Stabilized real time trajectory optimization for hybrid energy management utilizing connected information technologies

Patent metadata

Field	Value
Publication number	US-11254302-B2
Application number	US-202016883253-A
Country	US
Kind code	B2
Filing date	May 26, 2020
Priority date	May 26, 2020
Publication date	Feb 22, 2022
Grant date	Feb 22, 2022

Abstract

A vehicle control method in a hybrid electric vehicle including an internal combustion engine, a battery, an electric motor, and a control unit. The method includes estimating an estimated vehicle velocity trajectory, estimating an initial engine power trajectory, simulating state of charge of the battery with the vehicle velocity trajectory and the initial engine power trajectory, estimating an initial terminal co-state value, simulating backward co-state dynamics using the state of charge and vehicle velocity trajectory, to obtain a resulting co-state trajectory. The co-state trajectory is used to solve a minimization control and propagate state of charge dynamics forward in time. The method includes updating control and the co-state trajectory, adjusting the terminal co-state value, and controlling a usage of the battery and the internal combustion engine. The method can be performed to optimize the engine power trajectory to minimize fuel consumption in real time.

First claim

The invention claimed is:

1. A hybrid electric vehicle, comprising:
an internal combustion engine;
a battery;
an electric motor operatively coupled to the battery; and
an electronic control unit configured to:
estimate a vehicle velocity trajectory,
estimate an initial engine power trajectory,
simulate state of charge of the battery with the estimated vehicle velocity trajectory and the initial engine power trajectory, and store the state of charge and the estimated vehicle velocity trajectory,
estimate an initial terminal co-state value,
simulate backward co-state dynamics using the saved state of charge and the estimated vehicle velocity trajectory, and store a resulting co-state trajectory,
use the stored co-state trajectory to solve a minimization control and propagate state of charge dynamics forward in time, and update control and the co-state trajectory,
adjust the terminal co-state value to reduce a residual for a terminal condition, and
apply the updated control to control a usage of the battery and the internal combustion engine.

2. The hybrid electric vehicle of claim 1 , wherein the solving the minimization control includes a cost of cranking the engine from an off state to an on state.

3. The hybrid electric vehicle of claim 1 , wherein the solving the minimization control includes a filter to smooth an on-off transition of the engine.

4. The hybrid electric vehicle of claim 1 , wherein a terminal state of charge of the battery is zero.

5. The hybrid electric vehicle of claim 2 , wherein the cost of cranking includes a time required to crank the engine indicated as a time lag.

6. The hybrid electric vehicle of claim 1 , wherein every predetermined time period, the state of charge of the battery is sampled and a single shot through the minimization control is performed including simulating co-state backward propagation, propagate state of charge dynamics forward in time, and adjust terminal co-state.

7. The hybrid electric vehicle of claim 1 , wherein the cost of cranking the engine includes a cost of fuel in volume to turn on the engine.

8. The hybrid electric vehicle of claim 1 , wherein the minimization control includes minimizing the fuel usage rate.

9. The hybrid electric vehicle of claim 1 , wherein the vehicle is a self-driving vehicle,
wherein the vehicle includes a car following control, and
wherein the car following control includes a speed controller that controls vehicle speed based on the speed of a preceding vehicle.

10. The hybrid electric vehicle of claim 9 , wherein the speed controller controls vehicle speed at a speed that maximizes fuel conservation.

11. A method of control of a hybrid electric vehicle, including an internal combustion engine, a battery, an electric motor operatively coupled to the battery, and an electronic control unit, the method, performed by the electronic control unit, comprising:
estimating a vehicle velocity trajectory;
estimating an initial engine power trajectory,
simulating state of charge of the battery with the estimated vehicle velocity trajectory, the initial engine power trajectory, and storing the state of charge and the estimated vehicle velocity trajectory;
estimating an initial terminal co-state value;
simulating backward co-state dynamics using the saved state of charge and the estimated vehicle velocity trajectory, and storing a resulting co-state trajectory;
using the stored co-state trajectory to solve a minimization control and propagate state of charge dynamics forward in time, and updating control and the co-state trajectory;
adjusting the terminal co-state value to reduce a residual for a terminal condition; and
applying the updated control to control a usage of the battery and the internal combustion engine.

12. The method of claim 11 , wherein the solving the minimization control includes a cost of cranking the engine from an off state to an on state.

13. The method of claim 11 , wherein the solving the minimization control includes a filter to smooth an on-off transition of the engine.

14. The method of claim 11 , wherein a terminal state of charge of the battery is zero.

15. The method of claim 12 , wherein the cost of cranking includes a time to crank the engine indicated as a time lag.

16. The method of claim 11 , further comprising, every predetermined time period, sampling the state of charge of the battery and performing a single shot through the minimization control including simulating co-state backward propagation, propagating state of charge dynamics forward in time, and adjusting terminal co-state.

17. The method of claim 11 , wherein the cost of cranking the engine includes a cost of fuel in volume to turn on the engine.

18. The method of claim 11 , wherein the minimization control includes minimizing the fuel usage rate.

19. The method of claim 11 , wherein the vehicle is a self-driving vehicle, and wherein the vehicle includes a car following control, wherein the car following control includes a speed controller, the method further comprising controlling vehicle speed, by the speed controller, based on the speed of a preceding vehicle.

20. The method of claim 19 , wherein the controlling the vehicle speed includes controlling the vehicle speed at a speed that maximizes fuel conservation.

Assignees

• Toyota Eng & Mfg North America
• Univ Michigan Regents

Inventors

• Huang Mike X
• Chen Di

Classifications

• Y02T10/64

  Electric machine technologies in electromobility · CPC title

• Y02T90/16

  Information or communication technologies improving the operation of electric vehicles · CPC title

• Y02T10/72

  Electric energy management in electromobility · CPC title

• Y02T10/7072

  Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors · CPC title

• Y02T10/62

  Hybrid vehicles · CPC title