基于萤火虫算法纯电动汽车参数匹配优化

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英文篇名：Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm 作者：李燕 ; 何怡刚 英文作者：Li Yan;He Yigang;College of Electrical and Information Engineering, Hunan University;School of Electrical Engineering and Automation, Hefei University of Technology; 关键词：电动汽车 ; 建模与仿真 ; 匹配优化 ; 多目标函数 ; 萤火虫算法 英文关键词：electric vehicle;;modeling and simulation;;matching optimization;;multi-objective function;;firefly algorithm 中文刊名：XTFZ 英文刊名：Journal of System Simulation 机构：湖南大学电气与信息工程学院;合肥工业大学电气与自动化工程学院; 出版日期：2019-04-08 出版单位：系统仿真学报 年：2019 期：v.31 基金：国家自然科学基金(51577046);国家自然科学基金重点项目(51637004);; 国家重点研发计划“重大科学仪器设备开发”项目(2016YFF0102200) 语种：中文; 页：XTFZ201904025 页数：7 CN：04 ISSN：11-3092/V 分类号：199-205

摘要

根据某型号纯电动汽车技术指标及设计要求,对动力性能及经济性能相关的主要参数进行了计算及选择,主要涉及电机及电池两部分。基于汽车仿真软件ADVISOR建立纯电动汽车整车模型,设置计算选择所得的相应参数进行仿真验证,分析匹配所得的各项参数是否满足汽车性能要求。在匹配满足要求的基础上建立了动力性能、成本价格及经济性能的多目标函数,通过萤火虫算法对该目标函数进行优化,优化后的参数使得整车的动力性能和经济性性能得到较大的提升,成本价格也有所下降,有效提高了纯电动汽车实用性。
        According to the design requirements and technical index of pure electric vehicle, the parameters of motor and battery related to power and economic performance are selected based on the computing results. Based on ADVISOR, a vehicle model of pure electric vehicle is established in MATLAB environment with the corresponding parameters validating the simulation results. On this basis, the multi-objective function is established, which includes the power performance, economic performance and cost price. This function is optimized by the firefly algorithm, which makes the dynamic parameters, the dynamic performance and economy performance of pure electric vehicle be improved significantly and the cost prices be declined. The practical performance of pure electric vehicle obtains the enhancement effectively.

引文

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