Battery tester for electric vehicle

Information

  • Patent Grant
  • 8306690
  • Patent Number
    8,306,690
  • Date Filed
    Thursday, July 17, 2008
    17 years ago
  • Date Issued
    Tuesday, November 6, 2012
    13 years ago
Abstract
Testing or diagnostics are performed on an electric vehicle. The vehicle is operated and current flow through a system of the vehicle is monitored. A voltage related to the system is also monitored. Diagnostics are provided based upon the monitored voltage and the monitored current.
Description
BACKGROUND OF THE INVENTION

The present invention relates to test equipment for electric vehicles. More specifically, the present invention relates to a tester for testing electrical systems of an electric vehicle.


Various battery testing techniques and related technologies have been pioneered by Midtronics Inc. and Dr. Keith S. Champlin, including for example: U.S. Pat. No. 3,873,911, issued Mar. 25, 1975, to Champlin; U.S. Pat. No. 3,909,708, issued Sep. 30, 1975, to Champlin; U.S. Pat. No. 4,816,768, issued Mar. 28, 1989, to Champlin; U.S. Pat. No. 4,825,170, issued Apr. 25, 1989, to Champlin; U.S. Pat. No. 4,881,038, issued Nov. 14, 1989, to Champlin; U.S. Pat. No. 4,912,416, issued Mar. 27, 1990, to Champlin; U.S. Pat. No. 5,140,269, issued Aug. 18, 1992, to Champlin; U.S. Pat. No. 5,343,380, issued Aug. 30, 1994; U.S. Pat. No. 5,572,136, issued Nov. 5, 1996; U.S. Pat. No. 5,574,355, issued Nov. 12, 1996; U.S. Pat. No. 5,583,416, issued Dec. 10, 1996; U.S. Pat. No. 5,585,728, issued Dec. 17, 1996; U.S. Pat. No. 5,589,757, issued Dec. 31, 1996; U.S. Pat. No. 5,592,093, issued Jan. 7, 1997; U.S. Pat. No. 5,598,098, issued Jan. 28, 1997; U.S. Pat. No. 5,656,920, issued Aug. 12, 1997; U.S. Pat. No. 5,757,192, issued May 26, 1998; U.S. Pat. No. 5,821,756, issued Oct. 13, 1998; U.S. Pat. No. 5,831,435, issued Nov. 3, 1998; U.S. Pat. No. 5,871,858, issued Feb. 16, 1999; U.S. Pat. No. 5,914,605, issued Jun. 22, 1999; U.S. Pat. No. 5,945,829, issued Aug. 31, 1999; U.S. Pat. No. 6,002,238, issued Dec. 14, 1999; U.S. Pat. No. 6,037,751, issued Mar. 14, 2000; U.S. Pat. No. 6,037,777, issued Mar. 14, 2000; U.S. Pat. No. 6,051,976, issued Apr. 18, 2000; U.S. Pat. No. 6,081,098, issued Jun. 27, 2000; U.S. Pat. No. 6,091,245, issued Jul. 18, 2000; U.S. Pat. No. 6,104,167, issued Aug. 15, 2000; U.S. Pat. No. 6,137,269, issued Oct. 24, 2000; U.S. Pat. No. 6,163,156, issued Dec. 19, 2000; U.S. Pat. No. 6,172,483, issued Jan. 9, 2001; U.S. Pat. No. 6,172,505, issued Jan. 9, 2001; U.S. Pat. No. 6,222,369, issued Apr. 24, 2001; U.S. Pat. No. 6,225,808, issued May 1, 2001; U.S. Pat. No. 6,249,124, issued Jun. 19, 2001; U.S. Pat. No. 6,259,254, issued Jul. 10, 2001; U.S. Pat. No. 6,262,563, issued Jul. 17, 2001; U.S. Pat. No. 6,294,896, issued Sep. 25, 2001; U.S. Pat. No. 6,294,897, issued Sep. 25, 2001; U.S. Pat. No. 6,304,087, issued Oct. 16, 2001; U.S. Pat. No. 6,310,481, issued Oct. 30, 2001; U.S. Pat. No. 6,313,607, issued Nov. 6, 2001; U.S. Pat. No. 6,313,608, issued Nov. 6, 2001; U.S. Pat. No. 6,316,914, issued Nov. 13, 2001; U.S. Pat. No. 6,323,650, issued Nov. 27, 2001; U.S. Pat. No. 6,329,793, issued Dec. 11, 2001; U.S. Pat. No. 6,331,762, issued Dec. 18, 2001; U.S. Pat. No. 6,332,113, issued Dec. 18, 2001; U.S. Pat. No. 6,351,102, issued Feb. 26, 2002; U.S. Pat. No. 6,359,441, issued Mar. 19, 2002; U.S. Pat. No. 6,363,303, issued Mar. 26, 2002; U.S. Pat. No. 6,377,031, issued Apr. 23, 2002; U.S. Pat. No. 6,392,414, issued May 21, 2002; U.S. Pat. No. 6,417,669, issued Jul. 9, 2002; U.S. Pat. No. 6,424,158, issued Jul. 23, 2002; U.S. Pat. No. 6,441,585, issued Aug. 17, 2002; U.S. Pat. No. 6,437,957, issued Aug. 20, 2002; U.S. Pat. No. 6,445,158, issued Sep. 3, 2002; U.S. Pat. No. 6,456,045; U.S. Pat. No. 6,466,025, issued Oct. 15, 2002; U.S. Pat. No. 6,465,908, issued Oct. 15, 2002; U.S. Pat. No. 6,466,026, issued Oct. 15, 2002; U.S. Pat. No. 6,469,511, issued Nov. 22, 2002; U.S. Pat. No. 6,495,990, issued Dec. 17, 2002; U.S. Pat. No. 6,497,209, issued Dec. 24, 2002; U.S. Pat. No. 6,507,196, issued Jan. 14, 2003; U.S. Pat. No. 6,534,993; issued Mar. 18, 2003; U.S. Pat. No. 6,544,078, issued Apr. 8, 2003; U.S. Pat. No. 6,556,019, issued Apr. 29, 2003; U.S. Pat. No. 6,566,883, issued May 20, 2003; U.S. Pat. No. 6,586,941, issued Jul. 1, 2003; U.S. Pat. No. 6,597,150, issued Jul. 22, 2003; U.S. Pat. No. 6,621,272, issued Sep. 16, 2003; U.S. Pat. No. 6,623,314, issued Sep. 23, 2003; U.S. Pat. No. 6,633,165, issued Oct. 14, 2003; U.S. Pat. No. 6,635,974, issued Oct. 21, 2003; U.S. Pat. No. 6,707,303, issued Mar. 16, 2004; U.S. Pat. No. 6,737,831, issued May 18, 2004; U.S. Pat. No. 6,744,149, issued Jun. 1, 2004; U.S. Pat. No. 6,759,849, issued Jul. 6, 2004; U.S. Pat. No. 6,781,382, issued Aug. 24, 2004; U.S. Pat. No. 6,788,025, filed Sep. 7, 2004; U.S. Pat. No. 6,795,782, issued Sep. 21, 2004; U.S. Pat. No. 6,805,090, filed Oct. 19, 2004; U.S. Pat. No. 6,806,716, filed Oct. 19, 2004; U.S. Pat. No. 6,850,037, filed Feb. 1, 2005; U.S. Pat. No. 6,850,037, issued Feb. 1, 2005; U.S. Pat. No. 6,871,151, issued Mar. 22, 2005; U.S. Pat. No. 6,885,195, issued Apr. 26, 2005; U.S. Pat. No. 6,888,468, issued May 3, 2005; U.S. Pat. No. 6,891,378, issued May 10, 2005; U.S. Pat. No. 6,906,522, issued Jun. 14, 2005; U.S. Pat. No. 6,906,523, issued Jun. 14, 2005; U.S. Pat. No. 6,909,287, issued Jun. 21, 2005; U.S. Pat. No. 6,914,413, issued Jul. 5, 2005; U.S. Pat. No. 6,913,483, issued Jul. 5, 2005; U.S. Pat. No. 6,930,485, issued Aug. 16, 2005; U.S. Pat. No. 6,933,727, issued Aug. 23, 200; U.S. Pat. No. 6,941,234, filed Sep. 6, 2005; U.S. Pat. No. 6,967,484, issued Nov. 22, 2005; U.S. Pat. No. 6,998,847, issued Feb. 14, 2006; U.S. Pat. No. 7,003,410, issued Feb. 21, 2006; U.S. Pat. No. 7,003,411, issued Feb. 21, 2006; U.S. Pat. No. 7,012,433, issued Mar. 14, 2006; U.S. Pat. No. 7,015,674, issued Mar. 21, 2006; U.S. Pat. No. 7,034,541, issued Apr. 25, 2006; U.S. Pat. No. 7,039,533, issued May 2, 2006; U.S. Pat. No. 7,058,525, issued Jun. 6, 2006; U.S. Pat. No. 7,081,755, issued Jul. 25, 2006; U.S. Pat. No. 7,106,070, issued Sep. 12, 2006; U.S. Pat. No. 7,116,109, issued Oct. 3, 2006; U.S. Pat. No. 7,119,686, issued Oct. 10, 2006; and U.S. Pat. No. 7,126,341, issued Oct. 24, 2006; U.S. Pat. No. 7,154,276, issued Dec. 26, 2006; U.S. Pat. No. 7,198,510, issued Apr. 3, 2007; U.S. Pat. No. 7,363,175, issued Apr. 22, 2008; U.S. Pat. No. 7,208,914, issued Apr. 24, 2007; U.S. Pat. No. 7,246,015, issued Jul. 17, 2007; U.S. Pat. No. 7,295,936, issued Nov. 13, 2007; U.S. Pat. No. 7,319,304, issued Jan. 15, 2008; U.S. Ser. No. 09/780,146, filed Feb. 9, 2001, entitled STORAGE BATTERY WITH INTEGRAL BATTERY TESTER; U.S. Ser. No. 09/756,638, filed Jan. 8, 2001, entitled METHOD AND APPARATUS FOR DETERMINING BATTERY PROPERTIES FROM COMPLEX IMPEDANCE/ADMITTANCE; U.S. Ser. No. 09/862,783, filed May 21, 2001, entitled METHOD AND APPARATUS FOR TESTING CELLS AND BATTERIES EMBEDDED IN SERIES/PARALLEL SYSTEMS; U.S. Ser. No. 09/880,473, filed Jun. 13, 2001; entitled BATTERY TEST MODULE; U.S. Ser. No. 10/042,451, filed Jan. 8, 2002, entitled BATTERY CHARGE CONTROL DEVICE; U.S. Ser. No. 10/109,734, filed Mar. 28, 2002, entitled APPARATUS AND METHOD FOR COUNTERACTING SELF DISCHARGE IN A STORAGE BATTERY; U.S. Ser. No. 10/112,998, filed Mar. 29, 2002, entitled BATTERY TESTER WITH BATTERY REPLACEMENT OUTPUT; U.S. Ser. No. 10/263,473, filed Oct. 2, 2002, entitled ELECTRONIC BATTERY TESTER WITH RELATIVE TEST OUTPUT; U.S. Ser. No. 10/310,385, filed Dec. 5, 2002, entitled BATTERY TEST MODULE; U.S. Ser. No. 10/462,323, filed Jun. 16, 2003, entitled ELECTRONIC BATTERY TESTER HAVING A USER INTERFACE TO CONFIGURE A PRINTER; U.S. Ser. No. 10/653,342, filed Sep. 2, 2003, entitled ELECTRONIC BATTERY TESTER CONFIGURED TO PREDICT A LOAD TEST RESULT; U.S. Ser. No. 10/441,271, filed May 19, 2003, entitled ELECTRONIC BATTERY TESTER; U.S. Ser. No. 09/653,963, filed Sep. 1, 2000, entitled SYSTEM AND METHOD FOR CONTROLLING POWER GENERATION AND STORAGE; U.S. Ser. No. 10/174,110, filed Jun. 18, 2002, entitled DAYTIME RUNNING LIGHT CONTROL USING AN INTELLIGENT POWER MANAGEMENT SYSTEM; U.S. Ser. No. 10/258,441, filed Apr. 9, 2003, entitled CURRENT MEASURING CIRCUIT SUITED FOR BATTERIES; U.S. Ser. No. 10/681,666, filed Oct. 8, 2003, entitled ELECTRONIC BATTERY TESTER WITH PROBE LIGHT; U.S. Ser. No. 10/783,682, filed Feb. 20, 2004, entitled REPLACEABLE CLAMP FOR ELECTRONIC BATTERY TESTER; U.S. Ser. No. 10/791,141, filed Mar. 2, 2004, entitled METHOD AND APPARATUS FOR AUDITING A BATTERY TEST; U.S. Ser. No. 10/867,385, filed Jun. 14, 2004, entitled ENERGY MANAGEMENT SYSTEM FOR AUTOMOTIVE VEHICLE; U.S. Ser. No. 10/896,834, filed Jul. 22, 2004, entitled ELECTRONIC BATTERY TESTER; U.S. Ser. No. 10/958,821, filed Oct. 5, 2004, entitled IN-VEHICLE BATTERY MONITOR; U.S. Ser. No. 10/958,812, filed Oct. 5, 2004, entitled SCAN TOOL FOR ELECTRONIC BATTERY TESTER; U.S. Ser. No. 11/008,456, filed Dec. 9, 2004, entitled APPARATUS AND METHOD FOR PREDICTING BATTERY CAPACITY AND FITNESS FOR SERVICE FROM A BATTERY DYNAMIC PARAMETER AND A RECOVERY VOLTAGE DIFFERENTIAL, U.S. Ser. No. 60/587,232, filed Dec. 14, 2004, entitled CELLTRON ULTRA, U.S. Ser. No. 11/018,785, filed Dec. 21, 2004, entitled WIRELESS BATTERY MONITOR; U.S. Ser. No. 60/653,537, filed Feb. 16, 2005, entitled CUSTOMER MANAGED WARRANTY CODE; U.S. Ser. No. 11/063,247, filed Feb. 22, 2005, entitled ELECTRONIC BATTERY TESTER OR CHARGER WITH DATABUS CONNECTION; U.S. Ser. No. 60/665,070, filed Mar. 24, 2005, entitled OHMMETER PROTECTION CIRCUIT; U.S. Ser. No. 11/141,234, filed May 31, 2005, entitled BATTERY TESTER CAPABLE OF IDENTIFYING FAULTY BATTERY POST ADAPTERS; U.S. Ser. No. 11/143,828, filed Jun. 2, 2005, entitled BATTERY TEST MODULE; U.S. Ser. No. 11/146,608, filed Jun. 7, 2005, entitled SCAN TOOL FOR ELECTRONIC BATTERY TESTER; U.S. Ser. No. 60,694,199, filed Jun. 27, 2005, entitled GEL BATTERY CONDUCTANCE COMPENSATION; U.S. Ser. No. 11/178,550, filed Jul. 11, 2005, entitled WIRELESS BATTERY TESTER/CHARGER; U.S. Ser. No. 60/705,389, filed Aug. 4, 2005, entitled PORTABLE TOOL THEFT PREVENTION SYSTEM, U.S. Ser. No. 11/207,419, filed Aug. 19, 2005, entitled SYSTEM FOR AUTOMATICALLY GATHERING BATTERY INFORMATION FOR USE DURING BATTERY TESTER/CHARGING, U.S. Ser. No. 60/712,322, filed Aug. 29, 2005, entitled AUTOMOTIVE VEHICLE ELECTRICAL SYSTEM DIAGNOSTIC DEVICE, U.S. Ser. No. 60/713,168, filed Aug. 31, 2005, entitled LOAD TESTER SIMULATION WITH DISCHARGE COMPENSATION, U.S. Ser. No. 60/731,881, filed Oct. 31, 2005, entitled PLUG-IN FEATURES FOR BATTERY TESTERS; U.S. Ser. No. 60/731,887, filed Oct. 31, 2005, entitled AUTOMOTIVE VEHICLE ELECTRICAL SYSTEM DIAGNOSTIC DEVICE; U.S. Ser. No. 11/304,004, filed Dec. 14, 2005, entitled BATTERY TESTER THAT CALCULATES ITS OWN REFERENCE VALUES; U.S. Ser. No. 60/751,853, filed Dec. 20, 2005, entitled BATTERY MONITORING SYSTEM; U.S. Ser. No. 11/304,004, filed Dec. 14, 2005, entitled BATTERY TESTER WITH CALCULATES ITS OWN REFERENCE VALUES; U.S. Ser. No. 60/751,853, filed Dec. 20, 2005, entitled BATTERY MONITORING SYSTEM; U.S. Ser. No. 11/352,945, filed Feb. 13, 2006, entitled BATTERY TESTERS WITH SECONDARY FUNCTIONALITY; U.S. Ser. No. 11/356,299, filed Feb. 16, 2006, entitled CENTRALLY MONITORED SALES OF STORAGE BATTERIES; U.S. Ser. No. 11/356,443, filed Feb. 16, 2006, entitled ELECTRONIC BATTERY TESTER WITH NETWORK COMMUNICATION; U.S. Ser. No. 11/498,703, filed Aug. 3, 2006, entitled THEFT PREVENTION DEVICE FOR AUTOMOTIVE VEHICLE SERVICE CENTERS; U.S. Ser. No. 11/507,157, filed Aug. 21, 2006, entitled APPARATUS AND METHOD FOR SIMULATING A BATTERY TESTER WITH A FIXED RESISTANCE LOAD; U.S. Ser. No. 11/511,872, filed Aug. 29, 2006, entitled AUTOMOTIVE VEHICLE ELECTRICAL SYSTEM DIAGNOSTIC DEVICE; U.S. Ser. No. 11/519,481, filed Sep. 12, 2006, entitled BROAD-BAND LOW-CONDUCTANCE CABLES FOR MAKING KELVIN CONNECTIONS TO ELECTROCHEMICAL CELLS AND BATTERIES; U.S. Ser. No. 60/847,064, filed Sep. 25, 2006, entitled STATIONARY BATTERY MONITORING ALGORITHMS; U.S. Ser. No. 11/638,771, filed Dec. 14, 2006, entitled BATTERY MONITORING SYSTEM; U.S. Ser. No. 11/641,594, filed Dec. 19, 2006, entitled METHOD AND APPARATUS FOR MEASURING A PARAMETER OF A VEHICLE ELECTRONIC SYSTEM; U.S. Ser. No. 11/711,356, filed Feb. 27, 2007, entitled BATTERY TESTER WITH PROMOTION FEATURE; U.S. Ser. No. 11/811,528, filed Jun. 11, 2007, entitled ALTERNATOR TESTER; U.S. Ser. No. 60/950,182, filed Jul. 17, 2007, entitled BATTERY TESTER FOR HYBRID VEHICLE; U.S. Ser. No. 60/973,879, filed Sep. 20, 2007, entitled ELECTRONIC BATTERY TESTER FOR TESTING STATIONARY BATTERIES; U.S. Ser. No. 11/931,907, filed Oct. 31, 2007, entitled BATTERY MAINTENANCE WITH PROBE LIGHT; U.S. Ser. No. 60/992,798, filed Dec. 6, 2007, entitled STORAGE BATTERY AND BATTERY TESTER; U.S. Ser. No. 12/099,826, filed Apr. 9, 2008, entitled BATTERY RUN DOWN INDICATOR; U.S. Ser. No. 61/061,848, filed Jun. 16, 2008, entitled KELVIN CLAMP FOR ELECTRONICALLY COUPLING TO A BATTERY CONTACT; which are incorporated herein in their entirety.


Many electric vehicles use a battery or other electrical storage device to store energy for use in operating the electric vehicle. Some such electric vehicles use energy recovering (or “regeneration”) techniques in which potentially waste energy is recovered and stored in the energy storage device. One example is recovery of energy from the braking function. The energy in braking is recovered as electrical energy rather than being dissipated as excess heat. The energy storage device should be able to sufficiently store the excess energy, as well as deliver energy to the electrical motor of the electric vehicle. Due to the increasing price of petroleum, hybrid systems are rapidly proliferating, and are outpacing the ability to test those systems. There is an ongoing need to test the electrical systems of such electric vehicles.


SUMMARY OF THE INVENTION

Testing or diagnostics are performed on an electric vehicle. The vehicle is operated and current flow through a system of the vehicle is monitored. A voltage related to the system is also monitored. Diagnostics are provided based upon the monitored voltage and the monitored current.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a simplified block diagram showing a battery tester in accordance with the present invention coupled to a electric vehicle.



FIG. 2 is a simplified block diagram showing steps in accordance with the present invention.



FIG. 3 is a simplified block diagram which illustrates a test device in accordance with the present invention.



FIG. 4 is a simplified block diagram showing one aspect of the present invention in which the test device couples to the databus of the electric vehicle.





DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS

Electric vehicles are becoming increasingly popular as an alternative to traditional vehicles which are powered solely by an internal combustion engine. In a electric vehicle, a large battery or a group of batteries, or other energy storage device, is used to store electrical energy. The stored electrical power is used by an electric motor to power the electric vehicle.


In order to increase energy efficiency, some electric vehicles use various techniques to capture or otherwise recover waste energy. This may be referred to as “regeneration”. The recovered energy is typically returned in the battery of the electric vehicle for storage and subsequent use.


Various techniques are used to recover energy. For example, one common technique is to use the braking system of the electric vehicle to convert vehicle motion into electricity for storage in the battery. This differs from a conventional braking system in which excess energy is vented into the atmosphere as heat.


As the battery of the electric vehicle ages, its ability to store energy also degrades. However, this may not be apparent to the operator, particularly in a hybrid vehicle. One symptom of a failing battery is decreased mileage of the electric vehicle because the battery is not able to effectively store or deliver energy. The health of a battery in a electric vehicle is an indication of how well the battery accepts a charge and delivers stored energy at high rates. To some extent, this relates to the amp hour capacity of the battery as well as the ability of the battery to accept or deliver charge in a given time. This is related to how much recovered energy can be stored at one time for later use. For example, is the battery capable of storing energy from many braking cycles for subsequent use, or only a few.


Typical battery testing techniques are difficult to implement in such a electric vehicle. For example, it may be difficult or impossible to access the individual batteries or cell for testing. This may require a great deal of labor. Further, there may be safety concerns related to the relatively high voltages involved.


With the present invention, a current sensor is coupled to the battery pack of a electric vehicle of the type which includes an electric motor to move the electric vehicle. The current sensor can be placed in line with the battery pack and arranged to measure current into and out of the pack. The total string voltage of the battery pack is also measured. A technician or other service personnel performs a battery test by operating the electric vehicle through a number of braking and acceleration cycles. Data is collected and compared to baseline or nominal data which is representative of operation of a new electric vehicle. An output can be provided based upon the comparison. For example, the output can be an indication of how well the electric vehicle compares to new electric vehicle, for example as a percentage.


The current sensor can be placed in series with one of the battery terminals using a shunt resistance or the like. Another example is a Hall effect or other non intrusive sensor. Such a sensor is advantageous because it does not require the battery to be disconnected. In another example, an adapter can be configured which can be inserted between the battery pack and the electric vehicle such that the test device can be coupled to the battery.


The various sensors can be coupled at any convenient location, for example, proximate the battery pack, under the hood, near the electric vehicle motor or other electronics. In such an application, a Hall effect sensor may be sufficient because of the relatively large magnitudes of the current levels being monitored. Further, a Hall effect sensor may be easily “zeroed” because during installation there will be no current flowing. Voltage measurements may be made using direct attachment, for example, to the high voltage pole of the battery. The voltage measurements may also be obtained through other techniques, for example, through an OBDII interface used to read the voltage from the electric vehicle computer system. This may be preferable when using a wireless communication port.


During testing, the test device can provide instructions to an operator as to how to operate the electric vehicle. Such instructions can be provided, for example, through a wireless communication link to a device, through a PDA-type device, through audible instructions, through a display of the vehicle, or through other techniques.


If the testing device couples to the OBDII system of the electric vehicle, additional information can be retrieved. For example, information related to the RPM of a motor, electric vehicle speed, braking information, etc. can be recovered. With this additional information, the test device may be used to verify that the technician has performed the required operations. Of course, such operations should have some flexibility in order to reflect safe driving conditions.



FIG. 1 is a simplified block diagram 10 of a electric vehicle 12 coupled to a test device 14. The test device is shown as being separate from the electric vehicle and may be a portable or stationary device. However, in some configurations the test device 14 may be included in electric vehicle 12. Electric vehicle 12 is illustrated as including battery pack 20, electric motor 22 and energy recovery device 24. As discussed, the battery pack 20 is used to power the electric motor 22 while the energy recover device 24 is used to recover energy during electric vehicle operation. Test circuitry 14 couples to battery 20 and includes or is coupled to voltage sensor 30, memory 32 and microprocessor 33. Further, test circuitry 14 includes or is coupled to a current sensor 34 arranged to sensor current into and/or out of battery pack 20. Test circuitry 14 provides an output through input/output (I/O) 35 as discussed above related to the condition of the battery pack 20. The test circuitry 14 includes a microprocessor 33 or the like which may include either internal or external analog to digital converters configured to convert the sensed voltage current levels to digital values. Microprocessor 33 operates in accordance with instructions stored in memory and provide an output 35 which is related to the condition of the battery pack 20. FIG. 1 also shows an optional internal combustion engine 40 which is used to supplement the energy delivered by battery pack 20. The optional engine 40 can be used to charge battery pack 20, and/or can be used to supplement the electrical power available to motor 22 during times of high acceleration or the like. Thus, engine 40 may include an electric generator 41.



FIG. 2 is a simplified block diagram showing steps in accordance with one example embodiment of the present invention. The block diagram of FIG. 2 begins at start block 50 and controls past block 52 where the electric vehicle is operated and data is collected. At block 54, nominal data is recovered. For example, such nominal data can be stored in memory 32 shown in FIG. 1. The nominal data can be related to a baseline condition, for example, the condition of the battery in electric vehicle when they are new. At block 56, the collected data is compared to the nominal data and output is provided at block 58. The output can be, for example, a relative output with respect to the current condition of electric vehicle in battery relative to a new electric vehicle or battery. This may be in the form of, for example, a percentage or other format. At block 60, the process is terminated.



FIG. 3 is a simplified block diagram showing test device 14 in greater detail. Test device 14 is illustrated as including differential amplifier 102 which couples to current sensor 34. A second differential amplifier 98 couples to battery 20 and forms the voltage sensor 30. The voltage sensor 30 may be a part of, or may be separated from, the test device 14. The output from the amplifier 98 is provided through an analog to digital converter 100 which couples microprocessor 33. Similarly, the output of amplifier 102 is converted into a digital format for microprocessor 33 using analog to digital converter 104. The actual voltage and current sensors may be in accordance with any technique and is not limited to the techniques described herein. As discussed below, the current and voltage sensors may be a part of vehicle 12 and the test can retrieve their information over a databus of the vehicle.


Microprocessor 33 operates in accordance with instructions stored in memory 32 and is configured to communicate with an operator through user I/O 110. An optional OBD interface, as illustrated at OBD I/O 112, is provided. OBD I/O 112 is configured to couple to the OBD databus of the electric vehicle 12. The user I/O 110 can be any type of user input and output including, for example, a button or keypad entry, a display including a graphical display, an audio output including voice prompts, or other input or output techniques.



FIG. 4 is a simplified block diagram showing another aspect of the present invention. As discussed above, test device 14 couples to the on board databus 130 of electric vehicle 12, for example through OBD connector 132. Electric vehicle 12 is illustrated as including a plurality of systems identified as System A, B, C through System N. These systems can be any active or passive electrical component or set of components within the vehicle including a motor or motors of the vehicle, an energy recovery system such as a regenerative braking system, a battery cell, a block of cells, a battery pack, vehicle electronics such as audio systems, defrosters, wipers, adjustable seat motors, set heaters, lights both internal and external, computer systems, electrical system associated with an electric or internal combustion motor, charging systems, or others. Each of the systems A-N is illustrated as having a current sensor 140A-140N, respectively and a voltage sensor 142A-142N, respectively. The multiple current sensors 140 and voltage sensors 142 are provided for illustrative purposes only and a particular system within the vehicle may be have neither type of sensor, may have a single sensor, or may have multiple sensors. The outputs from the current sensors 140 the voltage sensors 142 are provided to the internal databus of the electric vehicle 130. The electric vehicle 12 may include additional sensors for sensing physical properties such as temperature, moisture content, fluid levels, pressures, speed or rate of rotation of motors, flow rate, whether a switch is opened or closed, etc. These sensors are illustrated in FIG. 4 as sensor A, B through sensor N and are also coupled to the databus 130 of electric vehicle 12. The sensors A, B, . . . N may be associated with any of the above discussed systems A-N, or with other components or aspects of the electric vehicle 12. For example, a particular sensor may provide a temperature reading of a particular system, or other measurement related to the system. Note that the coupling of the various sensors to the databus 130 may be direct or indirect. For example, data from a particular sensor may be provided to another component, such as directly to a microprocessor 150 of the electric vehicle. Subsequently, the microprocessor 150 may provide the information on databus 130. The data from the various sensors may be optionally stored in an internal memory 152 of the electric vehicle 12. In FIG. 4, the memory 152 is illustrated as being coupled to microprocessor 150. However, this may be optional and the memory 152 can be coupled to databus 130, either directly or through some other components. In one aspect of the present invention, test device 14 monitors information from sensors within the electric vehicle in order to provide enhanced diagnostics without requiring connection of additional sensors to the vehicle. This is achieved by retrieving data through the databus 130 of the electric vehicle as the various sensors within the vehicle communicate information.


In measuring electrical parameters of components, it is often desirable to couple to the electrical component through a four point “Kelvin” connection. In such a configuration, a first pair of connections are used to measure a voltage across the component while a second pair of connections are used to carry current. Kelvin connections reduce errors in the measurements associated with the electrical leads and wiring which are used to couple to the component. However, in many electric vehicles, it is extremely difficult to place Kelvin connectors onto the various electrical components. Further, even if such connections are made, they may carry high voltages which may be unsafe for an operator. Therefore, it is often difficult to couple to the electrical systems of an electric vehicle using traditional Kelvin connection techniques which have been associated with the automotive industry.


In one aspect, the present invention provides a “virtual” Kelvin connection to electrical components of the vehicle. The “virtual” Kelvin connection is embodied in microprocessor 33 of the test device 14. Microprocessor 33 receives current and voltage information from a pair of sensors, such as current sensor 140A and voltage sensor 142A, which are coupled to a component of the vehicle such as system A. Using this information, the microprocessor 33 is capable of calculating an electrical parameter associated with that particular system. For example, electrical resistance can be calculated using ohms law as R=V/I. However, other electrical parameters can be calculated such as conductance. Further still, if the electricity through the system has a time varying component, it is possible to determine dynamic parameters of the system such as dynamic resistance or conductance. Complex parameters such as impedance, reactance, etc. of the particular system can also be determined. Note that there may be a lag or time delay between the two measurements (voltage and current) due to delays in the databus 130 or from other sources. Microprocessor 33 can compensate for such a lag by determining, or at least approximating, the duration of the delay. One technique which can be used is by monitoring a function or activity within the vehicle, for example, a braking function, while monitoring the outputs from the associated current and voltage sensors. Based upon when the current and voltage begin to change relative to one another, it is possible to compensate for any delays if the relationship is known. For example, the voltage and current may be expected to rise simultaneously in some systems. If there is a lag in the voltage measurement, for example, the duration of that lag can be measured by microprocessor 33 and used to compensate subsequent measurements. Similarly, a particular sensor may have a relatively long response time, or the databus 130 may be of a sufficiently slow data rate that sufficient band width may not be available to measure or monitor a rapidly changing voltage or current. Again, compensation techniques can be used to at least partially address such a shortcoming, for example, by providing a compensated frequency response profile for a particular sensor.


During operation, microprocessor 33 collects data from a desired system (A-N) of electric vehicle 12 using the associated current sensor 140A-N and/or voltage sensor 140A-N as desired. The microprocessor 33 can also use information collected from other sensors of the electric vehicle, such as sensors A, B and C for use in testing. If a measurement is desired across multiple systems, it is possible to add or subtract the measurement currents and voltages to obtain such a measurement depending upon the configuration of the sensors. As discussed above, the data is retrieved from databus 130 using OBD I/O circuitry 112 coupled to the databus 130 through OBD connector 132. In addition to having a user input/output 110, another optional input/output 160 is illustrated. I/O 160 can comprise circuitry for providing data to, or receiving data from, another device such as a remote location which collects data or measurements, a printer, a remote control or display for use by an operator, remote sensors, etc. Additionally, other optional sensors 162 are shown in test device 14 of FIG. 4. Sensors 162 may comprise other sensors used to perform diagnostics including physical Kelvin connectors, current and/or voltage sensors, temperature sensors, etc. The user I/O circuitry 110 can be used to provide an interface for an operator during testing of electric vehicle 12. For example, the operator can instruct the test device 14 as to which of the systems of electric vehicle 12 to test, a selected test to perform, provide information regarding electric vehicle 12, etc. The I/O circuitry 110 can also be used to provide information to the operator such as the results of the test, intermediary results, information regarding past tests, information regarding the electric vehicle or other information. Additionally, if a particular test requires the electric vehicle to be operated in a particular manner, the user I/O circuitry 110 can provide instructions to the operator. For example, the particular test being performed may require that the electric vehicle be accelerated, or that the brake be applied, that the electric vehicle be stopped for a period, or other actions. The instructions to an operator may be in the form of, for example, audible instructions which may be easily implemented when driving the electric vehicle. Using the data collected from the sensors, microprocessor 33 can diagnose the systems and operation of electric vehicle 12. In one example of the present invention, the information can be used to perform any type of diagnostics such as those known in the art. Various types of diagnostics include measuring parameters of systems of the electric vehicle, monitoring the amount of energy recovered during an energy regenerative process such as by recovering energy during a braking function, determining the maximum amount of energy which may be recovered, or the maximum amount of energy which the energy storage device can accept at any one time during recharging, monitoring the energy storage device as it ages to identify a loss of the capacity to store recovered energy or the overall capacity of the storage device, monitoring the maximum energy which the energy storage device is capable of delivering, etc.


For example, one diagnostic technique includes monitoring a parameter of a cell or block of cells of the battery pack 20 and observing changes over time, for example changes in impedance, conductance, resistance, or other parameters including dynamic parameters. Another example diagnostic includes comparing parameters measured for a particular cell or block of cells of the battery pack 20 and observing any imbalances between cells or blocks of cells, or other indications that a particular cell or block of cells is not operating in a manner which is similar to the remaining cells or blocks of cells. This may be through statistical techniques such as observing the distribution of measurements of cells or blocks of cells, etc. Another example diagnostic technique is simply observing voltage differences across cells or blocks of cells in the battery 10.


In another example, the user I/O 110 is used to provide an output related to carbon dioxide emissions of the electric vehicle 12. For example, the output can be an indication of the reduction in carbon dioxide emissions of the electric vehicle 12 in comparison to a standard vehicle with an internal combustion engine. In a related example, the amount of energy regenerated by electric vehicle 12, for example using a regenerative braking technique, can be monitored using test device 14 and an output provided using user I/O 110 which indicates the equivalent amount of carbon dioxide which would have been generated by typical internal combustion engine had the energy not been recovered.


In another example configuration, test device 14 can be used to monitor operation of electric vehicle 12 and collect information related to the efficiency of the electric vehicle 12 under different operating conditions. This information is then used by device 14 to instruct and operator through user I/O 110 to operate the electric vehicle 12 in a manner which increases efficiency. For example, if system A shown in FIG. 4 comprises a regenerative braking system, and system B is the battery pack for the electric vehicle, the test device 14 can monitor the energy recovered by the regenerative braking system and the amount of energy which the battery pack is capable of storing. Thus, if measurements indicate that the battery pack is only capable of accepting a maximum of 50 kW, the device 14 can instruct the operator when braking to attempt to rapidly approach the 50 kW energy recovering level, and maintain the 50 kW recovery level for an extended period without exceeding that level. This will ensure that the maximum amount of energy is recovered during a braking operation. Similar techniques can be used to instruct the operator during acceleration periods, idling periods, “stop and go” traffic, etc. In a more advanced configuration, the device 14 is configured to control operation of the systems in vehicle 12 in a manner which differs from the configuration provided by the control system, for example, implemented in microprocessor 150 of electric vehicle 12. For example, the test device 14 can provide instructions or information on databus 130 which allows the charging system or the regeneration system of electric vehicle 12 to charge the battery pack 20 to a higher or lower level than that set by the internal control system of the vehicle. This may be used, for example, to extend the life of systems within the vehicle, increase the range of the vehicle, test certain systems, or for other functions or purposes.


Although the present invention has been described with reference to preferred embodiments, workers skilled in the art will recognize that changes may be made in form and detail without departing from the spirit and scope of the invention. For example, although storage batteries or a “battery pack” described, as used herein the term electric energy storage device includes a battery or collection of batteries, capacitors including supercapacitors and ultracapacitors, and other storage devices. As used herein, electric vehicle includes any type of vehicle which uses an electric motor to propel, or assist in propelling, the vehicle. One example electric vehicle is a vehicle with an electric motor and an electric storage device such as a battery pack or the like. Another example electric vehicle is an electric vehicle with regenerative techniques in which energy is recovered, for example, from the braking process. Another example electric vehicle is a hybrid vehicle which also includes an internal combustion engine for use in supplementing electric power, and/or charging the electrical energy storage device. Such a hybrid vehicle may optionally include regenerative systems for energy recovery. As used herein, “operating” an electric vehicle includes using the vehicle, or systems of the vehicle, and is not limited to driving the vehicle. In one configuration the test is separate from the vehicle and may be selectively coupled to the vehicle or added after manufacture of the vehicle. The “virtual” Kelvin configuration calculates a parameter of a system of the vehicle using two or more inputs from sensors which are transmitted over a databus of the vehicle.

Claims
  • 1. A method of testing an electrical system of an electric vehicle, comprising: operating the electric vehicle;coupling to a databus of the electric vehicle;monitoring data on the data bus and retrieving information related to current flowing into the electrical system of the electric vehicle during the step of operating;monitoring data on the databus and retrieving information related to a voltage of the electrical system during the step of operating;diagnosing the electric vehicle based upon the monitored current and the monitored voltage; andwherein diagnosing the electric vehicle includes compensating for a time difference between retrieving information related to current flowing into the system and retrieving information related to a voltage of the system.
  • 2. The method of claim 1 including instructing an operator regarding operation of the electric vehicle.
  • 3. The method of claim 1 wherein diagnosing includes comparing monitored current and monitored voltage or function of the monitored current and monitored voltage with nominal values.
  • 4. The method of claim 1 including wirelessly communicating between the connection to the databus and test circuitry.
  • 5. The method of claim 1 wherein the databus comprises an OBD databus.
  • 6. The method of claim 1 wherein the system comprises a battery pack of the vehicle.
  • 7. The method of claim 6 including monitoring a second system of the vehicle.
  • 8. The method of claim 7 wherein the second system comprises a regenerative braking system.
  • 9. The method of claim 8 wherein diagnosing comprises monitoring energy output from the regenerative braking system and monitoring energy input into the battery pack.
  • 10. The method of claim 9 wherein the diagnosing further comprises determining efficiency of the transfer of energy recovered from the regenerative braking system and stored in the battery pack.
  • 11. The method of claim 1 wherein the system comprises a block of cells of a battery pack of the electric vehicle.
  • 12. The method of claim 11 including monitoring a second block of cells of the battery pack.
  • 13. The method of claim 12 wherein the diagnosing comprises comparing a parameter of the first block of cells with a parameter of the second block of cells.
  • 14. The method of claim 1 wherein the diagnosing comprises measuring a parameter of the system.
  • 15. The method of claim 14 wherein the parameter comprises a dynamic parameter.
  • 16. The method of claim 1 including providing an output to an operator of the electric vehicle.
  • 17. The method of claim 16 wherein the output comprises instructions related to operation of the vehicle for use in performing the step of diagnosing.
  • 18. The method of claim 1 wherein the electric vehicle comprises a hybrid vehicle.
  • 19. The method of claim 18 wherein the system comprises an electric generator coupled to an internal combustion engine of the electric vehicle.
  • 20. The method of claim 19 including monitoring a second system of the electric vehicle, wherein the second system comprises a battery pack and the step of diagnosing comprises determining efficiency of storage of energy from the generator by the battery pack.
  • 21. The method of claim 1 including placing information onto the databus which affects operation of the electric vehicle.
  • 22. The method of claim 1 including placing information onto the databus which affects operation of a system of the electric vehicle.
  • 23. The method of claim 1 including providing an output to an operator of the vehicle to instruct the operator to operate the vehicle in a manner to increase energy efficiency.
  • 24. An apparatus for testing an electric vehicle, comprising: a databus connector configured to connect to a databus of the electric vehicle;a microprocessor configured to: retrieve voltage information from the databus of the electric vehicle provided by a voltage sensor coupled to an electrical system of the electric vehicle;retrieve current information from the databus of the electric vehicle provided by a voltage sensor coupled to the electrical system of the electric vehicle;diagnose the operation of the vehicle based upon the retrieved current information and the retrieved voltage information; andwherein the microprocessor compensates for a time difference between retrieving information related to current flowing into the system and retrieving information related to a voltage of the system.
  • 25. The apparatus of claim 24 wherein the microprocessor compares monitored current and monitored voltage or a function of monitored voltage and monitored current, with nominal values.
  • 26. The apparatus of claim 24 wherein the databus comprises an OBD databus.
  • 27. The apparatus of claim 24 wherein the system comprises a battery pack of the vehicle.
  • 28. The apparatus of claim 24 wherein the microprocessor monitors a second system of the vehicle.
  • 29. The apparatus of claim 28 wherein the second system comprises a regenerative braking system.
  • 30. The apparatus of claim 29 wherein the microprocessor monitors energy output from the regenerative braking system and monitors energy input into the battery pack.
  • 31. The apparatus of claim 30 wherein the microprocessor further determines efficiency of the transfer of energy recovered from the regenerative braking system and stored in the battery pack.
  • 32. The apparatus of claim 24 wherein the system comprises a block of cells of a battery pack of the electric vehicle.
  • 33. The apparatus of claim 32 wherein the microprocessor monitors a second block of cells of the battery pack.
  • 34. The apparatus of claim 33 wherein the microprocessor compares a parameter of the first block of cells with a parameter of the second block of cells.
  • 35. The apparatus of claim 24 wherein the microprocessor measures a parameter of the system.
  • 36. The apparatus of claim 35 wherein the parameter comprises a dynamic parameter.
  • 37. The apparatus of claim 24 including an output provided to an operator of the electric vehicle.
  • 38. The apparatus of claim 37 wherein the output comprises instructions related to operation of the vehicle for use in performing the step of diagnosing.
  • 39. The apparatus of claim 24 wherein the electric vehicle comprises a hybrid vehicle.
  • 40. The apparatus of claim 24 wherein the system comprises an electric generator coupled to an internal combustion engine of the electric vehicle.
  • 41. The apparatus of claim 40 wherein the microprocessor monitors a second system of the electric vehicle, wherein the second system comprises a battery pack and the microprocessor determines efficiency of storage of energy from the generator by the battery pack.
  • 42. The apparatus of claim 24 wherein the microprocessor is configured to place information onto the databus which affects operation of the electric vehicle.
CROSS-REFERENCE TO RELATED APPLICATION

The present application is based on and claims the benefit of U.S. provisional patent application Ser. No. 60/950,182, filed Jul. 17, 2007, and U.S. provisional patent application Ser. No. 60/970,319, filed Sep. 6, 2007, the contents of which are hereby incorporated by reference in their entirety.

US Referenced Citations (621)
Number Name Date Kind
85553 Adams Jan 1869 A
2000665 Neal May 1935 A
2417940 Lehman Mar 1947 A
2514745 Dalzell Jul 1950 A
2727221 Springg Dec 1955 A
3178686 Mills Apr 1965 A
3223969 Alexander Dec 1965 A
3267452 Wolf Aug 1966 A
3356936 Smith Dec 1967 A
3562634 Latner Feb 1971 A
3593099 Scholl Jul 1971 A
3607673 Seyl Sep 1971 A
3652341 Halsall et al. Mar 1972 A
3676770 Sharaf et al. Jul 1972 A
3729989 Little May 1973 A
3750011 Kreps Jul 1973 A
3753094 Furuishi et al. Aug 1973 A
3776177 Bryant et al. Dec 1973 A
3796124 Crosa Mar 1974 A
3808522 Sharaf Apr 1974 A
3811089 Strzelewicz May 1974 A
3816805 Terry Jun 1974 A
3850490 Zehr Nov 1974 A
3873911 Champlin Mar 1975 A
3876931 Godshalk Apr 1975 A
3886426 Daggett May 1975 A
3886443 Miyakawa et al. May 1975 A
3889248 Ritter Jun 1975 A
3906329 Bader Sep 1975 A
3909708 Champlin Sep 1975 A
3936744 Perlmutter Feb 1976 A
3946299 Christianson et al. Mar 1976 A
3947757 Grube et al. Mar 1976 A
3969667 McWilliams Jul 1976 A
3979664 Harris Sep 1976 A
3984762 Dowgiallo, Jr. Oct 1976 A
3984768 Staples Oct 1976 A
3989544 Santo Nov 1976 A
4008619 Alcaide et al. Feb 1977 A
4023882 Pettersson May 1977 A
4024953 Nailor, III May 1977 A
4047091 Hutchines et al. Sep 1977 A
4053824 Dupuis et al. Oct 1977 A
4056764 Endo et al. Nov 1977 A
4057313 Polizzano Nov 1977 A
4070624 Taylor Jan 1978 A
4086531 Bernier Apr 1978 A
4106025 Katz Aug 1978 A
4112351 Back et al. Sep 1978 A
4114083 Benham et al. Sep 1978 A
4126874 Suzuki et al. Nov 1978 A
4160916 Papasideris Jul 1979 A
4178546 Hulls et al. Dec 1979 A
4193025 Frailing et al. Mar 1980 A
4207611 Gordon Jun 1980 A
4217645 Barry et al. Aug 1980 A
4280457 Bloxham Jul 1981 A
4297639 Branham Oct 1981 A
4307342 Peterson Dec 1981 A
4315204 Sievers et al. Feb 1982 A
4316185 Watrous et al. Feb 1982 A
4322685 Frailing et al. Mar 1982 A
4351405 Fields et al. Sep 1982 A
4352067 Ottone Sep 1982 A
4360780 Skutch, Jr. Nov 1982 A
4361809 Bil et al. Nov 1982 A
4363407 Buckler et al. Dec 1982 A
4369407 Korbell Jan 1983 A
4379989 Kurz et al. Apr 1983 A
4379990 Sievers et al. Apr 1983 A
4385269 Aspinwall et al. May 1983 A
4390828 Converse et al. Jun 1983 A
4392101 Saar et al. Jul 1983 A
4396880 Windebank Aug 1983 A
4408157 Beaubien Oct 1983 A
4412169 Dell'Orto Oct 1983 A
4423378 Marino et al. Dec 1983 A
4423379 Jacobs et al. Dec 1983 A
4424491 Bobbett et al. Jan 1984 A
4441359 Ezoe Apr 1984 A
4459548 Lentz et al. Jul 1984 A
4514694 Finger Apr 1985 A
4520353 McAuliffe May 1985 A
4521498 Juergens Jun 1985 A
4564798 Young Jan 1986 A
4620767 Woolf Nov 1986 A
4633418 Bishop Dec 1986 A
4637359 Cook Jan 1987 A
4659977 Kissel et al. Apr 1987 A
4663580 Wortman May 1987 A
4665370 Holland May 1987 A
4667143 Cooper et al. May 1987 A
4667279 Maier May 1987 A
4678998 Muramatsu Jul 1987 A
4679000 Clark Jul 1987 A
4680528 Mikami et al. Jul 1987 A
4686442 Radomski Aug 1987 A
4697134 Burkum et al. Sep 1987 A
4707795 Alber et al. Nov 1987 A
4709202 Koenck et al. Nov 1987 A
4710861 Kanner Dec 1987 A
4719428 Liebermann Jan 1988 A
4723656 Kiernan et al. Feb 1988 A
4743855 Randin et al. May 1988 A
4745349 Palanisamy et al. May 1988 A
4773011 VanHoose Sep 1988 A
4781629 Mize Nov 1988 A
4816768 Champlin Mar 1989 A
4820966 Fridman Apr 1989 A
4825170 Champlin Apr 1989 A
4847547 Eng, Jr. Jul 1989 A
4849700 Morioka et al. Jul 1989 A
4874679 Miyagawa Oct 1989 A
4876495 Palanisamy et al. Oct 1989 A
4881038 Champlin Nov 1989 A
4885523 Koenck Dec 1989 A
4888716 Ueno Dec 1989 A
4901007 Sworm Feb 1990 A
4907176 Bahnick et al. Mar 1990 A
4912416 Champlin Mar 1990 A
4913116 Katogi et al. Apr 1990 A
4926330 Abe et al. May 1990 A
4929931 McCuen May 1990 A
4931738 MacIntyre et al. Jun 1990 A
4932905 Richards Jun 1990 A
4933845 Hayes Jun 1990 A
4934957 Bellusci Jun 1990 A
4937528 Palanisamy Jun 1990 A
4947124 Hauser Aug 1990 A
4949046 Seyfang Aug 1990 A
4956597 Heavey et al. Sep 1990 A
4965738 Bauer et al. Oct 1990 A
4968941 Rogers Nov 1990 A
4968942 Palanisamy Nov 1990 A
4969834 Johnson Nov 1990 A
4983086 Hatrock Jan 1991 A
5004979 Marino et al. Apr 1991 A
5030916 Bokitch Jul 1991 A
5032825 Kuznicki Jul 1991 A
5034893 Fisher Jul 1991 A
5037778 Stark et al. Aug 1991 A
5047722 Wurst et al. Sep 1991 A
5081565 Nabha et al. Jan 1992 A
5087881 Peacock Feb 1992 A
5095223 Thomas Mar 1992 A
5108320 Kimber Apr 1992 A
5109213 Williams Apr 1992 A
5126675 Yang Jun 1992 A
5130658 Bohmer Jul 1992 A
5140269 Champlin Aug 1992 A
5144218 Bosscha Sep 1992 A
5144248 Alexandres et al. Sep 1992 A
5159272 Rao et al. Oct 1992 A
5160881 Schramm et al. Nov 1992 A
5168208 Schultz et al. Dec 1992 A
5170124 Blair et al. Dec 1992 A
5179335 Nor Jan 1993 A
5187382 Kondo Feb 1993 A
5194799 Tomantschger Mar 1993 A
5204611 Nor et al. Apr 1993 A
5214370 Harm et al. May 1993 A
5214385 Gabriel et al. May 1993 A
5241275 Fang Aug 1993 A
5254952 Salley et al. Oct 1993 A
5266880 Newland Nov 1993 A
5278759 Berra et al. Jan 1994 A
5281919 Palanisamy Jan 1994 A
5281920 Wurst Jan 1994 A
5295078 Stich et al. Mar 1994 A
5298797 Redl Mar 1994 A
5300874 Shimamoto et al. Apr 1994 A
5302902 Groehl Apr 1994 A
5313152 Wozniak et al. May 1994 A
5315287 Sol May 1994 A
5321626 Palladino Jun 1994 A
5321627 Reher Jun 1994 A
5323337 Wilson et al. Jun 1994 A
5325041 Briggs Jun 1994 A
5331268 Patino et al. Jul 1994 A
5332927 Paul et al. Jul 1994 A
5336993 Thomas et al. Aug 1994 A
5338515 Dalla Betta et al. Aug 1994 A
5339018 Brokaw Aug 1994 A
5343380 Champlin Aug 1994 A
5347163 Yoshimura Sep 1994 A
5352968 Reni et al. Oct 1994 A
5357519 Martin et al. Oct 1994 A
5365160 Leppo et al. Nov 1994 A
5365453 Startup et al. Nov 1994 A
5369364 Renirie et al. Nov 1994 A
5381096 Hirzel Jan 1995 A
5387871 Tsai Feb 1995 A
5402007 Center et al. Mar 1995 A
5410754 Klotzbach et al. Apr 1995 A
5412308 Brown May 1995 A
5412323 Kato et al. May 1995 A
5425041 Seko et al. Jun 1995 A
5426371 Salley et al. Jun 1995 A
5426416 Jefferies et al. Jun 1995 A
5430645 Keller Jul 1995 A
5432025 Cox Jul 1995 A
5432426 Yoshida Jul 1995 A
5434495 Toko Jul 1995 A
5435185 Eagan Jul 1995 A
5442274 Tamai Aug 1995 A
5445026 Eagan Aug 1995 A
5449996 Matsumoto et al. Sep 1995 A
5449997 Gilmore et al. Sep 1995 A
5451881 Finger Sep 1995 A
5453027 Buell et al. Sep 1995 A
5457377 Jonsson Oct 1995 A
5459660 Berra Oct 1995 A
5469043 Cherng et al. Nov 1995 A
5485090 Stephens Jan 1996 A
5488300 Jamieson Jan 1996 A
5504674 Chen et al. Apr 1996 A
5508599 Koenck Apr 1996 A
5519383 De La Rosa May 1996 A
5528148 Rogers Jun 1996 A
5537967 Tashiro et al. Jul 1996 A
5541489 Dunstan Jul 1996 A
5546317 Andrieu Aug 1996 A
5548273 Nicol et al. Aug 1996 A
5550485 Falk Aug 1996 A
5561380 Sway-Tin et al. Oct 1996 A
5562501 Kinoshita et al. Oct 1996 A
5563496 McClure Oct 1996 A
5572136 Champlin Nov 1996 A
5573611 Koch et al. Nov 1996 A
5574355 McShane et al. Nov 1996 A
5578915 Crouch, Jr. et al. Nov 1996 A
5583416 Klang Dec 1996 A
5585416 Audett et al. Dec 1996 A
5585728 Champlin Dec 1996 A
5589757 Klang Dec 1996 A
5592093 Klingbiel Jan 1997 A
5592094 Ichikawa Jan 1997 A
5596260 Moravec et al. Jan 1997 A
5596261 Suyama Jan 1997 A
5598098 Champlin Jan 1997 A
5602462 Stich et al. Feb 1997 A
5606242 Hull et al. Feb 1997 A
5614788 Mullins et al. Mar 1997 A
5621298 Harvey Apr 1997 A
5633985 Severson et al. May 1997 A
5637978 Kellett et al. Jun 1997 A
5642031 Brotto Jun 1997 A
5644212 Takahashi Jul 1997 A
5650937 Bounaga Jul 1997 A
5652501 McClure et al. Jul 1997 A
5653659 Kunibe et al. Aug 1997 A
5654623 Shiga et al. Aug 1997 A
5656920 Cherng et al. Aug 1997 A
5661368 Deol et al. Aug 1997 A
5666040 Bourbeau Sep 1997 A
5675234 Greene Oct 1997 A
5677077 Faulk Oct 1997 A
5684678 Barrett Nov 1997 A
5691621 Phuoc et al. Nov 1997 A
5699050 Kanazawa Dec 1997 A
5701089 Perkins Dec 1997 A
5705929 Caravello et al. Jan 1998 A
5707015 Guthrie Jan 1998 A
5710503 Sideris et al. Jan 1998 A
5711648 Hammerslag Jan 1998 A
5712795 Layman et al. Jan 1998 A
5717336 Basell et al. Feb 1998 A
5717937 Fritz Feb 1998 A
5721688 Bramwell Feb 1998 A
5732074 Spaur et al. Mar 1998 A
5739667 Matsuda et al. Apr 1998 A
5744962 Alber et al. Apr 1998 A
5745044 Hyatt, Jr. et al. Apr 1998 A
5747189 Perkins May 1998 A
5747909 Syverson et al. May 1998 A
5747967 Muljadi et al. May 1998 A
5754417 Nicollini May 1998 A
5757192 McShane et al. May 1998 A
5760587 Harvey Jun 1998 A
5772468 Kowalski et al. Jun 1998 A
5773962 Nor Jun 1998 A
5773978 Becker Jun 1998 A
5778326 Moroto et al. Jul 1998 A
5780974 Pabla et al. Jul 1998 A
5780980 Naito Jul 1998 A
5789899 van Phuoc et al. Aug 1998 A
5793359 Ushikubo Aug 1998 A
5796239 van Phuoc et al. Aug 1998 A
5808469 Kopera Sep 1998 A
5811979 Rhein Sep 1998 A
5818234 McKinnon Oct 1998 A
5820407 Morse et al. Oct 1998 A
5821756 McShane et al. Oct 1998 A
5821757 Alvarez et al. Oct 1998 A
5825174 Parker Oct 1998 A
5831435 Troy Nov 1998 A
5832396 Moroto et al. Nov 1998 A
5850113 Weimer et al. Dec 1998 A
5862515 Kobayashi et al. Jan 1999 A
5865638 Trafton Feb 1999 A
5871858 Thomsen et al. Feb 1999 A
5872443 Williamson Feb 1999 A
5872453 Shimoyama et al. Feb 1999 A
5883306 Hwang Mar 1999 A
5895440 Proctor et al. Apr 1999 A
5903154 Zhang et al. May 1999 A
5903716 Kimber et al. May 1999 A
5912534 Benedict Jun 1999 A
5914605 Bertness Jun 1999 A
5927938 Hammerslag Jul 1999 A
5929609 Joy et al. Jul 1999 A
5939855 Proctor et al. Aug 1999 A
5939861 Joko et al. Aug 1999 A
5945829 Bertness Aug 1999 A
5946605 Takahisa et al. Aug 1999 A
5950144 Hall et al. Sep 1999 A
5951229 Hammerslag Sep 1999 A
5955951 Wischerop et al. Sep 1999 A
5961561 Wakefield, II Oct 1999 A
5961604 Anderson et al. Oct 1999 A
5969625 Russo Oct 1999 A
5973598 Beigel Oct 1999 A
5978805 Carson Nov 1999 A
5982138 Krieger Nov 1999 A
5990664 Rahman Nov 1999 A
6002238 Champlin Dec 1999 A
6005489 Siegle et al. Dec 1999 A
6005759 Hart et al. Dec 1999 A
6008652 Theofanopoulos et al. Dec 1999 A
6009369 Boisvert et al. Dec 1999 A
6016047 Notten et al. Jan 2000 A
6031354 Wiley et al. Feb 2000 A
6031368 Klippel et al. Feb 2000 A
6037745 Koike et al. Mar 2000 A
6037749 Parsonage Mar 2000 A
6037751 Klang Mar 2000 A
6037777 Champlin Mar 2000 A
6037778 Makhija Mar 2000 A
6046514 Rouillard et al. Apr 2000 A
6051976 Bertness Apr 2000 A
6055468 Kaman et al. Apr 2000 A
6061638 Joyce May 2000 A
6064372 Kahkoska May 2000 A
6072299 Kurle et al. Jun 2000 A
6072300 Tsuji Jun 2000 A
6075339 Reipur et al. Jun 2000 A
6081098 Bertness et al. Jun 2000 A
6081109 Seymour et al. Jun 2000 A
6087815 Pfeifer et al. Jul 2000 A
6091238 McDermott Jul 2000 A
6091245 Bertness Jul 2000 A
6094033 Ding et al. Jul 2000 A
6097193 Bramwell Aug 2000 A
6100670 Levesque Aug 2000 A
6100815 Pailthorp Aug 2000 A
6104167 Bertness et al. Aug 2000 A
6113262 Purola et al. Sep 2000 A
6114834 Parise Sep 2000 A
6136914 Hergenrother et al. Oct 2000 A
6137269 Champlin Oct 2000 A
6140797 Dunn Oct 2000 A
6144185 Dougherty et al. Nov 2000 A
6147598 Murphy et al. Nov 2000 A
6150793 Lesesky et al. Nov 2000 A
6158000 Collins Dec 2000 A
6161640 Yamaguchi Dec 2000 A
6163156 Bertness Dec 2000 A
6164063 Mendler Dec 2000 A
6167349 Alvarez Dec 2000 A
6172483 Champlin Jan 2001 B1
6172505 Bertness Jan 2001 B1
6177737 Palfey et al. Jan 2001 B1
6181545 Amatucci et al. Jan 2001 B1
6191557 Gray et al. Feb 2001 B1
6211651 Nemoto Apr 2001 B1
6215275 Bean Apr 2001 B1
6218805 Melcher Apr 2001 B1
6218936 Imao Apr 2001 B1
6222342 Eggert et al. Apr 2001 B1
6222369 Champlin Apr 2001 B1
D442503 Lundbeck et al. May 2001 S
6225808 Varghese et al. May 2001 B1
6236332 Conkright et al. May 2001 B1
6236949 Hart May 2001 B1
6238253 Qualls May 2001 B1
6242887 Burke Jun 2001 B1
6249124 Bertness Jun 2001 B1
6250973 Lowery et al. Jun 2001 B1
6254438 Gaunt Jul 2001 B1
6259170 Limoge et al. Jul 2001 B1
6259254 Klang Jul 2001 B1
6262563 Champlin Jul 2001 B1
6263268 Nathanson Jul 2001 B1
6271643 Becker et al. Aug 2001 B1
6271748 Derbyshire et al. Aug 2001 B1
6275008 Arai et al. Aug 2001 B1
6285191 Gollomp et al. Sep 2001 B1
6294896 Champlin Sep 2001 B1
6294897 Champlin Sep 2001 B1
6304087 Bertness Oct 2001 B1
6307349 Koenck et al. Oct 2001 B1
6310481 Bertness Oct 2001 B2
6313607 Champlin Nov 2001 B1
6313608 Varghese et al. Nov 2001 B1
6316914 Bertness Nov 2001 B1
6320351 Ng et al. Nov 2001 B1
6323650 Bertness et al. Nov 2001 B1
6324042 Andrews Nov 2001 B1
6329793 Bertness et al. Dec 2001 B1
6331762 Bertness Dec 2001 B1
6332113 Bertness Dec 2001 B1
6346795 Haraguchi et al. Feb 2002 B2
6347958 Tsai Feb 2002 B1
6351102 Troy Feb 2002 B1
6356042 Kahlon et al. Mar 2002 B1
6356083 Ying Mar 2002 B1
6359441 Bertness Mar 2002 B1
6359442 Henningson et al. Mar 2002 B1
6363303 Bertness Mar 2002 B1
RE37677 Irie Apr 2002 E
6377031 Karuppana et al. Apr 2002 B1
6384608 Namaky May 2002 B1
6388448 Cervas May 2002 B1
6392414 Bertness May 2002 B2
6396278 Makhija May 2002 B1
6407554 Godau et al. Jun 2002 B1
6411098 Laletin Jun 2002 B1
6417669 Champlin Jul 2002 B1
6420852 Sato Jul 2002 B1
6424157 Gollomp et al. Jul 2002 B1
6424158 Klang Jul 2002 B2
6437957 Karuppana et al. Aug 2002 B1
6441585 Bertness Aug 2002 B1
6445158 Bertness et al. Sep 2002 B1
6449726 Smith Sep 2002 B1
6456036 Thandiwe Sep 2002 B1
6456045 Troy et al. Sep 2002 B1
6465908 Karuppana et al. Oct 2002 B1
6466025 Klang Oct 2002 B1
6466026 Champlin Oct 2002 B1
6469511 Vonderhaar et al. Oct 2002 B1
6477478 Jones et al. Nov 2002 B1
6495990 Champlin Dec 2002 B2
6497209 Karuppana et al. Dec 2002 B1
6500025 Moenkhaus et al. Dec 2002 B1
6505507 Imao Jan 2003 B1
6507196 Thomsen et al. Jan 2003 B2
6526361 Jones et al. Feb 2003 B1
6529723 Bentley Mar 2003 B1
6531848 Chitsazan et al. Mar 2003 B1
6532425 Boost et al. Mar 2003 B1
6534992 Meissner et al. Mar 2003 B2
6534993 Bertness Mar 2003 B2
6536536 Gass et al. Mar 2003 B1
6544078 Palmisano et al. Apr 2003 B2
6545599 Derbyshire et al. Apr 2003 B2
6556019 Bertness Apr 2003 B2
6566883 Vonderhaar et al. May 2003 B1
6570385 Roberts et al. May 2003 B1
6577107 Kechmire Jun 2003 B2
6586941 Bertness et al. Jul 2003 B2
6597150 Bertness et al. Jul 2003 B1
6599243 Woltermann et al. Jul 2003 B2
6600815 Walding Jul 2003 B1
6611740 Lowrey et al. Aug 2003 B2
6614349 Proctor et al. Sep 2003 B1
6618644 Bean Sep 2003 B2
6621272 Champlin Sep 2003 B2
6623314 Cox et al. Sep 2003 B1
6624635 Lui Sep 2003 B1
6628011 Droppo et al. Sep 2003 B2
6629054 Makhija et al. Sep 2003 B2
6633165 Bertness Oct 2003 B2
6635974 Karuppana et al. Oct 2003 B1
6667624 Raichle et al. Dec 2003 B1
6679212 Kelling Jan 2004 B2
6686542 Zhang Feb 2004 B2
6696819 Bertness Feb 2004 B2
6707303 Bertness et al. Mar 2004 B2
6736941 Oku et al. May 2004 B2
6737831 Champlin May 2004 B2
6738697 Breed May 2004 B2
6740990 Tozuka et al. May 2004 B2
6744149 Karuppana et al. Jun 2004 B1
6745153 White et al. Jun 2004 B2
6759849 Bertness Jul 2004 B2
6771073 Henningson et al. Aug 2004 B2
6777945 Roberts et al. Aug 2004 B2
6781382 Johnson Aug 2004 B2
6784635 Larson Aug 2004 B2
6784637 Raichle et al. Aug 2004 B2
6788025 Bertness et al. Sep 2004 B2
6795782 Bertness et al. Sep 2004 B2
6796841 Cheng et al. Sep 2004 B1
6805090 Bertness et al. Oct 2004 B2
6806716 Bertness et al. Oct 2004 B2
6825669 Raichle et al. Nov 2004 B2
6842707 Raichle et al. Jan 2005 B2
6845279 Gilmore et al. Jan 2005 B1
6850037 Bertness Feb 2005 B2
6871151 Bertness Mar 2005 B2
6885195 Bertness Apr 2005 B2
6888468 Bertness May 2005 B2
6891378 Bertness et al. May 2005 B2
6904796 Pacsai et al. Jun 2005 B2
6906522 Bertness et al. Jun 2005 B2
6906523 Bertness et al. Jun 2005 B2
6906624 McClelland et al. Jun 2005 B2
6909287 Bertness Jun 2005 B2
6909356 Brown et al. Jun 2005 B2
6913483 Restaino et al. Jul 2005 B2
6914413 Bertness et al. Jul 2005 B2
6919725 Bertness et al. Jul 2005 B2
6930485 Bertness et al. Aug 2005 B2
6933727 Bertness et al. Aug 2005 B2
6941234 Bertness et al. Sep 2005 B2
6967484 Bertness Nov 2005 B2
6972662 Ohkawa et al. Dec 2005 B1
6998847 Bertness et al. Feb 2006 B2
7003410 Bertness et al. Feb 2006 B2
7003411 Bertness Feb 2006 B2
7012433 Smith et al. Mar 2006 B2
7058525 Bertness et al. Jun 2006 B2
7081755 Klang et al. Jul 2006 B2
7098666 Patino Aug 2006 B2
7102556 White Sep 2006 B2
7106070 Bertness et al. Sep 2006 B2
7116109 Klang Oct 2006 B2
7119686 Bertness et al. Oct 2006 B2
7120488 Nova et al. Oct 2006 B2
7126341 Bertness et al. Oct 2006 B2
7129706 Kalley Oct 2006 B2
7182147 Cutler et al. Feb 2007 B2
7184905 Stefan Feb 2007 B2
7200424 Tischer et al. Apr 2007 B2
7209850 Brott et al. Apr 2007 B2
7209860 Trsar et al. Apr 2007 B2
7212887 Shah et al. May 2007 B2
7219023 Banke et al. May 2007 B2
7233128 Brost et al. Jun 2007 B2
7235977 Koran et al. Jun 2007 B2
7272519 Lesesky et al. Sep 2007 B2
7339477 Puzio et al. Mar 2008 B2
7446536 Bertness Nov 2008 B2
7453238 Melichar Nov 2008 B2
7657386 Thibedeau et al. Feb 2010 B2
7679325 Seo Mar 2010 B2
7728556 Yano et al. Jun 2010 B2
20010035737 Nakanishi et al. Nov 2001 A1
20020004694 McLeod Jan 2002 A1
20020010558 Bertness et al. Jan 2002 A1
20020021135 Li et al. Feb 2002 A1
20020041175 Lauper et al. Apr 2002 A1
20020044050 Derbyshire et al. Apr 2002 A1
20020118111 Brown et al. Aug 2002 A1
20020171428 Bertness Nov 2002 A1
20020176010 Wallach et al. Nov 2002 A1
20030009270 Breed Jan 2003 A1
20030025481 Bertness Feb 2003 A1
20030036909 Kato Feb 2003 A1
20030040873 Lesesky et al. Feb 2003 A1
20030078743 Bertness et al. Apr 2003 A1
20030088375 Bertness et al. May 2003 A1
20030128036 Henningson et al. Jul 2003 A1
20030169018 Berels et al. Sep 2003 A1
20030184262 Makhija Oct 2003 A1
20030184306 Bertness et al. Oct 2003 A1
20030187556 Suzuki Oct 2003 A1
20030194672 Roberts et al. Oct 2003 A1
20030197512 Miller et al. Oct 2003 A1
20030212311 Nova et al. Nov 2003 A1
20030214395 Flowerday et al. Nov 2003 A1
20040000590 Raichle et al. Jan 2004 A1
20040000891 Raichle et al. Jan 2004 A1
20040000893 Raichle et al. Jan 2004 A1
20040002824 Raichle et al. Jan 2004 A1
20040002825 Raichle et al. Jan 2004 A1
20040002836 Raichle et al. Jan 2004 A1
20040032264 Schoch Feb 2004 A1
20040044452 Bauer et al. Mar 2004 A1
20040049361 Hamdan et al. Mar 2004 A1
20040051533 Namaky Mar 2004 A1
20040051534 Kobayashi et al. Mar 2004 A1
20040054503 Namaky Mar 2004 A1
20040113588 Mikuriya et al. Jun 2004 A1
20040145342 Lyon Jul 2004 A1
20040164706 Osborne Aug 2004 A1
20040178185 Yoshikawa et al. Sep 2004 A1
20040199343 Cardinal et al. Oct 2004 A1
20040227523 Namaky Nov 2004 A1
20040239332 Mackel et al. Dec 2004 A1
20040251876 Bertness et al. Dec 2004 A1
20050007068 Johnson et al. Jan 2005 A1
20050017726 Koran et al. Jan 2005 A1
20050021294 Trsar et al. Jan 2005 A1
20050025299 Tischer et al. Feb 2005 A1
20050043868 Mitcham Feb 2005 A1
20050057256 Bertness Mar 2005 A1
20050102073 Ingram May 2005 A1
20050128083 Puzio et al. Jun 2005 A1
20050159847 Shah et al. Jul 2005 A1
20050168226 Quint et al. Aug 2005 A1
20050173142 Cutler et al. Aug 2005 A1
20050182536 Doyle et al. Aug 2005 A1
20050218902 Restaino et al. Oct 2005 A1
20050254106 Silverbrook et al. Nov 2005 A9
20050256617 Cawthorne et al. Nov 2005 A1
20060012330 Okumura et al. Jan 2006 A1
20060030980 St. Denis Feb 2006 A1
20060089767 Sowa Apr 2006 A1
20060217914 Bertness Sep 2006 A1
20060282323 Walker et al. Dec 2006 A1
20070024460 Clark Feb 2007 A1
20070026916 Juds et al. Feb 2007 A1
20070194791 Huang Aug 2007 A1
20080036421 Seo et al. Feb 2008 A1
20080303528 Kim Dec 2008 A1
20080303529 Nakamura et al. Dec 2008 A1
20100145780 Nishikawa et al. Jun 2010 A1
20100314950 Rutkowski et al. Dec 2010 A1
20110004427 Gorbold et al. Jan 2011 A1
Foreign Referenced Citations (54)
Number Date Country
29 26 716 Jan 1981 DE
19638324 Sep 1996 DE
0 022 450 Jan 1981 EP
0 637 754 Feb 1995 EP
0 772 056 May 1997 EP
0 982 159 Mar 2000 EP
2 749 397 Dec 1997 FR
2 029 586 Mar 1980 GB
2 088 159 Jun 1982 GB
2 246 916 Oct 1990 GB
2 275 783 Jul 1994 GB
2 387 235 Oct 2003 GB
59-17892 Jan 1984 JP
59-17893 Jan 1984 JP
59-17894 Jan 1984 JP
59017894 Jan 1984 JP
59215674 Dec 1984 JP
60225078 Nov 1985 JP
62-180284 Aug 1987 JP
63027776 Feb 1988 JP
03274479 Dec 1991 JP
03282276 Dec 1991 JP
4-8636 Jan 1992 JP
04095788 Mar 1992 JP
04131779 May 1992 JP
04372536 Dec 1992 JP
05211724 Aug 1993 JP
5216550 Aug 1993 JP
7-128414 May 1995 JP
09061505 Mar 1997 JP
10056744 Feb 1998 JP
10232273 Sep 1998 JP
11103503 Apr 1999 JP
2089015 Aug 1997 RU
WO 9322666 Nov 1993 WO
WO 9405069 Mar 1994 WO
WO 9601456 Jan 1996 WO
WO 9606747 Mar 1996 WO
WO 9628846 Sep 1996 WO
WO 9701103 Jan 1997 WO
WO 9744652 Nov 1997 WO
WO 9804910 Feb 1998 WO
WO 9858270 Dec 1998 WO
WO 9923738 May 1999 WO
WO 0016083 Mar 2000 WO
WO 0062049 Oct 2000 WO
WO 0067359 Nov 2000 WO
WO 0159443 Feb 2001 WO
WO 0116614 Mar 2001 WO
WO 0116615 Mar 2001 WO
WO 0151947 Jul 2001 WO
WO 03047064 Jun 2003 WO
WO 03076960 Sep 2003 WO
WO 2004047215 Jun 2004 WO
Related Publications (1)
Number Date Country
20090024266 A1 Jan 2009 US
Provisional Applications (2)
Number Date Country
60950182 Jul 2007 US
60970319 Sep 2007 US