An Electrochemical/Thermodynamic Analytical Model for Hard-Pack Lithium-Ion Batteries in Engineering Education

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2025-02-20 DOI:10.1002/eng2.70024
Ligang Wang, Hangyang Li, Zhiliang Huang, Peng Wu, Jiayuan Huangfu
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Abstract

Modeling lithium-ion battery states plays a crucial role in supporting engineering education, yet applying existing models in the classroom poses challenges. This paper presents an electrochemical/thermodynamic analytical model with 19 parameters for hard-pack lithium-ion batteries, providing efficient and compact MATLAB code as an instructional tool for engineering education. The paper elucidates the mechanisms of electrochemical/thermodynamic behavior evolution in lithium-ion batteries under thermal abuse and develops a state evaluation model based on ordinary differential equations. The highly nonlinear dynamic problem is discretized into a series of static problems, which are solved using the Levenberg–Marquardt algorithm. The MATLAB program is applied to prismatic and cylindrical lithium-ion batteries, yielding critical venting points and state evolution curves, such as temperature, pressure, gas production, heat generation rate, and reaction rate. The comprehensive results vividly demonstrate the evolution of electrochemical and thermodynamic behavior in lithium-ion batteries, aiding students in grasping complex concepts within the course. The modeling and solution process, along with the discussion of algorithm parameters, are expected to enhance students' programming skills and engineering thinking. The proposed algorithm demonstrates second-level efficiency and good convergence, highlighting its potential for classroom applications.

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工程教育中硬包锂离子电池的电化学/热力学分析模型
锂离子电池状态建模在支持工程教育中发挥着至关重要的作用,然而将现有模型应用于课堂却面临着挑战。本文提出了包含19个参数的硬包锂离子电池电化学/热力学分析模型,并提供了高效、简洁的MATLAB代码作为工程教学的教学工具。阐述了锂离子电池在热滥用条件下的电化学/热力学行为演化机理,建立了基于常微分方程的状态评价模型。将高度非线性的动态问题离散为一系列静态问题,利用Levenberg-Marquardt算法求解。MATLAB程序应用于棱柱形和圆柱形锂离子电池,得到临界排气点和状态演变曲线,如温度、压力、产气量、产热率和反应速率。综合结果生动地展示了锂离子电池的电化学和热力学行为的演变,帮助学生掌握课程中的复杂概念。建模和求解的过程,以及对算法参数的讨论,旨在提高学生的编程技能和工程思维。该算法具有二级效率和较好的收敛性,具有较好的课堂应用潜力。
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5.10
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0.00%
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审稿时长
19 weeks
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