山东建筑大学学报2026，Vol.41Issue(3)：57-67,134,12.DOI:10.12077/sdjz.2026.03.007
基于3D模型的电池电化学-热耦合数值模拟与预测分析
Analysis of electrochemical-thermal coupling and prediction of electrothermal properties of square lithium-ion batteries under multi-factor influence based on 3D model
摘要
Abstract
Energy shortage and environmental pollution have driven the widespread adoption of lithium-ion batteries,however,effective temperature control during charging and discharging needs to be overcome,so it is of great significance to investigate the electrothermal characteristics of lithium-ion batteries.A 3D electrochemical-thermal coupled model of a 150 Ah lithium iron phosphate battery was established using simulation technology to simulate thermal behavior under different charging rates The synergistic effects of multiple electrochemical variables and temperature variables were investigated by the structure vector autoregressive model(SVAR),and an integrated learning regression prediction system was developed to improve the research efficiency.The results indicate that the increase of charging rate will increase the temperature and temperature difference of the battery,and the temperature difference exceeds 5℃when charging at high rate(1.3C,1.5C),the heat generation rate accelerates significantly,with the most pronounced increase in reversible heat.The relationship between battery electrochemistry and heat is complex.At a charging rate of 0.5C,voltage,current density,battery capacity and maximum temperature difference are significantly positively correlated with p<0.001.During 1.0C discharge,the voltage is significantly positively correlated with most of the thermal characteristic variables,with correlation coefficients ranging from-0.973 to 0.949 under different conditions.The integrated learning regression prediction system shows high prediction accuracy and strong generalization and trend analysis capabilities,which can provide support for battery thermal management.关键词
锂离子电池/电化学-热耦合/电热特性/预测Key words
lithium-ion battery/electrochemical-thermal coupling/electric heating characteristics/forecast分类
建筑与水利引用本文复制引用
周雪,周世玉,朱相源,张谦,刘吉营..基于3D模型的电池电化学-热耦合数值模拟与预测分析[J].山东建筑大学学报,2026,41(3):57-67,134,12.基金项目
国家重点研发计划项目(2024YFE0106800) （2024YFE0106800）
山东省高等学校青创人才引育计划创新团队项目(鲁教科函[2021]51号) （鲁教科函[2021]51号）
