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作 者:陈鑫[1] 赵康明 沈传亮[1] 郑开铭 吕伟 CHEN Xin;ZHAO Kangming;SHEN Chuanliang;ZHENG Kaiming;Lü Wei(State Key Laboratory of Automobile Simulation and Control,Jilin University,Changchun 130025,China;China FAW Corproation Limited Jiefang Business Division Commercial Vehicle Development Institute,Changchun 130011,China)
机构地区:[1]吉林大学汽车仿真与控制国家重点实验室,吉林长春130025 [2]一汽解放有限公司商用车开发院,吉林长春130011
出 处:《同济大学学报(自然科学版)》2020年第10期1470-1477,共8页Journal of Tongji University:Natural Science
基 金:国家重点研发计划(2016YFB0101601-7);国家自然科学基金(51875237);吉林省省校共建计划专项(SXGJSF2017-2-1-5)。
摘 要:针对电动车全铝框架式车身优化时应当兼顾多种类型的型材和板材变量的问题,提出一种基于拓扑优化及隐式参数化模型的集成多目标优化方法。为了获得材料分布及载荷传递合理的框架式车身结构作为后续多目标优化的参考,概念设计阶段对原车身进行拓扑优化设计。基于拓扑优化结果建立车身隐式参数化模型,并利用参数化模型建立响应面近似模型以实现全铝框架式车身多目标优化的自动流程化。结果表明,全铝框架式车身在各项性能保持在目标范围的前提下减重11.9%。因此,基于拓扑优化及隐式参数化模型的集成多目标优化方法能够有效提高全铝框架式车身轻量化优化的效率和准确性。An integrated multi-objective optimization method is proposed based on topology optimization and the implicit parameterized model to solve the problem that multiple types of section and plate variables should be considered when optimizing the aluminum alloy frame body of an electric vehicle.In order to obtain the frame body structure with a reasonable material distribution and load transfer as a reference for subsequent multi-objective optimization,the topology optimization design of the original body is conducted in the conceptual design stage.Then,the implicit parametric model of the vehicle body is built based on the topology optimization results and a response surface approximation model is established by using the parametric model to realize the automatic process of multi-objective optimization of aluminum alloy frame body.The results show that the all-aluminum frame body reduces weight by 11.9%while maintaining various performances within the target range.Therefore,the integrated multi-objective optimization method proposed based on topology optimization and the implicit parametric model can effectively improve the efficiency and accuracy of lightweight optimization of aluminum alloy frame body.
关 键 词:电动车全铝框架式车身 拓扑优化 隐式参数化模型 集成多目标优化方法
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