SYSTEMS AND METHODS FOR DETERMINING THE STATE OF CHARGE OF A BATTERY UTILIZING CONFIDENCE VALUES

• US 20120290235A1
• Filed: 05/13/2011
• Published: 11/15/2012
• Est. Priority Date: 05/13/2011
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Schaefer, Sascha, Koenekamp, Andreas
• Granted Patent: US 8,645,088 B2
• Time in Patent Office: Days
• US Class Current: 702/63
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/3842 combining voltage and current measurements
• CPC Class Codes: H01M 10/4257 Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
• CPC Class Codes: H01M 10/48 Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569
• CPC Class Codes: H01M 10/486 for measuring temperature
• CPC Class Codes: H01M 2220/20 Batteries in motive systems, e.g. vehicle, ship, plane
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

Systems and methods to determine a state of charge (SOC) of a battery using confidence values. SOC estimations are determined using a voltage-based estimation strategy and a current-based estimation strategy. Confidence values are also generated for the voltage-based SOC estimation and the current-based SOC estimation to quantify the amount of uncertainty associated with the SOC estimations. An overall SOC estimation is determined by comparing the confidence values and selecting the SOC estimation having the least amount of uncertainty.

Claims

1. A method for determining a state of charge of a vehicle battery comprising:

receiving, at a processor, sensor data indicative of a voltage, current, and temperature of the battery;

determining a first state of charge value using a voltage-based strategy on the sensor data;

calculating a first confidence value for the first state of charge value;

determining a second state of charge value using a current-based strategy on the sensor data;

calculating a second confidence value for the second state of charge value;

comparing the first confidence value and second confidence value;

selecting between the first state of charge value and the second state of charge value based on the comparison; and

storing the selected state of charge value in a memory as an overall state of charge value.

2. The method of claim 1, wherein the first confidence value is calculated using the tolerance of a voltage sensor, the rest time of the battery, and the diffusion constant of the battery.

3. The method of claim 1, wherein the second confidence value is calculated using the tolerance of a current sensor.

4. The method of claim 1, further comprising providing the overall state of charge value to a display device.

5. The method of claim 1, wherein the voltage-based strategy uses linear regression to determine an open circuit voltage value.

6. The method of claim 1, further comprising calculating an asymmetric confidence range for the first state of charge value based in part on the first confidence value.

7. A system for determining a state of charge of a vehicle battery comprising:

an interface configured to receive sensor data from a voltage sensor, a current sensor, and a temperature sensor connected to the battery;

a voltage-based state of charge generator configured to generate a first state of charge value using a voltage-based strategy on the sensor data;

a voltage-based confidence value generator configured to calculate a first confidence value for the first state of charge value;

a current-based state of charge generator configured to generate a second state of charge value using a current-accumulation strategy on the sensor data;

a current-based confidence value generator configured to calculate a second confidence value for the second state of charge value;

a confidence value evaluator configured to compare the first confidence value and second confidence value, and

a state of charge storage configured to store the first or the second state of charge value as an overall state of charge value, based on the comparison.

8. The system of claim 7, further comprising:

a battery rest timer configured to determine a rest time of the battery; and

wherein the voltage-based confidence value generator is configured to calculate the first confidence value using a tolerance of the voltage sensor, the rest time of the battery, and a diffusion constant of the battery.

9. The system of claim 8, wherein the current-based confidence value generator is configured to calculate the second confidence value using a tolerance of the current sensor.

10. The system of claim 7, further comprising an interface configured to provide the overall state of charge value to a display device.

11. The system of claim 7, wherein the voltage-based state of charge generator uses linear regression to determine the first state of charge value.

12. The system of claim 7, wherein the voltage-based state of charge generator uses a direct voltage measurement to determine the first state of charge value.

13. The system of claim 7, wherein the voltage-based state of charge generator uses both linear regression and a direct voltage measurement to determine the first state of charge value.

14. A system for determining a state of charge of a vehicle battery comprising:

a vehicle battery;

a temperature sensor configured to measure a temperature of the battery;

a current sensor configured to measure a current of the battery;

a voltage sensor configured to measure a voltage of the battery;

a memory storing one or more state of charge values for the battery; and

a processor coupled to the memory and configured to;

receive sensor data from the sensors indicative of a voltage, current, and temperature of the battery;

determine a first state of charge value using a voltage-based strategy on the sensor data;

calculate a first confidence value for the first state of charge value;

determine a second state of charge value using a current-based strategy on the sensor data;

calculate a second confidence value for the second state of charge value;

compare the first confidence value and second confidence value;

select between the first state of charge value and the second state of charge value based on the comparison; and

store the selected state of charge value in the memory as an overall state of charge value.

15. The system of claim 14, wherein the memory further stores a tolerance of the voltage sensor, a rest time of the battery, and a diffusion constant of the battery;

and wherein the processor is further configured to calculate the first confidence value using the tolerance of the voltage sensor, the rest time of the battery, and the diffusion constant of the battery.

16. The system of claim 14, wherein the memory further stores a tolerance of the current sensor;

and wherein the processor is further configured to calculate the second confidence value using the tolerance of the current sensor.

17. The system of claim 14, wherein the processor is further configured to provide the overall state of charge value to a display device.

18. The system of claim 14, wherein the voltage-based strategy uses linear regression to determine the first state of charge value.

19. The system of claim 14, wherein the processor is further configured to determine an asymmetric confidence range for the first and the second state of charge value, and configured to use the asymmetric confidence range to select between the first state of charge value and the second state of charge value.

20. The system of claim 14, wherein the battery is a lithium-iron-phosphate battery.