# US 8,751,087 B1 · Hybrid vehicle system loss learning

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 8,751,087 B1
- Document ID: US8751087B1
- Status: Granted
- Kind: B1
- Application number: 13/789,534
- Filed: 2013-03-07
- Granted: 2014-06-10
- Earliest claimed: 2013-03-07
- Assignees: Toyota Motor Engineering & Manufacturing North America, Inc.
- Applicants: Toyota Motor Engineering & Manufacturing North America, Inc.
- Inventors: Mohammad E. Dufford
- Web page: https://patentgrep.com/patent/US8751087B1

## CPC

- B60W 20/00: Control systems specially adapted for hybrid vehicles {(hybrid vehicle design, B60K6/00; electric vehicles B60L)}
- B60K 6/445: Differential gearing distribution type
- B60W 10/06: including control of combustion engines
- B60W 10/105: of electric type
- B60W 20/15: Control strategies specially adapted for achieving a particular effect
- B60W 30/1882: {characterised by the working point of the engine, e.g. by using engine output chart}
- B60W 2710/0644: Engine speed
- Y02T 10/62: Hybrid vehicles
- Y02T 10/84: Data processing systems or methods, management, administration
- Y10S 903/903: having energy storing means, e.g. battery, capacitor
- B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60K: ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y10S: TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS

## 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

### Claim 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.

### Claim 2 (depends on 1)

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

### Claim 3 (depends on 1)

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.

### Claim 4 (depends on 1)

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.

### Claim 5 (depends on 1)

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.

### Claim 6 (depends on 5)

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.

### Claim 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.

### Claim 8 (depends on 7)

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.

### Claim 9 (depends on 7)

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.

### Claim 10 (depends on 7)

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.

### Claim 11 (depends on 7)

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.

### Claim 12 (depends on 11)

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.

### Claim 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.

### Claim 14 (depends on 13)

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.

### Claim 15 (depends on 13)

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.

### Claim 16 (depends on 13)

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

### Claim 17 (depends on 13)

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.

### Claim 18 (depends on 17)

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

### Claim 19 (depends on 17)

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

### Claim 20 (depends on 17)

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.

### Claim 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.