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A Lithium-ion Battery Fractional Order Model and Its Time-domain Parameter Identification Method

机译:锂离子电池分数阶模型及其时域参数识别方法

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This paper deals with a fractional order model for the lithium-ion battery and presents its parameter identification method in time-domain.As we know,the equivalent circuit models are mostly used to simulate the performance of the battery system.But real processes interiorly always involves with ion migration,redox reaction,hysteresis effects and so on,which are usually of fractional order as opposed to the ideal integral order models.So a lithium-ion battery fractional order model is proposed here,and compared with the lumped parameter model,to see which model fits with the experimental results best.Then the pulse current profile,as one identification sequense,has been implemented upon the lithium-ion battery during varied state-of-charge (SOC).Based on the minimum residual sum of squares method,the parameters for each model have been obtained using the time domain test data.Lastly,the DST profile has been used to validate each model's performance.Experimental results show that,for containing more information,the proposed lithium-ion fractional order model fits more precisely than the classical equivalent circuit model and has better generalization ability.
机译:本文涉及锂离子电池的分数阶模型,并在时代呈现其参数识别方法。我们知道,等效电路模型主要用于模拟电池系统的性能。但是始终内部的实际过程的性能。涉及离子迁移,氧化还原反应,滞后效应等,这通常是分数级,而不是理想的整体阶模型。在此提出锂离子电池分数阶模型,并与集总参数模型进行比较,要查看哪种模型与实验结果最有适合。该脉冲电流曲线作为一个识别序列,在变化状态(SOC)期间已经在锂离子电池上实现。基于最小剩余平方和方法,已经使用时域测试数据获得了每个模型的参数.Lastly,DST简介已被用于验证每个模型的性能。实验结果表明,对于CO符合更多信息,所提出的锂离子分数阶模型比经典等效电路模型更精确,具有更好的泛化能力。

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