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Modeling battery cells under discharge using kinetic and stochastic battery models

机译:使用动态和随机电池模型对放电时的电池单元进行建模

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In this paper we review several approaches to mathematical modeling of simple battery cells and develop these ideas further with emphasis on charge recovery and the response behavior of batteries to given external load. We focus on models which use few parameters and basic battery data, rather than detailed reaction and material characteristics of a specific battery cell chemistry, starting with the coupled ODE linear dynamics of the kinetic battery model. We show that a related system of PDE with Robin type boundary conditions arises in the limiting regime of a spatial kinetic battery model, and provide a new probabilistic representation of the solution in terms of Brownian motion with drift reflected at the boundaries on both sides of a finite interval. To compare linear and nonlinear dynamics in kinetic and stochastic battery models we study Markov chains with states representing available and remaining capacities of the battery. A natural scaling limit leads to a class of nonlinear ODE, which can be solved explicitly and compared with the capacities obtained for the linear models. To indicate the potential use of the modeling we discuss briefly comparison of discharge profiles and effects on battery performance.
机译:在本文中,我们回顾了简单电池单元数学建模的几种方法,并进一步强调了电荷恢复和给定外部负载下电池的响应行为,进一步发展了这些思想。我们从使用动态电池模型的耦合ODE线性动力学开始,着眼于使用很少参数和基本电池数据,而不是特定电池化学成分的详细反应和材料特性的模型。我们表明,具有罗宾型边界条件的PDE的相关系统出现在空间动力电池模型的极限状态中,并提供了一种新的概率表示的布朗运动解,其中漂移反映在两个边界上。有限间隔。为了在动力学和随机电池模型中比较线性和非线性动力学,我们研究了代表状态的可用和剩余电池的马尔可夫链。自然比例限制会导致一类非线性ODE,可以对其进行明确求解并将其与线性模型获得的容量进行比较。为了表明该模型的潜在用途,我们简要讨论了放电曲线及其对电池性能的影响的比较。

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