• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (12): 128-136.doi: 10.3901/JME.2019.12.128

• 运载工程 • 上一篇    下一篇

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车用锂离子动力电池电化学模型修正方法

徐兴1,2, 徐琪凌1, 王峰1,2, 杨世春3, 周之光4   

  1. 1. 江苏大学汽车与交通工程学院 镇江 212013;
    2. 江苏大学汽车工程研究院 镇江 212013;
    3. 北京航空航天大学交通科学与工程学院 北京 100083;
    4. 奇瑞汽车股份有限公司动力总成技术中心 芜湖 241009
  • 收稿日期:2018-08-20 修回日期:2019-01-20 出版日期:2019-06-20 发布日期:2019-06-20
  • 通讯作者: 王峰(通信作者),男,1986年出生,博士,副教授。主要研究方向为动力传动系统建模与控制。E-mail:bewater@163.com
  • 作者简介:徐兴,男,1979年出生,博士,教授,博士研究生导师。主要研究方向为车辆动力学控制。E-mail:xuxing@mail.ujs.edu.cn;徐琪凌,男,1993年出生。主要研究方向为电动汽车动力电池建模与控制。E-mail:1319210093@qq.com;杨世春,男,1974年出生,博士,教授。主要研究方向为电动汽车能量储存与动力系统。E-mail:yangshichun@buaa.edu.cn;周之光,男,1982年出生,博士。主要研究方向为HEV动力总成技术。E-mail:zhouzhiguang@mychery.com
  • 基金资助:
    国家重点研发计划“新能源汽车”专项(2017YFB0103200)、江苏省重点研发计划竞争(BE2017129)和江苏省“333”工程(BRA2016445)资助项目

Modification Method of Electrochemical Model for Vehicular Lithium-ion Power Battery

XU Xing1,2, XU Qiling1, WANG Feng1,2, YANG Shichun3, ZHOU Zhiguang4   

  1. 1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013;
    2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013;
    3. School of Transportation Science and Engineering, Beihang University, Beijing 100083;
    4. Powertrain Technology Center, Chery Automotive Ltd, Wuhu 241009
  • Received:2018-08-20 Revised:2019-01-20 Online:2019-06-20 Published:2019-06-20

摘要: 针对锂离子动力电池伪二维(P2D)电化学模型在高倍率放电工况下精度降低的问题,提出基于平均电极模型的修正方法。分析锂离子动力电池电化学平均电极模型灵敏性参数-固相扩散系数与颗粒粒径对模型的影响,基于恒压-恒流充电容量比方法建立电流与固相扩散系数的耦合关系;通过充放电测试获取锂离子动力电池电极颗粒的粒径分布特征,将其归纳为最大粒径、中粒径和最小粒径三种不同粒径颗粒的权重系数,构建了变固相扩散系数三粒子电池电化学模型。搭建了面向单体电池的多倍率放电试验和电池组的NEDC循环工况试验平台,对比分析结果表明,相比传统的P2D电化学模型,提出的变参数模型精度提高了80%,输出电压平均误差不超过0.02 V、最大偏差在0.05 V左右,验证了变参数修正模型的有效性和准确性,为锂离子动力电池管理系统状态估计与控制提供了理论支撑。

关键词: 变参数, 电动汽车, 锂离子动力电池, 平均电极模型, 修正方法

Abstract: Aim to improve the accuracy of P2D model under the condition of high discharge rate, a modified method based on the average electrode model is proposed. The effects of sensitivity parameters-solid phase diffusion coefficient and particle size on the average electrode model are analyzed. Based on the Ratio of Potentio-charge capacity to Galvano-charge capacity(RPG), the coupling relationship between current and solid phase diffusion coefficient is established. The particle size distribution characteristics of electrode particles of li-ion power battery are obtained by charging and discharging tests and concluded as the weight coefficients according to the maximum particle size, medium particle size and minimum particle size. Then, a three-particle electrochemical model with variable solid phase diffusion coefficient is given. Meanwhile, the multi-power discharge test for single battery and the NEDC cycle test platform for battery pack are carried out. Compared with the traditional P2D electrochemical model, the accuracy of the proposed variable parameter model is increased by 80%, the error of average output voltage is no more than 0.02 V, and the maximum deviation is about 0.05 V. The experiment verifies the validity and accuracy of the variable parameter model, which provides theoretical support for the state estimation and control of the Li-ion power battery management system.

Key words: average electrode models, electric vehicle, li-ion batteries, modification method, variable parameters

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