Invention Grant
US09130248B2 Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model
有权
通过使用基于退化物理学的模型中的回归参数来建模充电状态开路电压曲线的变化
- Patent Title: Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model
- Patent Title (中): 通过使用基于退化物理学的模型中的回归参数来建模充电状态开路电压曲线的变化
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Application No.: US13481290Application Date: 2012-05-25
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Publication No.: US09130248B2Publication Date: 2015-09-08
- Inventor: Patricia M. Laskowsky , Brian J. Koch , Damon R. Frisch , Ramesh Rebba , Kurt M. Johnson
- Applicant: Patricia M. Laskowsky , Brian J. Koch , Damon R. Frisch , Ramesh Rebba , Kurt M. Johnson
- Applicant Address: US MI Detroit
- Assignee: GM Global Technology Operations LLC
- Current Assignee: GM Global Technology Operations LLC
- Current Assignee Address: US MI Detroit
- Agency: Miller IP Group, PLC
- Agent John A. Miller
- Main IPC: H01M10/48
- IPC: H01M10/48 ; B60L11/18 ; G01R31/36 ; H01M10/0525
Abstract:
A method for modeling changes in the state of charge vs. open circuit voltage (SOC-OCV) curve for a lithium-ion battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. A set of state equations are used to determine the stoichiometry and state of charge of the cathode half-cell based on the charging current profile over time. The voltage and current data, along with the stoichiometry and state of charge of the cathode half-cell, are then used to estimate maximum and minimum solid concentration values at the anode, using an error function parameter regression/optimization. With stoichiometric conditions at both the cathode and anode calculated, the cell's capacity and a new SOC-OCV curve can be determined.
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