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Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model
Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model
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机译:通过在基于物理的降阶模型中使用回归参数来模拟充电状态开路电压曲线的变化
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摘要
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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