基于simulink的车载电池模型的建模与仿真

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英文篇名：Modeling and Simulation of Lithium Ion Battery Model Based on Simulink 作者：陆文祺 ; 张成涛 ; 王佳奇 ; 左红明 英文作者：Lu Wenqi;Zhang Chengtao;Wang Jiaqi;Zuo Hongming;Guangxi Key Laboratory of Automobile Parts and Vehicle Technology (Guangxi University of Science and Technology);School of automobile and transportation, Guangxi University of Science and Technology; 关键词：锂电池模型 ; simulink ; 模型参数辨识 ; 电池管理 英文关键词：Lithium battery model;;simulink;;model parameter identification;;battery management 中文刊名：SXQC 英文刊名：Automobile Applied Technology 机构：广西汽车零部件与整车技术重点实验室(广西科技大学);广西科技大学汽车与交通学院; 出版日期：2019-04-30 出版单位：汽车实用技术 年：2019 期：No.287 基金：广西教育厅重点项目(KY2015ZD070);; 广西重点实验室建设项目(14A0302) 语种：中文; 页：SXQC201908011 页数：5 CN：08 ISSN：61-1394/TH 分类号：18-21+32

摘要

动力电池技术是电动汽车作为三电之一的重点研究方向,电池模型可以反映电池的外特性,锂离子电池的精确建模和状态估计在电池的研究中起着至关重要的作用。锂电池的使用过程中,电池内部参数会跟外界环境及荷电状态的变化而变化,选用固定参数的电池模型会导致模型的精度差较大。为了能够更好的提高电池管理系统的作用,基于物理电学模型提出改进的二阶Thevenin等效电池模型,该模型充分考虑了容量对电池内部参数的影响,会使精确度更高。实验及仿真结果表明:在城市道路循环工况下,通过对18650和所建仿真模型进行电压监测对比实验,最大实际误差为0.03V,而传统的最大误差为0.04V,相比传统模型精度提高了25%。因此,所设计的模型能够准确地描述锂离子电池的特性,使得荷电状态的估算精度得以提高,将该模型嵌入到电池管理系统中将使电池管理更加有效。
        Power battery technology is the key research direction of electric vehicles as one of the three electric batteries, and the battery model can reflect the external characteristics of the battery. The accurate modeling and state estimation of lithium-ion batteries play an important role in the research of batteries. During the use of the lithium battery, the internal parameters of the battery will change with changes in the external environment and the state of charge. Selecting a battery model with a fixed parameter will result in a poor accuracy of the model. In order to better improve the role of the battery management system, an improved second-order Thevenin equivalent battery model based on the physical and electrical model is proposed. The model fully considers the influence of the capacity on the internal parameters of the battery, which will make the accuracy higher. The experimental and simulation results show that under the urban road cycle conditions, the maximum actual error is 0.03 V through the voltage monitoring comparison experiment of the 18650 and the built simulation model, while the traditional maximum error is 0.04 V, which is higher than the traditional model. 25%. Therefore, the model designed can accurately describe the characteristics of the lithium ion battery, so that the estimation accuracy of the state of charge is improved, and embedding the model into the battery management system will make battery management more efficient.

引文

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