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Online State of Charge and Electrical Impedance Estimation for Multicell Lithium-ion Batteries

机译:在线充电状态和电气阻抗 多节锂离子电池的估算

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摘要

This paper proposes a hybrid battery model-based high-fidelity state of charge (SOC) and electrical impedance estimation method for multicell lithium-ion batteries. 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 parameters of the cells sequentially. An SOC compensator is designed to correct the errors of the enhanced Coulomb counting SOC estimations for the cells sequentially. This leads to an accurate, robust online SOC estimation for individual cells of a battery pack. The proposed method is validated by simulation and experimental data collected from a battery tester for a four-cell polymer lithiumion battery pack. The proposed method is applicable to other types of electrochemical batteries.
机译:本文提出了一种基于混合电池模型的高保真充电状态(SOC)和用于多节锂离子电池的电阻抗估计方法。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,以依次估计细胞的电参数。 SOC补偿器设计用于依次校正增强型库仑计数SOC估计的误差。这可为电池组的各个电池单元提供准确,可靠的在线SOC估算。通过从电池测试仪收集的四节聚合物锂离子电池组的仿真和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。

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