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Separating key less weil-known properties of drive profiles that affect lithium-ion battery aging by applying the statistical design of experiments

机译:通过应用实验的统计设计来分离会影响锂离子电池老化的驱动曲线的关键特性(不太重要)

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This work investigates how the aging of lithium-ion batteries is influenced by several less well-known properties of different vehicle drive profiles. It is demonstrated that the RMS current value is a statistically significant aging factor for the case of dynamic drive profiles, extending the results of previous work that focused on steady-state discharge current waveforms. In addition, a quantitative analysis procedure is developed to facilitate the separation of aging factors and to analyze their individual and mutual effects. Strong statistical evidence is presented to support the importance of the interaction between the RMS current value and the battery discharge temperature on aging characteristics. The impact of these outcomes on designing battery systems that include provisions for reducing the AC content of the battery current as a function of the battery operating temperature are discussed.
机译:这项工作研究了锂离子电池的老化如何受到不同的车辆行驶曲线的几个不太为人所知的特性的影响。事实证明,对于动态驱动曲线,RMS电流值在统计上是重要的老化因素,这扩展了先前针对稳态放电电流波形的工作结果。另外,开发了定量分析程序以促进衰老因子的分离并分析其个体和相互影响。提供了强有力的统计证据来支持RMS电流值和电池放电温度之间的相互作用对老化特性的重要性。讨论了这些结果对设计电池系统的影响,其中包括根据电池工作温度降低电池电流的AC含量的规定。

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