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Stochastic Model for Lithium Ion Battery Lifecycle Prediction and Parametric Uncertainties

机译:锂离子电池寿命周期预测的随机模型和参数不确定性

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Lithium ion batteries plays a vital role in the technological sphere as an enabler for operation of many mobile devices due to their ability to hold charge for a considerably long period. Despite the proliferation of lithium ion batteries, research is still needed to assess and quantify the effects of model parameters on the charge capacity decay and the techniques for estimating the state of health of the batteries. This study uses a stochastic modeling technique that is based on the multiphase decay rate sigmoidal model, to study the battery charge capacity decay over time and determine the effects of the charge decay model parameters on the decay pattern of the batteries. The variabilities of the state of charge$(mathrm{SoC})$of the batteries over the lifecycle phases were also studied using the Weibull distribution function and the reliability was estimated for 70% and 60% end-of-life (EOL) failure thresholds.
机译:锂离子电池由于能够在相当长的时间内保持电荷,因此在技术领域中起着许多移动设备操作的推动者的重要作用。尽管锂离子电池激增,但仍需要进行研究以评估和量化模型参数对充电容量衰减的影响以及估算电池健康状态的技术。这项研究使用基于多相衰减率S型模型的随机建模技术来研究电池充电容量随时间的衰减,并确定电荷衰减模型参数对电池衰减模式的影响。充电状态的变化 $(\ mathrm {SoC} )$ 还使用Weibull分布函数研究了整个生命周期阶段的电池数量,并针对70%和60%的寿命终止(EOL)失效阈值评估了可靠性。

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