Not Applicable
The present invention relates to vehicle diagnostic systems and methods, and, more particularly, to devices and methods for adaptively accessing vehicle diagnostic information in a manner to avoid engine specific anomalies.
Since the 1980's, major automobile manufacturers have installed electronic control units (ECU) in vehicles being produced. ECU's generally function to monitor various vehicle conditions and recognize malfunctions or trouble conditions, which may be recorded in the vehicle ECU. Technicians servicing the vehicles have used scan tools, or other equipment that enables them to access the ECU to download vehicle diagnostic trouble codes (DTC's) that would identify the malfunctions or trouble conditions detected by and stored in the ECU.
Since the 1980's, the sophistication of the vehicle ECU's, scan tools and other equipment used to access information in the ECU's has become more sophisticated. The vehicle information accessible by or through the ECU has expanded to include a variety of different types of information, e.g., live information and/or stored information from various vehicle components. Moreover, the processing capability of the ECU, as well as the scan tool, have expanded to allow the technician to more specifically identify vehicle defects by accessing and comparing information received from the vehicle, using sophisticated databases that may be stored or distributed within the ECU, the scan tool, and remote locations, e.g., websites accessible by the scan tool itself, or in association with a digital computing device, such as a computer or cellphone.
In order to facilitate the use of common equipment and communication techniques for accessing information on different vehicles, vehicle original equipment manufacturers (OEMs) utilize one of approximately five different signal protocols for communicating information and commands to or from the ECU. Contemporary scan tools and similar devices commonly connect to the ECU through a vehicle diagnostic port, and operate to poll the ECU, by sequencing through each of the different protocols until the ECU response to one of the protocols. The scan tool will then communicate with the ECU in the identified protocol to request information from the ECU and other vehicle systems.
While the above described ECU interface system generally works well and is a reliable way to access information from the vehicle ECU, anomalies occasionally arise in relation to particular engines. For example, it has been found that certain FordĀ® vehicles equipped with 7.3 L diesel engines will stall if certain diagnostic information is requested from the vehicle ECU while the vehicle is running, e.g. engines and related electronic controls for the engine are understood to have been produced by Navistar International (engine code T444D) during 1994-2003. This can create a safety condition, particular as that vehicle may be used to tow excessive loads. Since the functionality of hydraulic power assisted braking (Hydro Boost) systems and steering systems are generally dependent upon the engine being operational, a sudden engine stall can be problematical. While OEMs generally take steps to ensure that power and fluid remains available in the event of such a stall, the stored power and fluid under pressure may be very limited, e.g., to power assisted brake applications, which may be insufficient to avoid a dangerous and potentially fatal condition.
The present invention is directed to an apparatus and technique for modifying the manner in which a scan tool, or other diagnostic device, communicates with a vehicle ECU to determine if the vehicle under test is subject to causing an operational anomaly in response to a standard information requests to the vehicle ECU. If so, the present invention functions to modify the information requests in such a manner to be able to avoid the anomaly, i.e., by omitting or modifying the information request that has been found to trigger the anomaly.
A system and method are provided for adaptively accessing information in a vehicle under test, in a manner to avoid malfunctions associated with accessing the information. A data acquisition device is provided for accessing and retrieving diagnostic data from the vehicle. A memory unit is provided including listing of malfunctioning vehicles, as well as information associated with each of the listed vehicles. At least one service mode request is communicated from the data acquisition device to the vehicle to identify characteristic features of the vehicle, which information is compared to stored vehicle characteristic information, to determine if the vehicle conforms to any of the listed vehicles, subject to malfunction. If not, additional service requests are communicated to the vehicle.
More specifically, the system comprises a data acquisition device including a first datalink communicable with the vehicle ECU, for accessing and retrieving diagnostic data from the vehicle under test. The data acquisition device may further include a processor unit, in communication with the first datalink, the processor unit including a data linking module operative to generate linking queries to the ECU, in a plurality of protocols, to identify the information request protocol used by the vehicle under test.
A memory unit is provided in communication with the processor. The memory unit may include: 1) a listing of vehicles known to malfunction in response to receipt of a service mode request; 2) a listing of selective characteristic features information associated with each listed vehicle; 3) an information request protocol associated with each listed vehicle; and 4) a listing of the specific service mode request(s) associated with a malfunction of each listed vehicle. The memory unit is addressable by the processor unit to identify listed vehicles (i.e., vehicles subject to malfunction) that are associated with the vehicle under test information request protocol.
The data acquisition device may further include data retrieval module operative to selectively communicate at least one service request to the ECU, in the vehicle under test information request protocol, excluding each service mode request(s), or portion thereof, that is associated with an identified vehicle.
The data acquisition device may further include a data extraction module operative to receive information from the ECU, in response to the at least one service request, and extract therefrom vehicle characteristic features information, identifying characteristic features of the vehicle under test.
The data acquisition device may further include a comparison module operative to compare the extracted characteristic features information to the selective characteristic features information associated with each of the identified listed vehicles, to determine if the vehicle under test and any of the identified listed vehicles have common characteristic features. If the vehicle under test has no characteristic features in common with any of the identified listed vehicles, the data retrieval unit may be further operative to communicate the previously excluded service mode request(s) to the vehicle under test.
If the vehicle under test and at least one of the identified vehicles have one or more common characteristic features, the data retrieval unit may be operative to communicate additional service mode request to the vehicle under test, excluding any service mode request(s), or portions thereof, associated with at least one of the listed vehicles.
Where the vehicle under test and a plurality of the identified listed vehicles have one or more common characteristic features, the comparison module may be further operative to determine which of the plurality of identified listed vehicles is the closest to the vehicle under test, e.g., which of the identified listed vehicles has the greatest number of characteristic features in common with the vehicle under test. The data retrieval unit is further operative to communicate additional service mode request to the vehicle under test, excluding any service mode request(s), or portion thereof, that is associated with the identified listed vehicle having the greatest number of characteristic features in common with the vehicle under test.
In one embodiment, the first datalink is directly connectable to a data port of a vehicle under test. In another embodiment the first datalink may be wirelessly communicable with the ECU of the vehicle under test.
In one embodiment, the handheld data acquisition device may be implemented as a scan tool. In other embodiments the data acquisition device may be implemented as a smartphone, computer tablet, dongle, or other programmable device that is wirelessly communicable with the ECU.
In one embodiment the memory unit may be disposed within the handheld data acquisition device. In another embodiment, the memory unit may be disposed remote from the handheld data acquisition device, and accessible by the data acquisition device via a second datalink connectable to a global computer network, for transferring information between the data acquisition device and the remote memory unit. The data acquisition device may include the second datalink connectable to the global computer network for transferring information received in response to the service mode requests to a location remote from the device. The step of receiving information from the ECU, in response to the at least one service mode request, and extracting therefrom vehicle characteristic features information identifying characteristic features of the vehicle under test may be implemented in a device located remote from the data acquisition device. The step of comparing the extracted characteristic features information to the selective characteristic features information associated with each of the identified listed vehicles to determine if the vehicle under test and any of the identified listed vehicles have common characteristics features may be implemented in a device located remote from the data acquisition device.
In one embodiment the present invention is implemented in a manner specific to obtaining information from an ECU of a diesel engine vehicle, wherein the diesel engine vehicle is associated with a malfunction arising in response to receipt of a particular service mode request and/or service mode request portion, while the diesel engine is running. Where the vehicle under test is a diesel engine vehicle, and the engine is currently running, service mode requests, or portions thereof, associated with the malfunction in diesel engine vehicles are not communicated to the vehicle under test.
These and other features and advantages of the various embodiments disclosed herein will be better understood with respect to the following description and drawings, in which like numbers refer to like parts throughout, and in which:
The following description is given by way of example, and not limitation. Given the following disclosure, one skilled in the art could devise variations that are within the scope and spirit of the invention disclosed herein, including various alternate ways of retrieving, processing and operating on vehicle diagnostic information, in accordance with the present invention. Further, the various modules and features of the embodiments disclosed herein can be used alone, or in varying combinations with each other and are not intended to be limited to the specific combination described herein. Thus, the scope of the claims is not to be limited by the illustrated embodiments.
The data acquisition device 11 may further include a second datalink 23, that is communicable with the remote location 19 via a global computer network or by another communications link.
The data acquisition device 11 may be implemented as a scan tool arranged in programs to implement the present invention, as described more fully below. Alternatively, the data acquisition device 11 may be implemented as a smartphone, tablet computer, dongle, or other computing device operative to implement the functions of the present invention, as described more fully below.
In general, the data acquisition device functions in a manner similar to a conventional scan tool, in relation to the basic functionality of the present invention. However, the present invention departs from conventional scan tool operations in the manner in which the data acquisition device selectively retrieves and processes data in the manner to avoid vehicle malfunctions that may arise during implementation of the conventional vehicle monitoring process in certain vehicles. In essence, the present invention modifies the conventional vehicle diagnostic system and methodology to adapt to anomalous operating conditions in certain vehicles. As described in more detail below, the present invention retrieves certain limited data from the vehicle ECU, to allow the data acquisition device 11 to determine the operating characteristics of the vehicle 13, and evaluate whether or not the vehicle is subject to such anomalous conditions. If so, the present invention proceeds with the vehicle diagnostic process in a manner that avoids triggering malfunctions known to be present in the vehicle.
It is to be understood that numerous modules of the data acquisition device, including but not limited to the data retrieval module 29, the data extraction module 31, and the data comparison module 33 may be implemented in software programming, operated on by microprocessor 25. However, the modules are illustrated separately in order to more clearly differentiate the functionality of the modules.
Referring to
Memory unit 27 is also in communication with the processor 25. The memory unit includes information stored therein including: 1) a listing of vehicles known to malfunction in response to receipt of a service mode request for diagnostic information from the vehicle; 2) a listing of selective characteristic features information associated with each listed vehicle; 3) an information request protocol associated with each listed vehicle; and 4) a listing of specific service mode request(s) associated with a malfunction of each listed vehicle. The memory unit 27 is addressable by processor 25 to identify listed vehicles that are associated with the vehicle under test information request protocol.
The data acquisition device may further include a data retrieval module 29, operative to selectively communicate at least one service mode request to the ECU, in the vehicle under test information request protocol, excluding each service mode request(s) that is associated with an identified listed vehicle.
The data acquisition device 11 may further include a data extraction module 31 operative to receive information from the ECU, in response to the at least one service mode request, and to extract therefrom vehicle characteristic features information, identifying characteristic features of the vehicle under test.
The data acquisition module may further include a data comparison module 33, operative to compare the extracted characteristic features information to the selective characteristic features information associated with each of the identified listed vehicles, to determine if the vehicle under test and any of the identified listed vehicles have common characteristic features. Where the vehicle under test and the identified listed vehicles have no common characteristic features, the data retrieval unit 29 is further operative to communicate any previously excluded service mode requests and the request(s) to the vehicle under test. As shown in
Where the vehicle under test and at least one of the identified listed vehicles have one or more common characteristic features, the data retrieval unit is further operative to communicate additional service mode request(s) to the vehicle under test, excluding any service mode request, or portion thereof, that is associated with at least one of the identified listed vehicles.
Where the vehicle under test and a plurality of the identified listed vehicles have one or more common characteristic features, the data comparison module 33 is further operative to determine which of the plurality of identified listed vehicles most closely conforms to the vehicle under test, e.g., which of the identified vehicles has the greatest number of characteristic features in common with the vehicle under test. The data retrieval module is then further operative to communicate additional service mode requests to the vehicle under test, excluding service mode requests associated with the closest identified listed vehicle, e.g., the identified listed vehicle having the greatest number of characteristic features in common with the vehicle under test.
As noted above, the memory unit 27 may be disposed within the data acquisition device 11, or located at remote locations 19, which may be addressable via a global communication network.
As noted above, the present invention may be implemented in a broadly adaptive manner, as described above, or may be implemented in a more specifically adapted manner, to address specific malfunctions, such as malfunctions associated with accessing information from a diesel engine, while the engine is running. As noted above, potential safety issues may arise where certain diesel engine vehicles receive a service mode nine request, which requests a vehicle identification number (VIN) and other information from the powertrain control module (PCM) while the engine is running. This may cause the functioning engine to stall. The 7.3 L engine was available on three-quarter ton and larger trucks and vans during model year 1994 to 2003. As explained further below, the present invention modifies the sequence and/or substances of service mode requests to the ECU where if the information received from the ECU indicates that the vehicle is a diesel engine that is running. The scan tool or similar equipment will omit a service call for service mode nine from the sequence of service modes that service mode calls communicated to the ECU. Accordingly, as described above, the data acquisition device is adaptive to be able to recognize vehicles subject to anomalous conditions, arising thereof, as a result of service mode calls to the ECU, and to adapt the service mode calls, and the sequence to avoid triggering such anomalies.
Information is stored in a memory unit listing service mode requests, and/or portions thereof associated with malfunction in at least one diesel engine vehicle.
At least one service mode request is communicated to the ECU, in the vehicle under test information request protocol, excluding each service mode request, or portion thereof, associated with a malfunction in the diesel engine vehicle. In response to the at least one service mode request, information is received from the ECU, and vehicle characteristic information is extracted therefrom, indicating if the vehicle under test is a diesel engine vehicle, and if the engine is currently running. If the vehicle is a diesel engine vehicle, and is currently running, additional service mode requests, or portions thereof, may be communicated to the vehicle ECU, excluding any service mode request, or portion thereof, that is associated with a malfunction in the diesel engine vehicle.
This application is a continuation of U.S. patent application Ser. No. 15/404,976, filed Jan. 12, 2017, the contents of which are expressly incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
D334560 | Wilson | Apr 1993 | S |
5347211 | Jakubowski | Sep 1994 | A |
5635841 | Taylor | Jun 1997 | A |
5758300 | Abe | May 1998 | A |
5767681 | Huang | Jun 1998 | A |
5809437 | Breed | Sep 1998 | A |
5859628 | Ross et al. | Jan 1999 | A |
5884202 | Arjomand | Mar 1999 | A |
6000413 | Chen | Dec 1999 | A |
6055468 | Kaman et al. | Apr 2000 | A |
6225898 | Kamiya et al. | May 2001 | B1 |
6263268 | Nathanson | Jul 2001 | B1 |
6389337 | Kolls | May 2002 | B1 |
6438471 | Katagishi et al. | Aug 2002 | B1 |
6499385 | Protti | Dec 2002 | B2 |
6535112 | Rothschink | Mar 2003 | B1 |
6587768 | Chene et al. | Jul 2003 | B2 |
6611740 | Lowrey et al. | Aug 2003 | B2 |
6650318 | Arnon | Nov 2003 | B1 |
6718425 | Pajakowski et al. | Apr 2004 | B1 |
6732031 | Lightner et al. | May 2004 | B1 |
6807469 | Funkhouser et al. | Oct 2004 | B2 |
6847916 | Ying | Jan 2005 | B1 |
6868369 | Huang et al. | Mar 2005 | B2 |
6940270 | Chen | Sep 2005 | B2 |
D510287 | Chen et al. | Oct 2005 | S |
6957133 | Hunt et al. | Oct 2005 | B1 |
6968733 | Andreasen et al. | Nov 2005 | B2 |
7030742 | Treadway | Apr 2006 | B2 |
7085680 | Huang | Aug 2006 | B2 |
7116216 | Andreasen et al. | Oct 2006 | B2 |
7209813 | Namaky | Apr 2007 | B2 |
D545223 | Chen | Jun 2007 | S |
D559137 | Protti | Jan 2008 | S |
D560129 | Rich et al. | Jan 2008 | S |
D560527 | Rich et al. | Jan 2008 | S |
7325775 | Chen | Feb 2008 | B2 |
D563249 | Chen | Mar 2008 | S |
7363149 | Klausner et al. | Apr 2008 | B2 |
D569280 | Chen | May 2008 | S |
7376497 | Chen | May 2008 | B2 |
D571241 | Andreasen et al. | Jun 2008 | S |
7437227 | Andreasen et al. | Oct 2008 | B2 |
D581822 | Madison et al. | Dec 2008 | S |
7464000 | Huang | Dec 2008 | B2 |
D588621 | Baty | Mar 2009 | S |
D590387 | Chen | Apr 2009 | S |
7520668 | Chen | Apr 2009 | B2 |
7603293 | Chenn | Oct 2009 | B2 |
7620484 | Chen | Nov 2009 | B1 |
D610586 | Chen | Feb 2010 | S |
7778750 | Knight et al. | Aug 2010 | B2 |
D624446 | Chen et al. | Sep 2010 | S |
D624838 | Chen et al. | Oct 2010 | S |
D625209 | Chen et al. | Oct 2010 | S |
D625210 | Chen et al. | Oct 2010 | S |
D625634 | Chen et al. | Oct 2010 | S |
7904219 | Lowrey et al. | Mar 2011 | B1 |
8019503 | Andreasen et al. | Sep 2011 | B2 |
8024083 | Chenn | Sep 2011 | B2 |
D646188 | Chen et al. | Oct 2011 | S |
D646599 | Chen et al. | Oct 2011 | S |
8068951 | Chen et al. | Nov 2011 | B2 |
8301329 | Andreasen et al. | Oct 2012 | B2 |
8306687 | Chen | Nov 2012 | B2 |
8370018 | Andreasen et al. | Feb 2013 | B2 |
8509986 | Chen | Aug 2013 | B1 |
8600610 | Bertosa et al. | Dec 2013 | B2 |
8630765 | Chen | Jan 2014 | B2 |
8811008 | Selkirk et al. | Aug 2014 | B2 |
8825270 | Chen | Sep 2014 | B2 |
8825271 | Chen | Sep 2014 | B2 |
8855621 | Chen | Oct 2014 | B2 |
8862117 | Chen | Oct 2014 | B2 |
8909416 | Chen et al. | Dec 2014 | B2 |
9002554 | Chen | Apr 2015 | B2 |
9014908 | Chen et al. | Apr 2015 | B2 |
9026400 | Chen et al. | May 2015 | B2 |
9117319 | Chen | Aug 2015 | B2 |
9123051 | Chen | Sep 2015 | B2 |
9141503 | Chen | Sep 2015 | B1 |
9142066 | Chen et al. | Sep 2015 | B2 |
9177428 | Nguyen et al. | Nov 2015 | B2 |
9183681 | Fish | Nov 2015 | B2 |
D745029 | Gray et al. | Dec 2015 | S |
D746316 | Gray et al. | Dec 2015 | S |
D746323 | Gray et al. | Dec 2015 | S |
9213332 | Fish et al. | Dec 2015 | B2 |
D747734 | Gray et al. | Jan 2016 | S |
D749623 | Gray et al. | Feb 2016 | S |
9262254 | Bertosa et al. | Feb 2016 | B2 |
9292977 | Bertosa et al. | Mar 2016 | B2 |
9324194 | Pham | Apr 2016 | B2 |
D757059 | Gray et al. | May 2016 | S |
9329633 | Selkirk et al. | May 2016 | B2 |
9342934 | Chen | May 2016 | B2 |
D770462 | Gray et al. | Nov 2016 | S |
9494125 | Pham et al. | Nov 2016 | B2 |
9633492 | Panko | Apr 2017 | B2 |
9858731 | Fish et al. | Jan 2018 | B2 |
9904634 | Case, Jr. et al. | Feb 2018 | B2 |
10295333 | Fish et al. | May 2019 | B2 |
10467906 | Fish et al. | Nov 2019 | B2 |
20030171111 | Clark | Sep 2003 | A1 |
20040110472 | Witkowski et al. | Jun 2004 | A1 |
20060149434 | Bertosa | Jul 2006 | A1 |
20100205450 | Sarnacke | Aug 2010 | A1 |
20140046800 | Chen | Feb 2014 | A1 |
20140365064 | Pham | Dec 2014 | A1 |
20160027223 | Madison et al. | Jan 2016 | A1 |
20160104328 | Chen et al. | Apr 2016 | A1 |
20160188195 | Chen | Jun 2016 | A1 |
20170186054 | Fish et al. | Jun 2017 | A1 |
20180101775 | Fish | Apr 2018 | A1 |
Number | Date | Country |
---|---|---|
WO2001086576 | Nov 2001 | WO |
Number | Date | Country | |
---|---|---|---|
20190035180 A1 | Jan 2019 | US |
Number | Date | Country | |
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Parent | 15404976 | Jan 2017 | US |
Child | 16146577 | US |