• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (2): 268-280.doi: 10.3901/JME.2025.02.268

• 运载工程 • 上一篇    

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锂离子电池热-电特性耦合建模与可视化研究

熊瑞1, 张凯旋1, 李海龙2   

  1. 1. 北京理工大学机械与车辆学院 北京 100081;
    2. 梅拉达伦大学能源学院 韦斯特罗斯 72123 瑞典
  • 收稿日期:2024-01-03 修回日期:2024-07-22 发布日期:2025-02-26
  • 作者简介:熊瑞(通信作者),男,1985年出生,博士,教授,博士研究生导师。主要研究方向为新能源汽车与电池储能系统。E-mail:rxiong@bit.edu.cn;张凯旋,男,1998年出生,博士研究生。主要研究方向为电动车辆动力电池管理。E-mail:zhangkaixuan@bit.edu.cn;李海龙,男,1976年出生,博士,教授,博士研究生导师。主要研究方向为先进储能技术。E-mail:hailong.li@mdu.se
  • 基金资助:
    国家重点研发计划资助项目(2021YFB2402002)。

Thermo-electric Coupling Modeling and Visual Characterization of Lithium-ion Batteries

XIONG Rui1, ZHANG Kaixuan1, LI Hailong2   

  1. 1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081;
    2. School of Business, Society and Engineering, Mälardalens University, Västerås 72123, Sweden
  • Received:2024-01-03 Revised:2024-07-22 Published:2025-02-26

摘要: 锂离子电池电化学反应和产热过程复杂,影响因素繁多,其精确的数学建模和内部状态可视化是动力电池系统管理的基础。考虑电池外形特点和微观几何结构,建立了动力电池电化学和热特性的耦合机理模型;分析模型参数体系,提出了拆解测量和测试数据驱动辨识相结合的耦合机理模型参数获取方法;建立锂离子电池电化学反应过程的数值解析方程,应用颗粒内部锂离子扩散机理实现了固相锂离子浓度可视化,解释了温度和倍率对容量的耦合影响。完善扩展了动力电池系统的测试平台,开展了模型验证和评价试验,结果表明,端电压预测误差低于50 mV,温度估计误差低于2 ℃。

关键词: 锂离子电池, 联合仿真, 可视化分析, 拆解测量, 电化学-热耦合模型

Abstract: The electrochemical reactions and heat generation mechanism inside lithium ion batteries (LIBs) are complex, which can be influenced by many factors. Precise mathematical modeling and visualization of LIB internal states are of importance for battery management systems. A model based on coupling electrochemical and thermal characteristic is established, in which the characteristics of battery shape and micro-geometry structure are also considered. Moreover, a method is further proposed to obtain model parameters, which combines measurements and data-driven parameter identification. To visualize lithium ion concentration in solid-phase, numerical equations describing the electrochemical reaction are established based on the lithium ion diffusion mechanism, which can explain the coupling effects of temperatures and charging rates on LIB capacity. model validation results show that the prediction error of terminal voltage is less than 50 mV and the estimation error of temperature is less than 2 ℃.

Key words: lithium-ion battery, co-simulation, visual analysis, dismantling measurement, electrochemical-thermal coupling mode

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