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Rapid prediction of the state of health of retired power batteries based on electrochemical impedance spectroscopy

机译:基于电化学阻抗光谱的退休电池健康状况的快速预测

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摘要

In order to solve the problems of long time-consuming, low accuracy and high energy consumption in detecting the state of health (SOH) of retired power batteries, a rapid prediction method of SOH based on electrochemical impedance spectroscopy (EIS) is proposed. This method realizes the rapid estimation of the SOH of retired power batteries through the mathematical model established by the constant phase element parameters in the constructed electrochemical impedance spectroscopy equivalent circuit model and the battery SOC and SOH. The verification experiment results show that using this method can greatly reduce the test time, save energy, and achieve rapid estimation of the unknown state of charge and health of the battery, and the prediction error is less than 2%.
机译:为了解决在检测到退休功率电池的健康状态(SOH)时长时间消耗,低精度和高能耗的问题,提出了一种基于电化学阻抗光谱(EIS)的SOH的快速预测方法。 该方法实现了通过由构造的电化学阻抗谱相当电路模型和电池SOC和SOH建立的恒相元素参数建立的数学模型的快速估计。 验证实验结果表明,使用这种方法可以大大降低测试时间,节省能量,实现电池的未知充电状态的快速估计,并且预测误差小于2%。

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