Tool, OBD 1300,” Downloaded from https://actron.com/content/elite-autoscanner-kit-enhanced-obd-i-and-obd-ii-scan-tool?utm_ . . . , 5 pages, printed Sep. 27, 2016. |
Blue Streak Electronics Inc., “Ford Modules,” 1 page, May 12, 2010. |
Goodwin, “Researchers Hack a Corvette's Brakes Via Insurance Black Box,” Downloaded from http://www.cnet.com/roadshow/news/researchers-hack-a-corvettes-brakes-via-insurance-black-box/, 2 pages, Aug. 2015. |
Greenberg, “Hackers Remotely Kill a Jeep on the Highway—With Me in It,” Downloaded from http://www.wired.com/2015/07/hackers-remotely-kill-jeep-highway/, 24 pages, Jul. 21, 2015. |
Hammacher Schlemmer, “The Windshield Heads Up Display,” Catalog, p. 47, prior to Apr. 26, 2016. |
https://www.en.wikipedia.org/wiki/Public-key_cryptography, “Public-Key Cryptography,” 14 pages, printed Feb. 26, 2016. |
Zaman, “Lincoln Motor Company: Case study 2015 Lincoln MKC,” Automotive Electronic Design Fundamentals, Chapter 6, 2015. |
“Aftertreatment Modeling of RCCI Engine During Transient Operation,” University of Wisconsin—Engine Research Center, 1 page, May 31, 2014. |
“Chapter 14: Pollutant Formation,” Fluent Manual, Release 15.0, Chapter 14, pp. 313-345, prior to Jan. 29, 2016. |
“Chapter 21, Modeling Pollutant Formation,” Fluent Manual, Release 12.0, Chapter 21, pp. 21-1-21-54, Jan. 30, 2009. |
“Model Predictive Control Toolbox Release Notes,” The Mathworks, 24 pages, Oct. 2008. |
“Model Predictive Control,” Wikipedia, pp. 1-5, Jan. 22, 2009. http://en.wikipedia.org/w/index.php/title=Special:Book&bookcmd=download&collecton_id=641cd1b5da77cc22&writer=rl&return_to=Model predictive control, retrieved Nov. 20, 2012. |
“MPC Implementation Methods for the Optimization of the Response of Control Valves to Reduce Variability,” Advanced Application Note 002, Rev. A, 10 pages, 2007. |
“SCR, 400-csi Coated Catalyst,” Leading NOx Control Technologies Status Summary, 1 page prior to Feb. 2, 2005. |
Allanson, et al., “Optimizing the Low Temperature Performance and Regeneration Efficiency of the Continuously Regenerating Diesel Particulate Filter System” SAE Paper No. 2002-01-0428, 8 pages, Mar. 2002. |
Amstuz, et al., “EGO Sensor Based Robust Output Control of EGR in Diesel Engines,” IEEE TCST, vol. 3, No. 1, 12 pages, Mar. 1995. |
Andersson et al., “A Predictive Real Time NOx Model for Conventional and Partially Premixed Diesel Combustion,” SAE International 2006-01-3329, 10 pages, 2006. |
Andersson et al., “A Real Time NOx Model for Conventional and Partially Premixed Diesel Combustion,” SAE Technical Paper Series 2006-01-0195, 2006 SAE World Congress, 13 pages, Apr. 3-6, 2006. |
Arregle et al., “On Board NOx Prediction in Diesel Engines: A Physical Approach,” Automotive Model Predictive Control, Models Methods and Applications, Chapter 2, 14 pages, 2010. |
Asprion, “Optimal Control of Diesel Engines,” PHD Thesis, Diss ETH No. 21593, 436 pages, 2013. |
Assanis et al., “A Predictive Ignition Delay Correlation Under Steady-State and Transient Operation of a Direct Injection Diesel Engine,” ASME, Journal of Engineering for Gas Turbines and Power, vol. 125, pp. 450-457, Apr. 2003. |
Axehill et al., “A Dual Gradiant Projection Quadratic Programming Algorithm Tailored for Model Predictive Control,” Proceedings of the 47th IEEE Conference on Decision and Control, Cancun Mexico, pp. 3057-3064, Dec. 9-11, 2008. |
Axehill et al., “A Dual Gradient Projection Quadratic Programming Algorithm Tailored for Mixed Integer Predictive Control,” Technical Report from Linkopings Universitet, Report No. Li-Th-ISY-R-2833, 58 pages, Jan. 31, 2008. |
Baffi et al., “Non-Linear Model Based Predictive Control Through Dynamic Non-Linear Partial Least Squares,” Trans IChemE, vol. 80, Part A, pp. 75-86, Jan. 2002. |
Bako et al., “A Recursive Identification Algorithm for Switched Linear/Affine Models,” Nonlinear Analysis: Hybrid Systems, vol. 5, pp. 242-253, 2011. |
Barba et al., “A Phenomenological Combustion Model for Heat Release Rate Prediction in High-Speed DI Diesel Engines with Common Rail Injection,” SAE Technical Paper Series 2000-01-2933, International Fall Fuels and Lubricants Meeting Exposition, 15 pages, Oct. 16-19, 2000. |
Bemporad et al., “Model Predictive Control Toolbox 3, User's Guide,” Matlab Mathworks, 282 pages, 2008. |
Bemporad et al., “The Explicit Linear Quadratic Regulator for Constrained Systems,” Automatica, 38, pp. 3-20, 2002. |
Bemporad, “Model Predictive Control Based on Linear Programming—The Explicit Solution,” IEEE Transactions on Automatic Control, vol. 47, No. 12, pp. 1974-1984, Dec. 2002. |
Bemporad, “Model Predictive Control Design: New Trends and Tools,” Proceedings of the 45th IEEE Conference on Decision & Control, pp. 6678-6683, Dec. 13-15, 2006. |
Bemporad, et al., “Explicit Model Predictive Control,” 1 page, prior to Feb. 2, 2005. |
Bertsekas, “On the Goldstein-Levitin-Polyak Gradient Projection Method,” IEEE Transactions on Automatic Control, vol. AC-21, No. 2, pp. 174-184, Apr. 1976. |
Bertsekas, “Projected Newton Methods for Optimization Problems with Simple Constraints,” SIAM J. Control and Optimization, vol. 20, No. 2, pp. 221-246, Mar. 1982. |
Blanco-Rodriguez, “Modelling and Observation of Exhaust Gas Concentrations for Diesel Engine Control,” Phd Dissertation, 242 pages, Sep. 2013. |
Borrelli et al., “An MPC/Hybrid System Approach to Traction Control,” IEEE Transactions on Control Systems Technology, vol. 14, No. 3, pp. 541-553, May 2006. |
Borrelli, “Constrained Optimal Control of Linear and Hybrid Systems,” Lecture Notes in Control and Information Sciences, vol. 290, 2003. |
Borrelli, “Discrete Time Constrained Optimal Control,” A Dissertation Submitted to the Swiss Federal Institute of Technology (ETH) Zurich, Diss. ETH No. 14666, 232 pages, Oct. 9, 2002. |
Bourn et al., “Advanced Compressor Engine Controls to Enhance Operation, Reliability and Integrity,” Southwest Research Institute, DOE Award No. DE-FC26-03N141859, SwRI Project No. 03.10198, 60 pages, Mar. 2004. |
Catalytica Energy Systems, “Innovative NOx Reduction Solutions for Diesel Engines,” 13 pages, 3rd Quarter, 2003. |
Charalampidis et al., “Computationally Efficient Kalman Filtering for a Class of Nonlinear Systems,” IEEE Transactions on Automatic Control, vol. 56, No. 3, pp. 483-491, Mar. 2011. |
Chatterjee, et al. “Catalytic Emission Control for Heavy Duty Diesel Engines,” JM, 46 pages, prior to Feb. 2, 2005. |
Chew, “Sensor Validation Scheme with Virtual NOx Sensing for Heavy Duty Diesel Engines,” Master's Thesis, 144 pages, 2007. |
European Search Report for EP Application No. 11167549.2 dated Nov. 27, 2012. |
European Search Report for EP Application No. 12191156.4-1603 dated Feb. 9, 2015. |
European Search Report for EP Application No. EP 10175270.7-2302419 dated Jan. 16, 2013. |
European Search Report for EP Application No. EP 15152957.5-1807 dated Feb. 10, 2015. |
The Extended European Search Report for EP Application No. 15155295.7-1606, dated Aug. 4, 2015. |
The Extended European Search Report for EP Application No. 15179435.1, dated Apr. 1, 2016. |
U.S. Appl. No. 15/005,406, filed Jan. 25, 2016. |
U.S. Appl. No. 15/011,445, filed Jan. 29, 2016. |
De Oliveira, “Constraint Handling and Stability Properties of Model Predictive Control,” Camegie Institute of Technology, Department of Chemical Engineering, Paper 197, 64 pages, Jan. 1, 1993. |
De Schutter et al., “Model Predictive Control for Max-Min-Plus-Scaling Systems,” Proceedings of the 2001 American Control Conference, Arlington, VA, pp. 319-324, Jun. 2001. |
Ding, “Characterising Combustion in Diesel Engines, Using Parameterised Finite Stage Cylinder Process Models,” 281 pages, Dec. 21, 2011. |
Docquier et al., “Combustion Control and Sensors: a Review,” Progress in Energy and Combustion Science, vol. 28, pp. 107-150, 2002. |
Dunbar, “Model Predictive Control: Extension to Coordinated Multi-Vehicle Formations and Real-Time Implementation,” CDS Technical Report 01-016, 64 pages, Dec. 7, 2001. |
Egnell, “Combustion Diagnostics by Means of Multizone Heat Release Analysis and NO Calculation,” SAE Technical Paper Series 981424, International Spring Fuels and Lubricants Meeting and Exposition, 22 pages, May 4-6, 1998. |
Ericson, “NOx Modelling of a Complete Diesel Engine/SCR System,” Licentiate Thesis, 57 pages, 2007. |
Finesso et al., “Estimation of the Engine-Out NO2/NOx Ration in a Euro VI Diesel Engine,” SAE International 2013-01-0317, 15 pages, Apr. 8, 2013. |
Fleming, “Overview of Automotive Sensors,” IEEE Sensors Journal, vol. 1, No. 4, pp. 296-308, Dec. 2001. |
Ford Motor Company, “2012 My OBD System Operation Summary for 6.7L Diesel Engines,” 149 pages, Apr. 21, 2011. |
Formentin et al., “NOx Estimation in Diesel Engines Via In-Cylinder Pressure Measurement,” IEEE Transactions on Control Systems Technology, vol. 22, No. 1, pp. 396-403, Jan. 2014. |
Galindo, “An On-Engine Method for Dynamic Characterisation of NOx Concentration Sensors,” Experimental Thermal and Fluid Science, vol. 35, pp. 470-476, 2011. |
Gamma Technologies, “Exhaust Aftertreatment with GT-Suite,” 2 pages, Jul. 17, 2014. |
GM “Advanced Diesel Technology and Emissions,” powertrain technologies—engines, 2 pages, prior to Feb. 2, 2005. |
Advanced Petroleum-Based Fuels-Diesel Emissions Control (APBF-DEC) Project, “Quarterly Update,” No. 7, 6 pages, Fall 2002. |
Guardiola et al., “A Bias Correction Method for Fast Fuel-to-Air Ratio Estimation in Diesel Engines,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 227, No. 8, pp. 1099-1111, 2013. |
Guardiola et al., “A Computationally Efficient Kalman Filter Based Estimator for Updating Look-Up Tables Applied to NOx Estimation in Diesel Engines,” Control Engineering Practice, vol. 21, pp. 1455-1468. |
Guerreiro et al., “Trajectory Tracking Nonlinear Model Predictive Control for Autonomous Surface Craft,” Proceedings of the European Control Conference, Budapest, Hungary, 6 pages, Aug. 2009. |
Guzzella et al., “Introduction to Modeling and Control of Internal Combustion Engine Systems,” 303 pages, 2004. |
Guzzella, et al., “Control of Diesel Engines,” IEEE Control Systems Magazine, pp. 53-71, Oct. 1998. |
Hahlin, “Single Cylinder ICE Exhaust Optimization,” Master's Thesis, retrieved from https://pure.Itu.se/portal/files/44015424/LTU-EX-2013-43970821.pdf, 50 pages, Feb. 1, 2014. |
Havelena, “Componentized Architecture for Advanced Process Management,” Honeywell International, 42 pages, 2004. |
Heywood, “Pollutant Formation and Control,” Internal Combustion Engine Fundamentals, pp. 567-667, 1988. |
Hiranuma, et al., “Development of DPF System for Commercial Vehicle—Basic Characteristic and Active Regeneration Performance,” SAE Paper No. 2003-1-3182, Mar. 2003. |
Hirsch et al., “Dynamic Engine Emission Models,” Automotive Model Predictive Control, Chapter 5, 18 pages, LNCIS 402, 2012. |
Hirsch et al., “Grey-Box Control Oriented Emissions Models,” The International Federation of Automatic Control (IFAC), Proceedings of the 17th World Congress, pp. 8514-8519, Jul. 6-11, 2008. |
Hockerdal, “EKF-based Adaptation of Look-Up Tables with an Air Mass-Flow Sensor Application,” Control Engineering Practice, vol. 19, 12 pages, 2011. |
Honeywell, “Profit Optimizer a Distributed Quadratic Program (DQP) Concepts Reference,” 48 pages, prior to Feb. 2, 2005. |
http://nexceris.com/news/nextech-materials/, “NEXTECH Materials is Now NEXCERIS,” 7 pages, printed Oct. 4, 2016. |
http://www.arb.ca.gov/msprog/obdprog/hdobdreg.htm, “Heavy-Duty OBD Regulations and Rulemaking,” 8 pages, printed Oct. 4, 2016. |
http://www.not2fast.wryday.com/turbo/glossary/turbo_glossary.shtml, “Not2Fast: Turbo Glossary,” 22 pages, printed Oct. 1, 2004. |
http://www.tai-cwv.com/sbl106.0.html, “Technical Overview-Advanced Control Solutions,” 6 pages, printed Sep. 9, 2004. |
http://www.dieselnet.com/standards/us/obd.php, “Emission Standards: USA: On-Board Diagnostics,” 6 pages, printed Oct. 3, 2016. |
Ishida et al., “An Analysis of the Added Water Effect on NO Formation in D.I. Diesel Engines,” SAE Technical Paper Series 941691, International Off-Highway and Power-Plant Congress and Exposition, 13 pages, Sep. 12-14, 1994. |
Ishida et al., “Prediction of NOx Reduction Rate Due to Port Water Injection in a DI Diesel Engine,” SAE Technical Paper Series 972961, International Fall Fuels and Lubricants Meeting and Exposition, 13 pages, Oct. 13-16, 1997. |
Jensen, “The 13 Monitors of an OBD System,” http://www.oemoffhighway.com/article/1 0855512/the-13-monito . . . , 3 pages, printed Oct. 3, 2016. |
Johansen et al., “Hardware Architecture Design for Explicit Model Predictive Control,” Proceedings of ACC, 6 pages, 2006. |
Johansen et al., “Hardware Synthesis of Explicit Model Predictive Controllers,” IEEE Transactions on Control Systems Technology, vol. 15, No. 1, Jan. 2007. |
Jonsson, “Fuel Optimized Predictive Following in Low Speed Conditions,” Master's Thesis, 46 pages, Jun. 28, 2003. |
Kelly, et al., “Reducing Soot Emissions from Diesel Engines Using One Atmosphere Uniform Glow Discharge Plasma,” SAE Paper No. 2003-1-1183, Mar. 2003. |
Keulen et al., “Predictive Cruise Control in Hybrid Electric Vehicles,” World Electric Journal, vol. 3, ISSN 2032-6653, 11 pages, May 2009. |
Khair et al., “Emission Formation in Diesel Engines,” Downloaded from https://www.dieselnet.com/tech/diesel_emiform.php, 33 pages, printed Oct. 14, 2016. |
Kihas et al., “Chapter 14, Diesel Engine SCR Systems: Modeling Measurements and Control,” Catalytic Reduction Technology (book), Part 1, Chapter 14, prior to Jan. 29, 2016. |
Kolmanovsky et al., “Issues in Modeling and Control of Intake Flow in Variable Geometry Turbocharged Engines”, 18th IFIP Conf. System Modeling and Optimization, pp. 436-145, Jul. 1997. |
Krause et al., “Effect of Inlet Air Humidity and Temperature on Diesel Exhaust Emissions,” SAE International Automotive Engineering Congress, 8 pages, Jan. 8-12, 1973. |
Kulhavy et al. “Emerging Technologies for Enterprise Optimization in the Process Industries,” Honeywell, 12 pages, Dec. 2000. |
Lavoie et al., “Experimental and Theoretical Study of Nitric Oxide Formation in Internal Combustion Engines,” Combustion Science and Technology, vol. 1, pp. 313-326, 1970. |
Locker, et al., “Diesel Particulate Filter Operational Characterization,” Coming Incorporated, 10 pages, prior to Feb. 2, 2005. |
Lu, “Challenging Control Problems and Engineering Technologies in Enterprise Optimization,” Honeywell Hi-Spec Solutions, 30 pages, Jun. 4-6, 2001. |
Van Keulen et al., “Predictive Cruise Control in Hybrid Electric Vehicles,” World Electric Vehicle Journal vol. 3, ISSN 2032-6653, pp. 1-11, 2009. |
VDO, “UniNOx-Sensor Specification,” Continental Trading GmbH, 2 pages, Aug. 2007. |
Vereschaga et al., “Piecewise Affine Modeling of NOx Emission Produced by a Diesel Engine,” 2013 European Control Conference (ECC), pp. 2000-2005, Jul. 17-19, 2013. |
Wahlstrom et al., “Modelling Diesel Engines with a Variable-Geometry Turbocharger and Exhaust Gas Recirculation by Optimization of Model Parameters for Capturing Non-Linear System Dynamics,” (Original Publication) Proceedings of the Institution of Mechanical Engineers, Part D, Journal of Automobile Engineering, vol. 225, No. 7, 28 pages, 2011. |
Wang et al., “Fast Model Predictive Control Using Online Optimization,” Proceedings of the 17th World Congress, the International Federation of Automatic Control, Seoul, Korea, pp. 6974-6979, Jul. 6-11, 2008. |
Wang et al., “PSO-Based Model Predictive Control for Nonlinear Processes,” Advances in Natural Computation, Lecture Notes in Computer Science, vol. 3611/2005, 8 pages, 2005. |
Wang et al., “Sensing Exhaust NO2 Emissions Using the Mixed Potential Principal,” SAE 2014-1-1487, 7 pages, Apr. 1, 2014. |
Wilhelmsson et al., “A Fast Physical NOx Model Implemented on an Embedded System,” Proceedings of the IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, pp. 207-215, Nov. 30-Dec. 2, 2009. |
Wilhemsson et al., “A Physical Two-Zone NOx Model Intended for Embedded Implementation,” SAE 2009-1-1509, 11 pages, 2009. |
Winkler et al., “Incorporating Physical Knowledge About the Formation of Nitric Oxides into Evolutionary System Identification,” Proceedings of the 20th European Modeling and Simulation Symposium (EMSS), 6 pages, 2008. |
Winkler et al., “On-Line Modeling Based on Genetic Programming,” 12 pages, International Journal on Intelligent Systems Technologies and Applications 2, 2007. |
Winkler et al., “Using Genetic Programming in Nonlinear Model Identification,” 99 pages, prior to Jan. 29, 2016. |
Winkler et al., “Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification,” LNCS, vol. 5717, 8 pages, 2009. |
Wong, “CARB Heavy-Duty OBD Update,” California Air Resources Board, SAE OBD TOPTEC, Downloaded from http://www.arb.ca.gov/msprog/obdprog/hdobdreg.htm, 72 pages, Sep. 15, 2005. |
Wright, “Applying New Optimization Algorithms to Model Predictive Control,” 5th International Conference on Chemical Process Control, 10 pages, 1997. |
Yao et al., “The Use of Tunnel Concentration Profile Data to Determine the Ratio of NO2/NOx Directly Emitted from Vehicles,” HAL Archives, 19 pages, 2005. |
Zavala et al., “The Advance-Step NMPC Controller: Optimality, Stability, and Robustness,” Automatica, vol. 45, pp. 86-93, 2009. |
Zeilinger et al., “Real-Time MPC—Stability Through Robust MPC Design,” Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, P.R. China, pp. 3980-3986, Dec. 16-18, 2009. |
Zeldovich, “The Oxidation of Nitrogen in Combustion and Explosions,” ACTA Physiochimica U.R.S.S., vol. XX1, No. 4, 53 pages, 1946. |
Zelenka, et al., “An Active Regeneration as a Key Element for Safe Particulate Trap Use,” SAE Paper No. 2001-0103199, 13 pages, Feb. 2001. |
Zhu, “Constrained Nonlinear Model Predictive Control for Vehicle Regulation,” Dissertation, Graduate School of the Ohio State University, 125 pages, 2008. |
Zhuiykov et al., “Development of Zirconia-Based Potentiometric NOx Sensors for Automotive and Energy Industries in the Early 21st Century: What Are the Prospects for Sensors?”, Sensors and Actuators B, vol. 121, pp. 639-651, 2007. |
Desantes et al., “Development of NOx Fast Estimate Using NOx Sensor,” EAEC 2011 Congress, 2011. |
Andersson et al., “Fast Physical NOx Prediction in Diesel Engines, The Diesel Engine: The Low CO2 and Emissions Reduction Challenge,” Conference Proceedings, Lyon, 2006. |
Winkler, “Evolutionary System Identification—Modem Approaches and Practical Applications,” Kepler Universitat Linz, Reihe C: Technik und Naturwissenschaften, Universitatsverlag Rudolf Trauner, 2009. |
Smith, “Demonstration of a Fast Response On-Board NOx Sensor for Heavy-Duty Diesel Vehicles,” Technical report, Southwest Research Institute Engine and Vehicle Research Division SwRI Project No. 03-02256 Contract No. 98-302, 2000. |
Maciejowski, “Predictive Control with Constraints,” Prentice Hall, Pearson Education Limited, 4 pages, 2002. |
Manchur et al., “Time Resolution Effects on Accuracy of Real-Time NOx Emissions Measurements,” SAE Technical Paper Series 2005-1-0674, 2005 SAE World Congress, 19 pages, Apr. 11-14, 2005. |
Mariethoz et al., “Sensorless Explicit Model Predictive Control of the DC-DC Buck Converter with Inductor Current Limitation,” IEEE Applied Power Electronics Conference and Exposition, pp. 1710-1715, 2008. |
Marjanovic, “Towards a Simplified Infinite Horizon Model Predictive Controller,” 6 pages, Proceedings of the 5th Asian Control Conference, 6 pages, Jul. 20-23, 2004. |
Mehta, “The Application of Model Predictive Control to Active Automotive Suspensions,” 56 pages, May 17, 1996. |
Mohammadpour et al., “a Survey on Diagnostics Methods for Automotive Engines,” 2011 American Control Conference, pp. 985-990, Jun. 29-Jul. 1, 2011. |
Moore, “Living with Cooled-EGR Engines,” Prevention Illustrated, 3 pages, Oct. 3, 2004. |
Moos, “Catalysts as Sensors—A Promising Novel Approach in Automotive Exhaust Gas Aftertreatment,” http://www.mdpi.com/1424-8220/10/7/6773htm, 10 pages, Jul. 13, 2010. |
Murayama et al., “Speed Control of Vehicles with Variable Valve Lift Engine by Nonlinear MPC,” ICROS-SICE International Joint Conference, pp. 4128-4133, 2009. |
National Renewable Energy Laboratory (NREL), “Diesel Emissions Control-Sulfur Effects Project (DECSE) Summary of Reports,” U.S. Department of Energy, 19 pages, Feb. 2002. |
Olsen, “Analysis and Simulation of the Rate of Heat Release (ROHR) in Diesel Engines,” MSc-Assignment, 105 pages, Jun. 2013. |
Ortner et al., “MPC for a Diesel Engine Air Path Using an Explicit Approach for Constraint Systems,” Proceedings of the 2006 IEEE Conference on Control Applications, Munich Germany, pp. 2760-2765, Oct. 4-6, 2006. |
Ortner et al., “Predictive Control of a Diesel Engine Air Path,” IEEE Transactions on Control Systems Technology, vol. 15, No. 3, pp. 449-456, May 2007. |
Pannocchia et al., “Combined Design of Disturbance Model and Observer for Offset-Free Model Predictive Control,” IEEE Transactions on Automatic Control, vol. 52, No. 6, 6 pages, 2007. |
Patrinos et al., “A Global Piecewise Smooth Newton Method for Fast Large-Scale Model Predictive Control,” Tech Report TR2010-02, National Technical University of Athens, 23 pages, 2010. |
Payri et al., “Diesel NOx Modeling with a Reduction Mechanism for the Initial NOx Coming from EGR or Re-Entrained Burned Gases,” 2008 World Congress, SAE Technical Paper Series 2008-1-1188, 13 pages, Apr. 14-17, 2008. |
Payri et al., “Methodology for Design and Calibration of a Drift Compensation Method for Fuel-to-Air Ratio,” SAE International 2012-1-0717, 13 pages, Apr. 16, 2012. |
Pipho et al., “NO2 Formation in a Diesel Engine,” SAE Technical Paper Series 910231, International Congress and Exposition, 15 pages, Feb. 25-Mar. 1, 1991. |
Qin et al., “A Survey of Industrial Model Predictive Control Technology,” Control Engineering Practice, 11, pp. 733-764, 2003. |
Querel et al., “Control of an SCR System Using a Virtual NOx Sensor,” 7th IFAC Symposium on Advances in Automotive Control, The International Federation of Automotive Control, pp. 9-14, Sep. 4-7, 2013. |
Rajamani, “Data-based Techniques to Improve State Estimation in Model Predictive Control,” Ph.D. Dissertation, 257 pages, 2007. |
Rawlings, “Tutorial Overview of Model Predictive Control,” IEEE Control Systems Magazine, pp. 38-52, Jun. 2000. |
Ricardo Software, “Powertrain Design at Your Fingertips,” retrieved from http://www.ricardo.com/PageFiles/864/WaveFlyerA4_4PP.pdf, 2 pages, downloaded Jul. 27, 2015. |
Salval, et al., “Passenger Car Serial Application of a Particulate Filter System on a Common Rail Direct Injection Engine,” SAE Paper No. 2000-01-0473, 14 pages, Feb. 2000. |
Santin et al., “Combined Gradient/Newton Projection Semi-Explicit QP Solver for Problems with Bound Constraints,” 2 pages, prior to Jan. 29, 2016. |
Schauffele et al., “Automotive Software Engineering Principles, Processes, Methods, and Tools,” SAE International, 10 pages, 2005. |
Schilling et al., “A Real-Time Model for the Prediction of the NOx Emissions in DI Diesel Engines,” Proceedings of the 2006 IEEE International Conference on Control Applications, pp. 2042-2047, Oct. 4-7, 2006. |
Schilling “Model-Based Detection and Isolation of Faults in the Air and Fuel Paths of Common-Rail DI Diesel Engines Equipped with a Lambda and a Nitrogen Oxides Sensor,” Doctor of Sciences Dissertation, 210 pages, 2008. |
Shahzad et al., “Preconditioners for Inexact Interior Point Methods for Predictive Control,” 2010 American Control Conference, pp. 5714-5719, Jun. 30-Jul. 2010. |
Shamma, et al. “Approximate Set-Valued Observers for Nonlinear Systems,” IEEE Transactions on Automatic Control, vol. 42, No. 5, May 1997. |
Signer et al., “European Programme on Emissions, Fuels and Engine Technologies (EPEFE)—Heavy Duty Diesel-Study,” International Spring Fuels and Lubricants Meeting, SAE 961074, May 6-8, 1996. |
Soltis, “Current Status of NOx Sensor Development,” Workshop on Sensor Needs and Requirements for PEM Fuel Cell Systems and Direct-Injection Engines, 9 pages, Jan. 25-26, 2000. |
Stefanopoulou, et al., “Control of Variable Geometry Turbocharged Diesel Engines for Reduced Emissions,” IEEE Transactions on Control Systems Technology, vol. 8, No. 4, pp. 733-745, Jul. 2000. |
Stewart et al., “A Model Predictive Control Framework for Industrial Turbodiesel Engine Control,” Proceedings of the 47th IEEE Conference on Decision and Control, 8 pages, 2008. |
Stewart et al., “A Modular Model Predictive Controller for Turbodiesel Problems,” First Workshop on Automotive Model Predictive Control, Schloss Muhldorf, Feldkirchen, Johannes Kepler University, Linz, 3 pages, 2009. |
Storset et al., “Air Charge Estimation for Turbocharged Diesel Engines,” vol. 1 Proceedings of the American Control Conference, 8 pages, Jun. 28-30, 2000. |
Stradling et al., “The Influene of Fuel Properties and Injection Timing on the Exhaust Emissions and Fuel Consumption of an Iveco Heavy-Duty Diesel Engine,” International Spring Fuels and Lubricants Meeting, SAE 971635, May 5-8, 1997. |
Takacs et al., “Newton-Raphson Based Efficient Model Predictive Control Applied on Active Vibrating Structures,” Proceeding of the European Control Conference 2009, Budapest, Hungary, pp. 2845-2850, Aug. 23-26, 2009. |
The MathWorks, “Model-Based Calibration Toolbox 2.1 Calibrate complex powertrain systems,” 4 pages, prior to Feb. 2, 2005. |
The MathWorks, “Model-Based Calibration Toolbox 2.1.2,” 2 pages, prior to Feb. 2, 2005. |
Theiss, “Advanced Reciprocating Engine System (ARES) Activities at the Oak Ridge National Lab (ORNL), Oak Ridge National Laboratory,” U.S. Department of Energy, 13 pages, Apr. 14, 2004. |
Tondel et al., “An Algorithm for Multi-Parametric Quadratic Programming and Explicit MPC Solutions,” Automatica, 39, pp. 489-497, 2003. |
Traver et al., “A Neural Network-Based Virtual NOx Sensor for Diesel Engines,” 7 pages, prior to Jan. 29, 2016. |
Tschanz et al., “Cascaded Multivariable Control of the Combustion in Diesel Engines,” The International Federation of Automatic Control (IFAC), 2012 Workshop on Engine and Powertrain Control, Simulation and Modeling, pp. 25-32, Oct. 23-25, 2012. |
Tschanz et al., “Control of Diesel Engines Using NOx-Emission Feedback,” International Journal of Engine Research, vol. 14, No. 1, pp. 45-56, 2013. |
Tschanz et al., “Feedback Control of Particulate Matter and Nitrogen Oxide Emissions in Diesel Engines,” Control Engineenng Practice, vol. 21, pp. 1809-1820, 2013. |
Turner, “Automotive Sensors, Sensor Technology Series,” Momentum Press, Unable to Obtain the Entire Book, a Copy of the Front and Back Covers and Table of Contents are Provided, 2009. |
Van Basshuysen et al., “Lexikon Motorentectinit,” (Dictionary of Automotive Technology) published by Vieweg Verlag, Wiesbaden 039936, p. 518, 2004. (English Translation). |
Van Den Boom et al., “MPC for Max-Plus-Linear Systems: Closed-Loop Behavior and Tuning,” Proceedings of the 2001 American Control Conference, Arlington, VA, pp. 325-330, Jun. 2001. |
Van Heiden et al., “Optimization of Urea SCR deNOx Systems for HD Diesel Engines,” SAE International 2004-01-0154, 13 pages, 2004. |
Number | Date | Country | |
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20170305368 A1 | Oct 2017 | US |