基于脉冲负载试验和加速退化试验的亚硫酰氯锂电池寿命预测

Qisen Sun, X. Ye, Haoxiang Li, Wenwen Li, Ruiming Yuan, G. Zhai
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引用次数: 0

摘要

亚硫酰氯锂电池广泛应用于需要长寿命备用电源的设备中,其寿命决定了设备的可靠性。提出了一种基于脉冲负荷试验和加速退化试验的亚硫酰氯锂电池寿命预测新方法。通过脉冲负载试验,提取电池电压响应的容量特征,利用反向传播神经网络构造容量估计器。脉冲负荷试验方法可以快速、无损地估计一次电池的容量,从而准确地描述一次电池的容量退化情况。在此基础上,进行了加速降解试验,并对放电角和电解质流动性进行了分析,避免了降解的测量误差。根据时间和温度对容量退化的指数影响,建立了对实测数据具有较好近似能力的寿命预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Life Prediction of Lithium Thionyl Chloride Battery Based on Pulse Load Test and Accelerated Degradation Test
Lithium thionyl chloride batteries are widely used in equipment that requires a long-life backup power source, and their life determines the reliability of the equipment. This paper proposes a new method for life prediction of Lithium thionyl chloride battery based on pulse load test and accelerated degradation test. Through the pulse load test, the capacity features are extracted from the voltage response of the battery, and the capacity estimator is constructed by back propagation neural network. The pulse load test method can estimate the capacity quickly and non-destructively, so the capacity degradation of the primary battery can be accurately described. On this basis, an accelerated degradation test is carried out, and the discharge angle and electrolyte fluidity are analyzed to avoid the measurement error of degradation. According to the exponential influence of time and temperature on capacity degradation, a life prediction model with satisfactory ability to approximate measured data is established.
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