Hybrid energy storage system optimization strategy with intelligent adaptive control
US-2021245607-A1 · Aug 12, 2021 · US
US11679752B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11679752-B2 |
| Application number | US-202017128594-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 21, 2020 |
| Priority date | Dec 21, 2020 |
| Publication date | Jun 20, 2023 |
| Grant date | Jun 20, 2023 |
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A hybrid electric vehicle and method of its control include a parallel hybrid powertrain including an engine, a transmission, a battery system, a first electric motor coupled to the engine by a first clutch between the engine and the first electric motor, a second electric motor coupled to the transmission and to the first electric motor by a second clutch between the first and second electric motors, and a controller configured to control the parallel hybrid powertrain for optimal operation across a plurality of different propulsion and charging modes, including calculating cost values for each of the engine and the first and second electric motors and selecting optimal propulsion and charging modes based on the calculated cost values.
Opening claim text (preview).
What is claimed is: 1. A hybrid electric vehicle, comprising: a parallel hybrid powertrain comprising: an engine; a transmission; a battery system; a first electric motor coupled to the engine by a first clutch between the engine and the first electric motor; a second electric motor coupled to the transmission and to the first electric motor by a second clutch between the first and second electric motors; and a controller configured to control the parallel hybrid powertrain for optimal operation across a plurality of different propulsion and charging modes, including calculating cost values for each of the engine and the first and second electric motors and selecting optimal propulsion and charging modes based on a minimum cost value calculated using a minimum cost equation based on the calculated cost values and a set of at least one of penalty factors and penalty functions relating to an electricity power change, a torque change rate, engine start-stop frequency, transmission shift frequency, and thermal states relative to overheating, wherein the controller is configured to determine the minimum cost value min(J) using the following equation: min( J )=∫ 0 t E ICE +ƒ pen E battery +F ICE_control +F ICE_StartStop +F shift +F thermal dt where E ICE is a fuel consumption rate of the engine, E battery is a total electricity power change of the battery system, ƒ pen is a multiplier penalty factor used to tune the weight of the electricity power change, F ICE_control is a penalty function as torque change rate to consider a controllability of engine torque, F ICE_StartStop is a penalty function to consider a drivability cost of engine start-stop, F shift is a penalty function to consider a drivability cost of a transmission shift, and F thermal is a penalty function to consider thermal states of the parallel hybrid powertrain to avoid overheating. 2. The hybrid electric vehicle of claim 1 , wherein the controller is configured to execute a launch procedure whereby the vehicle is launched using only the second electric motor for propulsive torque. 3. The hybrid electric vehicle of claim 2 , wherein the launch procedure further comprises the controller speed matching the engine with at least one of the first and second electric motors. 4. The hybrid electric vehicle of claim 1 , wherein the controller is further configured to control the parallel hybrid powertrain to operate in a charge sustaining mode or a charge depletion mode for the battery system. 5. The hybrid electric vehicle of claim 1 , wherein optimization of the minimum cost function equation is subject to the following constraints: P pwt =P demand 0≤ P ICE ≤P ICE_max P P1R_min ≤P P1R ≤P P1R_max P P2_min ≤P P2 ≤P P2_max SOC min ≤SOC≤SOC max I min ≤I≤I max T pwt_min ≤T pwt ≤T pwt_max where P pwt is a total powertrain propulsion power, P demand is a driver's power demand, constraints on the engine fuel consumption rate E ICE include (i) P ICE , an engine power determined by supervisory power management and (ii) P ICE_max , a maximum engine power at the given operation conditions, constraints on the battery system total electricity power change include (i) P P1R_min and P P1R_max , maximum first electric motor charging and driving powers at the given operation conditions, respectively, (ii) P P2_min and P P2_max , the maximum second electric motor charging and driving powers at the given operation conditions, respectively, (iii) SOC, the battery system state of charge relative lower and upper bounds SOC min and SOC max , respectively, and (iv) I, the battery system charge and discharge current relative to lower and upper bounds I min and I max , respectively, and T pwt is the powertrain torque relative to lower and upper bounds T pwt_min and T pwt_max , respectively. 6. The hybrid electric vehicle of claim 1 , wherein the transmission does not include a torque converter. 7. The hybrid electric vehicle of claim 1 , wherein the controller is configured to start the engine using the first electric motor. 8. The hybrid electric vehicle of claim 7 , wherein the engine does not include a starter. 9. A method of optimally controlling a parallel hybrid powertrain of a hybrid electric vehicle, the method comprising: providing the parallel hybrid powertrain, the parallel hybrid powertrain comprising: an engine; a transmission; a battery system; a first electric motor coupled to the engine by a first clutch between the engine and the first electric motor; a second electric motor coupled to the transmission and to the first electric motor by a second clutch between the first and second electric motors; controlling, by a controller of the hybrid electric vehicle, the parallel hybrid powertrain for optimal operation across a plurality of different propulsion and charging modes, including calculating cost values for each of the engine and the first and second electric motors and selecting optimal propulsion and charging modes based on a minimum cost value calculated using a minimum cost equation based on the calculated cost values and a set of at least one of penalty factors and penalty functions relating to an electricity power change, a torque change rate, engine start-stop frequency, transmission shift frequency, and thermal states relative to overheating; and determining, by the controller, the minimum cost value min(J) using the following equation: min( J )=∫ 0 t E ICE +ƒ pen E battery +F ICE_control +F ICE_StartStop +F shift +F thermal dt where E ICE is a fuel consumption rate of the engine, E battery is a total electricity power change of the battery system, ƒ pen is a multiplier penalty factor used to tune the weight of the electricity power change, F ICE_control is a penalty function as torque change rate to consider a controllability of engine torque, F ICE_StartStop is a penalty function to consider a drivability cost of engine start-stop, F shift is a penalty function to consider a drivability cost of a transmission shift, and F thermal is a penalty function to consider thermal states of the parallel hybrid powertrain to avoid overheating. 10. The method of claim 9 , further comprising executing, by the controller, a launch procedure whereby the vehicle is launched using only the second electric motor for propulsive torque. 11. The method of claim 10 , wherein the launch procedure further comprises speed matching, by the controller, the engine with at least one of the first and second electric motors. 12. The method of claim 9 , further comprising controlling, by the controller, the parallel hybrid powertrain to operate in a charge sustaining mode or a charge depletion mode for the battery system. 13. The method of claim 9 , wherein optimization of the minimum cost function equation is subject to the following constraints: P pwt =P demand 0≤ P ICE ≤P ICE_max P P1R_min ≤P P1R ≤P P1R_max P P2_min ≤P P2 ≤P P2_max SOC min ≤SOC≤SOC max I min ≤I≤I max T pwt_min ≤T pwt ≤T pwt_max where P pwt is a total powertrain propulsion power, P demand is a driver's power demand, constraints on the engine fuel consumption rate E ICE include (i) P ICE , an engine power determined by supervisory power management and (ii) P ICE_max , a maximum engine power at the given operation conditions, constraints on the battery system total electricity power change include (i) P P1R_min and P P1R_max , maximu
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