METHOD AND APPARATUS FOR ESTIMATING BATTERY LIFE

• US 20160209472A1
• Filed: 01/21/2015
• Published: 07/21/2016
• Est. Priority Date: 01/21/2015
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd., North Carolina State University (University of North Carolina System)
• Original Assignee: Samsung Electronics Co. Ltd., North Carolina State University (University of North Carolina System)
• Inventors: RAHIMI EICHI, Habiballah, CHOW, Mo-Yuen, YEO, Taejung, JEON, Paul Barom
• Granted Patent: US 10,401,433 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60K 2360/174 Economic driving
• CPC Class Codes: B60K 35/215 characterised by the combination of multiple visual outputs, e.g. combined instruments with analogue meters and additional displays
• CPC Class Codes: B60K 35/28 characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver
• CPC Class Codes: B60K 35/60 Instruments characterised by their location or relative disposition in or on vehicles arrangements of lighting devices on dashboards B60Q3/10
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: G01R 31/3648 comprising digital calculation means, e.g. for performing an algorithm
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/371 with remote indication, e.g. on external chargers
• CPC Class Codes: G01R 31/382 Arrangements for monitoring battery or accumulator variables, e.g. SoC
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

A method and apparatus for estimating battery life are provided. A method of estimating battery life may involve estimating first status information of a battery based on battery information acquired from the battery, estimating second status information of the battery using a partial cycle model corresponding to a battery degradation pattern for a partial cycle, and calculating the battery life based on a comparison between the first status information and the second status information.

Claims

1. A method of estimating battery life, the method comprising:

estimating first status information of a battery, based on battery information acquired from the battery;

estimating second status information of the battery, using a partial cycle model corresponding to a battery degradation pattern for a partial cycle; and

calculating the battery life based on a comparison between the first status information and the second status information.

2. The method of claim 1, wherein the calculating comprises, in response to the first status information differing from the second status information, adjusting the partial cycle model.

3. The method of claim 1, wherein the calculating comprises, in response to the first status information being identical to the second status information, calculating the battery life from user history information using the partial cycle model.

4. The method of claim 3, wherein the battery life corresponds to a remaining useful life of the battery;

and the calculating of the battery life from user history information comprises;

extracting statistical information associated with the partial cycle from the user history information;

estimating third status information of the battery, based on the statistical information; and

estimating the remaining useful life based on the third status information.

5. The method of claim 4, wherein the estimating of the third status information comprises estimating, as the third status information, at least one of a capacity and an internal resistance estimated from a predictive partial cycle count estimated from the statistical information using the partial cycle model.

6. The method of claim 1, wherein the partial cycle model is a model to which a full cycle model associated with a degradation caused by a full charge and discharge of the battery is transformed.

7. The method of claim 1, wherein the estimating of the first status information comprises estimating, as the first status information, an internal parameter of an equivalent model corresponding to the battery from the battery information using the equivalent model.

8. The method of claim 7, wherein the estimating of the internal parameter comprises estimating, as the first status information, at least one of a capacity and an internal resistance from the battery information using a state space corresponding to the equivalent model.

9. The method of claim 1, wherein the estimating of the second status information comprises estimating, as the second status information, at least one of a capacity and an internal resistance estimated from a partial cycle count of the battery using the partial cycle model.

10. The method of claim 1, wherein the battery information comprises at least one of a voltage, a current, a temperature, a cycle count, and a partial cycle count of the battery.

11. An apparatus for estimating battery life, the apparatus comprising:

a first estimator configured to estimate first status information of a battery, based on battery information acquired from the battery;

a second estimator configured to estimate second status information of the battery, using a partial cycle model corresponding to a battery degradation pattern for a partial cycle; and

a life calculator configured to calculate the battery life based on a comparison between the first status information and the second status information.

12. The apparatus of claim 11, wherein, in response to the first status information differing from the second status information, the life calculator is configured to adjust the partial cycle model.

13. The apparatus of claim 11, wherein, in response to the first status information being identical to the second status information, the life calculator is configured to calculate the battery life from user history information using the partial cycle model.

14. The apparatus of claim 13, wherein the battery life corresponds to a remaining useful life of the battery;

and the life calculator is configured to extract statistical information associated with the partial cycle from the user history information, to estimate third status information of the battery, based on the statistical information, and to estimate the remaining useful life based on the third status information.

15. The apparatus of claim 14, wherein the life calculator is configured to estimate, as the third status information, at least one of a capacity and an internal resistance estimated from a predictive partial cycle count estimated from the statistical information using the partial cycle model.

16. The apparatus of claim 11, further comprising:

a model storage configured to store the partial cycle model to which a full cycle model associated with a degradation caused by a full charge and discharge of the battery is transformed.

17. The apparatus of claim 11, wherein the first estimator is configured to estimate, as the first status information, an internal parameter of an equivalent model corresponding to the battery from the battery information using the equivalent model.

18. The apparatus of claim 17, wherein the first estimator is configured to estimate, as the first status information, at least one of a capacity and an internal resistance from the battery information using a state space corresponding to the equivalent model.

19. The apparatus of claim 11, wherein the second estimator is configured to estimate, as the second status information, at least one of a capacity and an internal resistance estimated from a partial cycle count of the battery using the partial cycle model.

20. The apparatus of claim 11, wherein the battery information comprises at least one of a voltage, a current, a temperature, a cycle count, and a partial cycle count of the battery.

21. An apparatus for estimating battery life, the apparatus comprising:

a sensor configured to detect battery performance information of a battery that powers a device; and

a processor configured to retrieve historic data regarding partial charge cycles of the device from a memory storage, and to estimate a battery life of the battery for use with the device based on the battery performance information and the historic data.

22. The apparatus of claim 21, wherein the battery life corresponds to a remaining useful life of the battery;

and the sensor is configured to measure at least one of a voltage, a current, a temperature, a cycle count and a partial cycle count of the battery.

23. The apparatus of claim 22, wherein the historic data comprises statistical information associated with past charge cycles of the device, and the processor is configured to apply a partial cycle model corresponding to a battery degradation pattern to the battery performance information and the historic data to estimate the remaining useful life of the battery in the device.

24. An electric vehicle comprising:

a battery compartment configured to hold the battery; and

the apparatus of claim 21, wherein the apparatus further comprises a display screen configured to output information regarding the battery life to a dashboard of the electric vehicle.