Patent Grant
8055401
The present invention relates generally to vehicle system diagnostics, and in particular to the on-board testing and diagnosis of a transmission auxiliary pump operable for maintaining pressure in a transmission of a hybrid electric vehicle during certain operating modes.
Hybrid electric vehicles or HEV can selectively utilize different energy sources as needed in order to achieve optimal fuel economy. A typical HEV can use an internal combustion engine as a primary vehicle propulsion mechanism, and a high-voltage battery module or energy storage system (ESS) for restarting the engine and/or for electrical propulsion of the HEV. For example, an HEV having a typical full hybrid powertrain can be propelled via purely electrical means up to a threshold speed, with one or more motor/generators drawing power from the ESS as needed. Above the threshold speed, the engine can provide some or all of the required propulsive torque. By way of contrast, an HEV having a limited hybrid powertrain lacks means for electrical propulsion, but retains certain functionality such as regenerative braking capability and the selectively powering off or shutting down of the engine at idle; fuel-saving performance capabilities that are generally shared with the full hybrid design.
The ability of an HEV to automatically shutdown the engine is a capability referred to hereinafter as “Auto Stop” functionality, which allows otherwise wasted fuel to be conserved during certain vehicle conditions. In vehicles having Auto Stop functionality, a motor/generator also referred to as a belt alternator starter (BAS) is used in lieu of a conventional alternator to apply torque to a serpentine belt of the engine whenever a driver signals intent to resume travel from an Auto Stop state. Torque from the BAS can turn the engine for a transient duration until a flow of fuel from the vehicle fuel supply can be restored.
During an Auto Stop state, components normally driven by the engine no longer operate. The main hydraulic pump for transmissions requiring pressurized oil to maintain clutch pressure and air conditioning compressor pumps driven by the engine's serpentine belt are two examples. During an Auto Stop event, a transmission auxiliary pump can be automatically energized in order to provide oil pressure to the transmission that would normally be supplied by the engine-driven transmission pump. Additionally, if the air conditioning (A/C) compressor is driven via the engine's serpentine belt, the A/C compressor is by necessity disabled during the Auto Stop event.
However, under some circumstances it may not be desirable to disable HVAC devices, such as during an active defrost mode, when the ambient temperature and/or humidity is relatively high, and/or when the driver of the HEV manually overrides Auto Stop functionality. The requirement to maintain engine operation for HVAC or other vehicle performance issues can complicate the diagnosing of the transmission auxiliary oil pump since the engine-driven oil pump is operational. Enabling the auxiliary oil pump while the engine is rotating combines the output of both pumps, and does not offer a clear indication of the auxiliary pump's output alone. Conventional methods of diagnosing an auxiliary pump include forcing an Auto Stop event to execute, allowing Auto Stop during all A/C modes, and/or using a pressure switch in conjunction with the HEV ignition to automatically test the auxiliary pump whenever the ignition switch is turned off. Each of these alternatives can be less than optimal, as they each involve either or both of shutting down the engine and the use of additional hardware.
Accordingly, a method is provided for diagnosing a transmission auxiliary pump in a hybrid electric vehicle (HEV) when Auto Stop functionality is prevented, overridden, or when the engine otherwise remains running. Additionally, the method may be used during the shut down or powering off of the HEV without the need for a dedicated pressure switch. Rather than adding dedicated and costly circuitry to measure the electrical power usage of the auxiliary pump alone, the auxiliary pump is instead diagnosed based on a detected change in an electrical power output from an Auxiliary Power Module (APM) as the auxiliary pump is cycled on and off. The electrical power output from the APM feeds the vehicle's auxiliary or low voltage power requirements, and is typically already monitored. The method, which can be executed via an algorithm in accordance with the invention, can diagnose an auxiliary pump electrical load that is too high, a condition that might be indicative of a stalled auxiliary pump or blocked hydraulic passage, or an auxiliary pump electrical load that is too low, e.g., an open or low pressure condition in the auxiliary pump circuit. This level of diagnosis can be accomplished even though there may be many additional, varying electrical loads reflected in the APM output signal.
The method determines the difference in APM power output between a power-on mode and a power-off mode of the auxiliary pump to thereby provide useful signal-to-noise information. The method also rejects influences of other periodic electrical loads in the HEV, which could otherwise alias the auxiliary pump power signal and induce false pass or false fail results while the diagnosis is still in progress. Execution of the method can occur during any suitable HEV operating mode, such as during idle when Auto Stop functionality is prevented, or during powering down of the HEV. The method eliminates the need for execution of a conventional forced Auto Stop event solely for the purpose of diagnosing proper function of the auxiliary pump, thus allowing the automatic or manual override Auto Stop event as needed or desired.
In particular, a method of diagnosing a transmission auxiliary pump in a hybrid electric vehicle (HEV) having an engine and an auxiliary power module (APM) includes detecting a predetermined HEV operating mode during which the engine is running, cycling the auxiliary pump between an on state and an off state during the predetermined HEV operating mode, and determining an electrical output value of the APM during each of the on state and the off state. A control action is executed when the electrical output value, and/or another value determined using the electrical output value, exceeds a corresponding calibrated threshold.
A hybrid electric vehicle (HEV) includes an engine, a transmission configured to receive an input torque from the engine, an auxiliary power module (APM), an auxiliary battery that is electrically connected to the APM, and a transmission auxiliary pump. The APM includes or has access to an algorithm for diagnosing proper function of the auxiliary pump during a predetermined HEV operating mode during which the engine is running. The algorithm determines an electrical output value of the APM, such as an APM power output value, during each of an on state and the off state of the auxiliary pump, and then executes a control action when the electrical output value or another value determined using the electrical output value exceeds a corresponding calibrated threshold.
The above features and advantages and other features and advantages of the present invention are readily apparent from the following detailed description of the best modes for carrying out the invention when taken in connection with the accompanying drawings.
Referring to the drawings wherein like reference numbers correspond to like or similar components throughout the several figures, and beginning with
The HEV 10 includes an electric motor/generator (M/G) 26 that is electrically connected to a high-voltage battery or energy storage system (ESS) 25 via a high-voltage bus or connection 29. The motor/generator 26 is adapted for use in a belt alternator starter (BAS) system. When configured in this manner, the motor/generator 26 can rotate a serpentine belt 19 of the engine 12. When the motor/generator 26 is used in this manner, torque on the belt 19 rotates the output member 20 of the engine 12 as needed after an Auto Stop event, as described below. An air conditioning (A/C) compressor 40 can also be selectively connected to the belt 19 via an internal clutch (not shown), with the A/C compressor 40 driven or energized in conjunction with the belt 19.
Although not shown in
The HEV 10 further includes an auxiliary power module or APM 28 which is electrically connected to the ESS 25 via high-voltage bus 29, and to a low-voltage or auxiliary battery (AUX) 41 via a low-voltage bus 31. The APM 28 can be configured as a DC-DC converter adapted to convert a supply of DC power from a high voltage level to a low voltage level, and vice versa, as determined by an electronic control unit (ECU) 37. That is, the APM 28 is operable for converting a relatively high voltage from the ESS 25 to a lower voltage level suitable for charging the auxiliary battery 41, and for supplying the HEV 10 with low voltage power requirements. The auxiliary battery 41 is a relatively low-voltage device, such as a 12-volt battery, suitable for powering one or more auxiliary systems or accessories 45 aboard the HEV 10, including a transmission auxiliary pump (PAUX) 32. Additional auxiliary systems or accessories 45 can include, by way of example, headlights, interior lights, radio or other audio devices, etc.
Still referring to
Additionally, the ECU 37 can be configured as a general purpose digital computer generally comprising a microprocessor or central processing unit, read only memory (ROM), random access memory (RAM), electrically-programmable read only memory (EPROM), high speed clock, analog to digital (A/D) and digital to analog (D/A) circuitry, and input/output circuitry and devices (I/O), as well as appropriate signal conditioning and buffer circuitry. Any algorithms resident in the ECU 37 or accessible thereby, including the algorithm 100, can be stored in ROM and executed to provide the respective functionality.
As used herein, the term “Auto Stop” refers to the ability of the HEV 10 to selectively shut down or power off the engine 12 when the HEV 10 is at a standstill, such as while waiting at an intersection, in traffic, or when otherwise determined by the ECU 37. In this manner, the HEV 10 is able to minimize idle fuel consumption. During an Auto Stop event, the auxiliary pump 32 can be energized via the APM 28 and the auxiliary battery 41 in order to maintain a sufficient amount of pressure within the transmission 14. The auxiliary pump 32 draws fluid 36 from a reservoir or sump 34, and supplies the fluid 36 under pressure (arrow P) to the transmission 14 via a fluid passage 30. When Auto Stop functionality is automatically or manually disabled, fluid pressure to the transmission 14 is provided via an engine-driven main pump (not shown) in the conventional manner.
The power output of the APM 28 can be monitored to measure, sense, detect, or otherwise determine the APM output voltage (V) and the APM output current (i), from which the ECU 37 can calculate an APM output power. Within the scope of the invention, the ECU 37 includes or has access to an algorithm 100, described below with reference to
The algorithm 100 can diagnose a condition or state in which the load on the APM is too high or too low, which can correspond respectively to a stalled auxiliary pump 32 or an open or low pressure signal to the auxiliary pump 32. The algorithm 100 can therefore run without using a conventional pressure feedback signal when an ignition switch (not shown) is turned off, and without requiring that an Auto Stop event be performed to diagnose operation or performance of the auxiliary pump 32.
Referring to
In the first embodiment, i.e., when the engine 12 is running at idle, a lower fidelity signal may result due to a potentially noisy APM power output, but with the benefit of a greater possible number of sample periods as described below. In the second embodiment, i.e., during shut down or power down mode, signal fidelity can be higher due to a majority of the auxiliary systems 45 being off, but with fewer sample periods being possible without extending the duration of the power down sequence. The two embodiments described hereinabove are exemplary, and are not intended to be mutually exclusive. Therefore, sample data can be drawn during either or both of idle and shut-down as needed, and/or during other suitable modes during which the engine 12 remains running. Regardless of the particular embodiment, if at step 102 it is determined that a predetermined HEV operating mode is not present, the algorithm 100 is finished. Otherwise, the algorithm 100 proceeds to step 104.
At step 104, the algorithm 100 automatically toggles or cycles the power supplied by the auxiliary battery 41 to the auxiliary pump 32 at a predetermined rate, with the rate determining the sample period as used hereinbelow. Step 104 occurs as many times as is needed to collect sufficient sample data for the required number of samples, with at least two on/off cycles required for the collection of a set of on/off data points. The algorithm 100 then proceeds to step 106.
At step 106, a first and a second power output value of the APM 28 are measured, detected, calculated, or otherwise determined with the auxiliary pump 32 being energized or turned on. That is, for each sample period, a pair of power-on measurements P0, P1 are determined, as exemplified below with reference to
At step 108, a third and a fourth power output value of the APM 28 are measured, detected, calculated, or otherwise determined with the auxiliary pump 32 de-energized or turned off. That is, for each sample period, a pair of power-off measurements P2, P3 are determined, again as exemplified below with reference to
At step 110, an absolute value final power difference (ΔPF) according to the formula ΔPF=|ΔPON−ΔPOFF|, with the value of the power-on difference (ΔPON) determined above at step 106 and the value of the power-off difference (ΔPOFF) being determined above at step 108. Once the absolute value of the final power difference (ΔPF) is determined, the algorithm 100 proceeds to step 112.
At step 112, the value of the final power difference (ΔPF) from step 110 is compared to a calibrated confidence value or a threshold value, represented in
However, for exemplary purposes, if while turning on the desired electrical load another electrical load also turns on during the same sample period, the power-on difference (ΔPON) would include both electrical loads, and would therefore be higher than normal. When the desired electrical load is turned off, there would be a resultant power decrease, but the decrease would not match the value of the power-on difference (ΔPON) determined above at step 106. Consequently, the final power difference (ΔPF) signal would be relatively large, as described below with reference to sample C of
Therefore, at step 112, if the final power difference (ΔPF) is less than a predetermined or calibrated threshold (KCONF), this result indicates that the sample data is not aliased by another electrical load being enabled or disabled during the same sample, and the magnitude of the power-on difference (ΔPON) can be used to pass or fail the diagnostic, as described below. If the value of the final power difference (ΔPF) is less than the calibrated threshold (KCONF), the algorithm 100 proceeds to step 115 to determine a pass or fail count. Otherwise, the algorithm 100 proceeds to step 114 because the data is aliased.
At step 114, the algorithm 100 includes increasing or incrementing the value of a sample counter, i.e., a digital or analog counting device that records or stores an integer value corresponding to the total executed number of prior test cycles or data samples. The algorithm 100 then proceeds to step 114A, wherein the present value of the sample counter is compared to a threshold number of samples. If the present value exceeds the threshold number of samples, the algorithm 100 proceeds to step 119 to check for a diagnostic fail. If the sample counter does not exceed the threshold number of samples, the algorithm 100 is finished until the next sample occurs.
At step 115, the value of the power-on difference (ΔPON) from step 106 is compared to a threshold lower limit, represented in
At step 116, the algorithm 100 increases or increments the value of a fail counter, i.e., a digital or analog counting device that records or stores a value corresponding to the number of test cycles or data samples resulting in a failing value. The algorithm 100 then proceeds to step 114 described above.
At step 118, the value of the power-on difference (ΔPON) from step 106 is compared to a threshold upper limit, represented in
At step 119, the present value of the fail counter can be compared to a predetermined threshold number. If the fail counter exceeds the predetermined threshold number, the algorithm 100 proceeds to step 120. Otherwise, the algorithm 100 proceeds to step 122 to determine if a sufficient number of pass counts have occurred to indicate a diagnostic pass.
At step 120, the algorithm 100 executes a suitable control action (CONTROL ACTIONF) in response to a determination at step 119 that a predetermined or calibrated maximum number of failed diagnoses samples have occurred. That is, when the fail counter incremented at step 116 finally reaches a predetermined maximum number, one or more suitable control actions can be automatically executed. For example, a diagnostic fault code can be recorded that can be accessed by a technician during maintenance of the HEV 10 in order to facilitate corrective action. The pass, fail, and sample counts are reset at this point. Algorithm 100 is then finished until the next sample occurs.
At step 121, the algorithm 100 increases or increments the value of a pass counter, i.e., a digital or analog counting device that records or stores a value corresponding to the number of test cycles or data samples resulting in a passing value. The algorithm 100 then proceeds to step 114.
At step 122, the present value of the pass counter can be compared to a predetermined threshold number. If the pass counter exceeds the predetermined threshold number, the algorithm 100 proceeds to step 124. Otherwise, the diagnostic is indeterminate, the prerequisite number of samples have been logged, but neither number of fail or pass samples have been accrued. This condition will occur if many of the samples are discarded because they are aliased. In response, the algorithm 100 proceeds to step 123. Otherwise, the algorithm 100 proceeds to step 124.
At step 123, the pass, fail, and sample counts are reset. Algorithm 100 is then finished until the next sample occurs.
At step 124, the algorithm 100 executes a suitable control action (CONTROL ACTIONP) in response to a determination at step 122 that a predetermined or calibrated maximum number of passed diagnoses samples have occurred. That is, when the pass count or pass sample counter reaches a predetermined maximum number and ratio of the values of the pass counter and sample counter is greater than a threshold, one or more suitable passing control actions can be automatically executed. For example, the diagnostic may be passed and previously logged failure may be cleared. If the number of sample counts exceeds the threshold but the ratio is not greater than the threshold, the diagnostic state is indeterminant. For this condition, the sample, fail and pass counts may all be reset. Algorithm 100 is then finished until the next sample occurs.
Alternately, the diagnostic fault code can be automatically transmitted as a signal (arrow S) to a remote location 52 via an optional vehicle telematics unit 50, as shown in phantom in
Referring to
Sample A describes a “normal” or expected result in a typical system that does not include an additional load change near the sample periods. APM output power at point 70 is at a minimum with the auxiliary pump 32 off. At t=0, the auxiliary pump 32 is turned on, and APM output power value rises to the level of point 72 at t=1. Points 70 and 72 therefore represent the first and second data points measured with the auxiliary pump 32 turned on. The difference between these values is the power-on difference (ΔPON) determined at step 106 and described above with reference to
Sample B describes a scenario in which an additional electrical load is placed on the APM 28, but not during the sample periods. APM output power at point 170 is at a minimum with the auxiliary pump 32 turned off. At t0, the auxiliary pump 32 is turned on, and APM output power rises to the level of point 172 at t1. Points 170 and 172 therefore represent the first and second data points measured with the auxiliary pump 32 turned on, and with an additional load on the APM 28 in addition to the auxiliary pump 32. Sometime after t1, but before t2, an additional electrical load is disabled resulting in a net power decrease at the APM 28. The power off data points are likewise represented by points 174 and 176, when the auxiliary pump 32 is turned off starting at t=2, as was the case with sample A. A comparison in the changes in power, i.e., arrows E1 and E2, shows a final change (ΔPF) that is approximately the same as that represented in sample A, i.e., the load change did not occur during the sample period and the data is not aliased, and can be used for further diagnosis of the auxiliary pump 32.
Sample C describes an example of an additional load change occurring during the sample period, resulting in aliased data. APM power output at point 270 is at a minimum with the auxiliary pump 32 off. At t0, the APM 28 output power is sampled and the auxiliary pump 32 is commanded on. Sometime after t0, but before t1, an additional load is turned on within the low voltage system of the HEV 10. Points 270 and 272 therefore represent the first and second data points measured with the auxiliary pump 32 turned on, and include an additional load on the APM 28 in conjunction with the auxiliary pump 32 load. The power off data points are likewise represented by points 274 and 276, when the auxiliary pump 32 is turned off starting at t=2, as was the case with samples A and B. The additional load turned on between t0 and t1 remains on. A comparison of arrows F1 and F2 of sample C shows a wide variance, which can result in a value of ΔPF>threshold, indicating aliased data. This test would not be used to determine pass or fail counts, but only to increment the sample counter.
As a numeric example, using the formula P=V2/R, an APM voltage signal of 12 volts and an auxiliary pump 32 load resistance of 2 ohms produces an expected power-on difference (ΔPON) of (122)/2=72 W. An exemplary permissible range of ±10% would provide a threshold of [64.8 W-79.2 W] for a pump drawing the expected load. If the value of the power-on difference (ΔPON) falls below this range, the auxiliary pump 32 provides too high of a resistance, i.e., power draw is too low, or may even be disconnected, i.e., a first type of failure. If the value of ΔPON falls above this range, the auxiliary pump 32 provides too low of a resistance. Such a result could indicate an electrical short, or that the rotor of the auxiliary pump 32 is stalled, i.e., a second type of failure.
Using the algorithm 100 of
While the best modes for carrying out the invention have been described in detail, those familiar with the art to which this invention relates will recognize various alternative designs and embodiments for practicing the invention within the scope of the appended claims.
| Number | Name | Date | Kind |
|---|---|---|---|
| 7267090 | Tamai et al. | Sep 2007 | B2 |
| 7465250 | Tamai et al. | Dec 2008 | B2 |
| 7497800 | Sakata et al. | Mar 2009 | B2 |
| 7544151 | Zettel et al. | Jun 2009 | B2 |
| 7556120 | Sah et al. | Jul 2009 | B2 |
| 20090024264 | Aldrich et al. | Jan 2009 | A1 |
| 20090112421 | Sah et al. | Apr 2009 | A1 |
| 20090118954 | Wu et al. | May 2009 | A1 |
| 20090192685 | Sime | Jul 2009 | A1 |
| 20100217470 | Aldrich et al. | Aug 2010 | A1 |
| 20100279816 | Soliman | Nov 2010 | A1 |
| 20100288570 | Tarnowsky et al. | Nov 2010 | A1 |
| 20110106351 | Sah et al. | May 2011 | A1 |
| 20110144846 | Zollner et al. | Jun 2011 | A1 |
| Number | Date | Country | |
|---|---|---|---|
| 20100191402 A1 | Jul 2010 | US |
