Battery state of health estimation by tracking electrode and cyclable lithium capacities

Patent metadata

Field	Value
Publication number	US-10511050-B1
Application number	US-201816237534-A
Country	US
Kind code	B1
Filing date	Dec 31, 2018
Priority date	Dec 31, 2018
Publication date	Dec 17, 2019
Grant date	Dec 17, 2019

Abstract

Battery health is determined by estimating a battery anode capacity, battery cathode capacity, and cyclable lithium capacity. Determining electrode and lithium capacity may include determining anode and cathode open cell voltages (OCV) at the beginning of battery life, and estimating the full cell OCV from the individual (half-cell) OCV values. Once the beginning of battery life information is known, the state of charge (SOC) for a battery is measured during battery life. The SOC measurements may be captured at a plurality of different levels. The cathode capacity, anode capacity, and cycle mobile lithium capacity are then determined from the beginning of life OCV data and plurality of SOC data. The capacities can be used to detect degradation, and a battery management system can take steps to reduce further degradation based on the capacity values.

First claim

The invention claimed is:

1. A method for determining the health of a battery, comprising:
determining an open circuit voltage (OCV) for a full battery;
estimating an electrode stoichiometry by fitting the full battery OCV using a half cell anode OCV and a half cell cathode OCV;
measuring, by a battery management system on a battery powered system, a plurality of full cell OCVs during the lifecycle of a first battery on the battery powered system, wherein each of the plurality of full cell OCVs are measured at a different state of charge (SOC) for the first battery;
determining, by the battery management system, an anode capacity, a cathode capacity, and a lithium ion capacity for the first battery based on the measured SOCs, the anode OCV, and the cathode OCV; and
analyzing, by the battery management system, the anode capacity, a cathode capacity, and the lithium ion capacity to predict a degradation source in the first battery.

2. The method of claim 1 , wherein the anode OCV is determined from an anode half-cell and the cathode OCV is determined from a cathode half-cell.

3. The method of claim 2 , wherein the anode OCV and the cathode OCV are determined at a beginning of battery life.

4. The method of claim 1 , wherein the plurality of full cell OCVs includes four measured full battery OCVs.

5. The method of claim 1 , wherein each of the plurality of full battery OCVs is measured using online estimation methods.

6. The method of claim 1 , wherein the measured OCV data is used to determine the anode capacity and the cathode capacity at least in part utilizing a damped least squares method.

7. The method of claim 1 , wherein determining an anode OCV includes determining the anode OCV at multiple state of charge values between 100% and 0%,
determining a cathode OCV includes determining the cathode OCV at multiple state of charge values between 100% and 0%,
wherein the anode capacity, a cathode capacity, and a lithium ion capacity are each determined at least in part based on multiple state of charge values.

8. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for determining the health of a battery, the method comprising:
determining an open circuit voltage (OCV) for a full battery;
estimating an electrode stoichiometry by fitting the full battery OCV using a half cell anode OCV and a half cell cathode OCV;
measuring, by a battery management system on a battery powered system, a plurality of full cell OCVs during the lifecycle of a first battery, wherein each of the plurality of full cell OCVs are measured at a different state of charge (SOC) for the first battery;
determining, by the battery management system, an anode capacity, a cathode capacity, and a lithium ion capacity in the first battery based on the measured SOCs, the anode OCV, and the cathode OCV; and
analyzing, by the battery management system, the anode capacity, a cathode capacity, and a lithium ion capacity to predict a degradation source in the first battery.

9. The non-transitory computer readable storage medium of claim 8 , wherein the anode OCV is determined from an anode half-cell and the cathode OCV is determined from a cathode half-cell.

10. The non-transitory computer readable storage medium of claim 9 , wherein the anode OCV and the cathode OCV are determined at a beginning of battery life.

11. The non-transitory computer readable storage medium of claim 8 , wherein the plurality of full cell OCVs includes four measured full battery OCVs.

12. The non-transitory computer readable storage medium of claim 8 , wherein each of the plurality of full battery OCVs is measured using online estimation methods.

13. The non-transitory computer readable storage medium of claim 8 , wherein the measured OCV data is used to determine the anode capacity and the cathode capacity at least in part utilizing a damped least squares method.

14. The non-transitory computer readable storage medium of claim 8 , wherein determining an anode OCV includes determining the anode OCV at multiple state of charge values between 100% and 0%,
determining a cathode OCV includes determining the cathode OCV at multiple state of charge values between 100% and 0%,
wherein the anode capacity, a cathode capacity, and a lithium ion capacity are each determined at least in part based on multiple state of charge values between 100% and 0%.

15. A system for automatically applying a charging profile to a battery cell, comprising:
one or more processors,
memory, and
one or more modules stored in memory and executable by the one or more processors to determine an open circuit voltage (OCV) for a full battery, estimate an electrode stoichiometry by fitting the full battery OCV using a half cell anode OCV and a half cell cathode OCV, measure a plurality of full cell OCVs during the lifecycle of a first battery, wherein each of the plurality of full cell OCVs are measured at a different state of charge (SOC) for the first battery, determine an anode capacity, a cathode capacity, and a lithium ion capacity in the first battery based on the measured SOCs, the anode OCV, and the cathode OCV, and analyze the anode capacity, a cathode capacity, and a lithium ion capacity to predict a degradation source in the first battery.

16. The system of claim 15 , wherein the anode OCV is determined from an anode half-cell and the cathode OCV is determined from a cathode half-cell.

17. The system of claim 16 , wherein the anode OCV and the cathode OCV are determined at a beginning of battery life.

18. The system of claim 15 , wherein the plurality of full cell OCVs includes four measured full battery OCVs.

19. The system of claim 15 , wherein each of the plurality of full battery OCVs is measured using an online estimation method.

20. The system of claim 15 , wherein the measured OCV data is used to determine the anode capacity and the cathode capacity at least in part utilizing a damped least squares method.

Assignees

• Sf Motors Inc

Inventors

• Rahimian Saeed Khaleghi
• Han Sangwoo
• Shi Junzhe
• Zhang Wenke
• Liu Ying
• Hou Jun
• Yu Chen-Yen
• Tang Yifan

Classifications

• G01R31/367 Primary

  Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

• G01R31/388

  involving voltage measurements · CPC title

• G01R31/392

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• G01R31/3835

  involving only voltage measurements · CPC title

• G01R31/3648

  comprising digital calculation means, e.g. for performing an algorithm · CPC title