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作 者:刘文涛 夏正廷 Liu Wentao;Xia Zhengting(Lanzhou Institute of Information Technology,Lanzhou 730000,China)
出 处:《专用汽车》2025年第4期78-80,共3页Special Purpose Vehicle
基 金:甘肃省教育科学“十四五”规划2022年度一般课题“线上线下混合教学模式在专业课程教学中的应用与研究”(GS[2022]GHB1931)。
摘 要:电动汽车的外形设计对其续驶里程和热管理性能影响重大,它需要同时考虑低风阻和良好的降温散热性能。传统的外形优化设计都是将这两个方面分开处理,导致设计目标之间存在矛盾和冲突。针对上述问题,提出了电动汽车外形低风阻及降温散热一体化设计的优化路径,探究了多学科优化设计框架,并应用于基于机器学习的外形优化技术。该优化路径有助于在电动汽车外形设计初期阶段权衡性能指标,获得整体最优解,为提高电动汽车的经济性和可靠性奠定基础。The exterior design of electric vehicles has a significant impact on their driving range and thermal management performance,and it is necessary to consider both low wind resistance and good cooling and heat dissipation performance.Traditional shape optimization design often treats these two aspects separately,resulting in contradictions and conflicts between design goals.In view the problems,the optimization path is proposed about low wind resistance and integrated cooling and heat dissipation design of electric vehicles.It explores a multidisciplinary optimization design framework and applies machine learning based shape optimization techniques.This optimization path helps to balance performance indicators in the early stages of electric vehicle shape design,obtain the overall optimal solution,and lay the foundation for improving the economy and reliability of electric vehicles.
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