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Simplified Battery Pack Modeling Considering Inconsistency and Evolution of Current Distribution
IEEE Transactions on Intelligent Transportation Systems ( IF 8.5 ) Pub Date : 2020-01-01 , DOI: 10.1109/tits.2020.3010567
Xinyuan Fan , Weige Zhang , Zhanguo Wang , Fulai An , Hao Li , Jiuchun Jiang

With the development of battery technology, large-scale battery applications are increasing. In order to obtain a higher current and voltage level and improve the overall energy efficiency, batteries are connected in series and parallel. Bulk model is the most used model to simulate battery packs, and the simulation results of single cell are enlarged several times to represent a battery pack. But bulk model ignores inconsistency between the batteries, and when the current magnification is large, such as in the extreme fast charge scenario, this neglect cannot reflect the current distribution inside the battery pack. Our paper proposes a simplify algorithm based on equivalent circuit model, which applied for non-uniform series and parallel-connected batteries. This simplification can greatly improve simulation speed while maintaining accuracy under the consideration of inconsistency. More importantly, this algorithm applies to any complex circuit, regardless of how many series-parallel structure layers. With the proposed algorithm, Monte Carlo simulations were evaluated to obtain the influence of battery series and parallel number and normal distribution parameters on current distribution. Simulation results show that an increase in the number of series will reduce the inconsistency of the current distribution, and an increase in the number of parallel and an increase in the relative standard deviation of the normal distribution of the battery parameters will increase the inconsistency of the current distribution.

中文翻译:

考虑到电流分布的不一致和演变的简化电池组建模

随着电池技术的发展,电池的大规模应用越来越多。为了获得更高的电流和电压水平,提高整体能效,电池采用串联和并联连接方式。Bulk模型是模拟电池组最常用的模型,将单个电芯的模拟结果放大几倍来表示一个电池组。但是bulk模型忽略了电池之间的不一致性,当电流放大倍数很大时,比如在极快充电场景下,这种忽略不能反映电池组内部的电流分布。我们的论文提出了一种基于等效电路模型的简化算法,适用于非均匀串并联电池。这种简化可以大大提高仿真速度,同时在考虑不一致性的情况下保持精度。更重要的是,这个算法适用于任何复杂的电路,不管有多少串并联结构层。使用所提出的算法,对蒙特卡罗模拟进行评估,以获得电池串并联数量和正态分布参数对电流分布的影响。仿真结果表明,串联数量的增加会降低电流分布的不一致性,并联数量的增加和电池参数正态分布的相对标准偏差的增加会增加电流分布的不一致性。电流分布。这个算法适用于任何复杂的电路,不管有多少串并联结构层。使用所提出的算法,对蒙特卡罗模拟进行评估,以获得电池串并联数量和正态分布参数对电流分布的影响。仿真结果表明,串联数量的增加会降低电流分布的不一致性,并联数量的增加和电池参数正态分布的相对标准偏差的增加会增加电流分布的不一致性。电流分布。这个算法适用于任何复杂的电路,不管有多少串并联结构层。使用所提出的算法,对蒙特卡罗模拟进行评估,以获得电池串并联数量和正态分布参数对电流分布的影响。仿真结果表明,串联数量的增加会降低电流分布的不一致性,并联数量的增加和电池参数正态分布的相对标准偏差的增加会增加电流分布的不一致性。电流分布。评估蒙特卡罗模拟以获得电池串并联数量和正态分布参数对电流分布的影响。仿真结果表明,串联数量的增加会降低电流分布的不一致性,并联数量的增加和电池参数正态分布的相对标准偏差的增加会增加电流分布的不一致性。电流分布。评估蒙特卡罗模拟以获得电池串并联数量和正态分布参数对电流分布的影响。仿真结果表明,串联数量的增加会降低电流分布的不一致性,并联数量的增加和电池参数正态分布的相对标准偏差的增加会增加电流分布的不一致性。电流分布。
更新日期:2020-01-01
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