重庆理工大学学报2025，Vol.39Issue(1)：132-139,8.DOI:10.3969/j.issn.1674-8425(z).2025.01.017
锂离子电池冷板仿生散热结构拓扑优化研究
Research on optimization of lithium-ion battery bionic heat dissipation structure topology
摘要
Abstract
With the implementation of"carbon neutrality"strategy,new energy vehicles have been maintaining a fast growing momentum.Lithium-ion batteries,as the heart of new energy vehicles,hold the key to their power capabilities,service longevity,and operational stability.When working,lithium-ion batteries produce a substantial amount of heat,which exerts a detrimental impact on the electric vehicles'(Evs')overall performance.The accumulation of heat on Evs may cause hazards such as fire or explosions.Therefore,battery thermal management has garnered keen academic interest.Condenser plates represent one of the most efficient cooling methods. By leveraging the variable density method and the principles of bionics,we design a cold plate model.Proper design variables are selected and corresponding constraint conditions are established.The RAMP interpolation model is employed to conduct inverse permeability interpolation and convex function interpolation,thereby accurately interpolating the physical attributes of the materials within the cold plate model.The SNOPT optimization algorithm is adopted as the optimization approach,with the minimization of the average temperature and the flow dissipation serving as the multi-objective optimization functions to execute topological optimization on the cold plate design area.Meanwhile,an investigation is made to analyze the impacts of diverse fluid volume fractions and weighting coefficients on the heat dissipation of the topologically optimized model. Our findings demonstrate under identical conditions,a fluid volume fraction of 0.6 aligns more closely with the practical design prerequisites,and when the weighting coefficient ratio stands at 0.9∶0.1,the heat dissipation efficacy reaches its peak.To thoroughly assess the heat dissipation of the lung-like cold plate,a three-dimensional cold plate model is built and a conventional direct current channel model with identical conditions is developed.To enhance the precision of computational results,a structured grid is utilized to partition the models,and a verification of the independence of the grid quantity is performed.The lung-like cold plate model and the conventional direct current channel model are then imported into simulation software for a comparative simulation analysis. Our results reveal the maximum temperature differences between the stable temperatures of the conventional cold plate and the optimized one are 307.7 K and 305.4 K respectively.After topological optimization,the average temperature of the cold plate is 2.3 K lower than that of the conventional cold plate.The optimized one exhibits a smaller pressure differential compared to the conventional one,with the maximum pressure drop being reduced by 26.4%.In a high-temperature environment,the heat dissipation of the optimized cold plate also surpasses that of the conventional one.To verify the accuracy of the simulation results,an experimental simulation is conducted in accordance with the actual heat dissipation conditions of the cold plate,and multiple experiments are conducted.A comparative analysis of simulation and experimental data is made,which indicates the disparity between the experimental and the simulation data is statistically insignificant.Our experimental results further demonstrate our optimized cold plate achieves a more robust heat dissipation.关键词
锂离子电池热管理系统/冷板/拓扑优化/压降Key words
lithium-ion battery thermal management system/cold board/topology optimization/pressure drop分类
信息技术与安全科学引用本文复制引用
张琳,程晓军..锂离子电池冷板仿生散热结构拓扑优化研究[J].重庆理工大学学报,2025,39(1):132-139,8.基金项目
国家自然科学基金项目(51306030) （51306030）
