Hybrid vehicle system loss learning

• US 8,751,087 B1
• Filed: 03/07/2013
• Issued: 06/10/2014
• Est. Priority Date: 03/07/2013
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Motor Engineering & Manufacturing North America Incorporated (Toyota Motor Corporation)
• Inventors: Dufford, Mohammad E.
• Primary Examiner(s): Marc, McDieunel
• Application Number:
  US13/789,534
• Time in Patent Office: 460 Days
• Field of Search: 701/1, 701/2, 701/22, 701/29, 701/29.6, 701/33.6, 701/54, 701/31.4, 385/24, 117/1, 222/25.13, 431/86, 398/141, 700/97, 180/65.23, 318/479
• US Class Current: 701/22
• CPC Class Codes: B60K 6/445 Differential gearing distribution type
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/105 of electric type
• CPC Class Codes: B60W 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• CPC Class Codes: B60W 20/15 Control strategies specially adapted for achieving a particular effect
• CPC Class Codes: B60W 2710/0644 Engine speed
• CPC Class Codes: B60W 30/1882 characterised by the working point of the engine, e.g. by using engine output chart
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration
• CPC Class Codes: Y10S 903/903 having energy storing means, e.g. battery, capacitor

Abstract

A system and method for hybrid vehicle system loss learning. A hybrid vehicle includes an engine, a motor-generator, a battery, a battery module configured to measure a battery power of the battery, a memory configured to store system loss data including engine speed adjustments corresponding to vehicle speeds and power requests, and a processor configured to determine a system loss for a vehicle speed and a power request, apply an engine speed adjustment based on the system loss data, and store the engine speed adjustment and a post-adjustment system loss in the system loss data when the engine speed adjustment improves the system loss. The hybrid vehicle stores data on system losses and relevant conditions such as vehicle speed and power requests. The hybrid vehicle can improve the engine speed adjustment from successive adjustments for those conditions based on the stored data.

Claims

1. A system for hybrid vehicle system loss learning comprising:

an engine;

a motor-generator;

a battery;

a battery module configured to measure a battery power of the battery;

a memory configured to store system loss data including engine speed adjustments corresponding to vehicle speeds and power requests; and

a processor configured to determine a system loss for a vehicle speed and a power request, compare the system loss with an expected loss for the vehicle speed and the power request, apply an engine speed adjustment based on the system loss data, and store the engine speed adjustment and a post-adjustment system loss in the system loss data when the engine speed adjustment improves the system loss.

2. The system of claim 1, wherein the battery module measures the battery power based on a current and/or a voltage of the battery.

3. The system of claim 1, wherein the processor is further configured to determine the system loss by comparing a battery power command with a measured battery power output.

4. The system of claim 1, wherein the system loss data further comprises a map of learned system losses corresponding to the vehicle speeds and the power requests.

5. The system of claim 1, wherein the system loss data further comprises a map of engine speed adjustments corresponding to the vehicle speeds and the power requests.

6. The system of claim 5, wherein the processor is further configured to store the engine speed adjustment in the map based on the vehicle speed and the power request.

7. A hybrid vehicle comprising:

an engine;

a motor-generator;

a battery;

a battery module configured to measure a battery power of the battery; and

a hybrid controller module configured to store system loss data including engine speed adjustments corresponding to vehicle speeds and power requests, determine a system loss for a vehicle speed and a power request, compare the system loss with an expected loss for the vehicle speed and the power request, apply an engine speed adjustment based on the system loss data, and store the engine speed adjustment and a post-adjustment system loss in the system loss data when the engine speed adjustment improves the system loss.

8. The hybrid vehicle of claim 7, wherein the battery module measures the battery power based on a current and/or a voltage of the battery.

9. The hybrid vehicle of claim 7, wherein the hybrid controller module is further configured to determine the system loss by comparing a battery power command with a measured battery power output.

10. The hybrid vehicle of claim 7, wherein the system loss data further comprises a map of learned system losses corresponding to the vehicle speeds and the power requests.

11. The hybrid vehicle of claim 7, wherein the system loss data further comprises a map of engine speed adjustments corresponding to the vehicle speeds and the power requests.

12. The hybrid vehicle of claim 11, wherein the hybrid controller module is further configured to store the engine speed adjustment in the map based on the vehicle speed and the power request.

13. A method for long-term system loss learning in a hybrid vehicle comprising:

determining, using a processor, a system loss for a vehicle speed and a power request;

comparing, using the processor, the vehicle speed and the power request with system loss data including engine speed adjustments corresponding to vehicle speeds and power requests;

determining, using the processor, an engine speed adjustment based on the system loss data;

applying the engine speed adjustment;

determining, using the processor, a post-adjustment system loss; and

storing, in a memory, the engine speed adjustment and the post-adjustment system loss in the system loss data when the post-adjustment system loss is an improvement over the system loss.

14. The method of claim 13, wherein the storing the engine speed and the system loss further comprises storing, in the memory, the vehicle speed and the power request.

15. The method of claim 13, wherein the determining the system loss further comprises comparing, using the processor, the battery power command with an actual battery power.

16. The method of claim 13, wherein the determining the engine speed adjustment further comprises shifting an engine speed until the system loss is improved.

17. The method of claim 13, wherein the system loss data includes a map of the engine speed adjustments for the vehicle speeds and the power requests.

18. The method of claim 17, wherein the map is initialized with predetermined values.

19. The method of claim 17, wherein the map is initialized with 0 values.

20. The method of claim 17, wherein the determining the engine speed adjustment further comprises, using the processor, looking up a stored engine speed adjustment from the map.

21. A system for hybrid vehicle system loss learning comprising:

an engine;

a motor-generator;

a battery;

a battery module configured to measure a battery power of the battery;

a memory configured to store system loss data including engine speed adjustments corresponding to vehicle speeds and power requests; and

a processor configured to

determine a system loss for a vehicle speed and a power request,

compare the system loss with an expected loss for the vehicle speed and the power request,

apply an engine speed adjustment based on the stored system loss data, and

perform at least one of updating the system loss data or storing additional system loss data in the memory.