Life Prediction Method of Power Battery for New Energy Vehicle

CONVERTER Pub Date : 2021-07-28 DOI:10.17762/converter.240
G. Ruan, Jinliang Cao, Xingji Hu
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Abstract

Battery life is a key factor restricting the development of new energy vehicle manufacturing industry.Taking a LiMn2O4 power battery as an example, the life prediction method of power battery based on performance degradation data was studied. It is found that the capacity of the battery basically conforms to the decline trajectory of the power function, and the pseudo failure life of the battery is extrapolated by using the decline model. The distribution of pseudo failure life is studied, and the results are consistent with the fitting effect of Weibull distribution. Finally, the reliability of the battery is evaluated based on Weibull life distribution. This paper analyzes the influence of the actual cycle data on the prediction accuracy. The test results show that the life model and reliability evaluation method have high accuracy, and solve the problems of long life evaluation cycle and high cost of power battery.
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新能源汽车动力电池寿命预测方法
电池寿命是制约新能源汽车制造业发展的关键因素。以某LiMn2O4动力电池为例,研究了基于性能退化数据的动力电池寿命预测方法。发现电池的容量基本符合幂函数的下降轨迹,并利用下降模型外推电池的伪失效寿命。对拟失效寿命的分布进行了研究,结果与威布尔分布的拟合效果一致。最后,基于威布尔寿命分布对电池的可靠性进行了评估。分析了实际周期数据对预测精度的影响。试验结果表明,该寿命模型和可靠性评估方法具有较高的准确性,解决了动力电池寿命评估周期长、成本高的问题。
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