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Real-time state of charge and electrical impedance estimation for lithium-ion batteries based on a hybrid battery model

机译:基于混合电池模型的锂离子电池实时充电状态和电阻抗估计

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This paper proposes a real-time state of charge (SOC) and electrical impedance estimation method for lithium-ion batteries based on a hybrid battery model. The hybrid battery model consists of an enhanced Coulomb counting algorithm for SOC estimation and an electrical circuit battery model. A particle swarm optimization (PSO)-based online parameter identification algorithm is designed to estimate the electrical impedances and open-circuit voltage of the electrical circuit battery model. A SOC compensator is designed to correct the error of the Coulomb counting-based SOC estimation, leading to a closed-loop, accurate, robust real-time SOC estimation. The proposed method is validated by using experimental data collected from a battery tester for a polymer lithium-ion battery cell. The proposed method is applicable to other types of electrochemical battery cells.
机译:提出了一种基于混合电池模型的锂离子电池实时充电状态(SOC)和电阻抗估计方法。混合电池模型包括用于SOC估计的增强型库仑计数算法和电路电池模型。设计了基于粒子群优化(PSO)的在线参数识别算法,以估计电路电池模型的电阻抗和开路电压。 SOC补偿器设计用于校正基于库仑计数的SOC估计的误差,从而实现闭环,准确,可靠的实时SOC估计。通过使用从聚合物锂离子电池组电池测试仪收集的实验数据验证了该方法的有效性。所提出的方法适用于其他类型的电化学电池单元。

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