基于工况预测的两挡纯电动汽车换挡策略研究  

Research on Shift Strategy of Two-Speed Pure Electric Vehicle Based on Condition Prediction

作　　者：李敏 李琤[1] 鲁业安[1] LI Min;LI Cheng;LU Ye’an(College of Automobile and Rail,Anhui Technical College of Mechanical and Electrical Engineering,Anhui Wuhu 241000,China)

机构地区：[1]安徽机电职业技术学院汽车与轨道学院,安徽芜湖241000

出　　处：《机械设计与制造》2025年第3期18-22,共5页Machinery Design & Manufacture

基　　金：安徽省高校自然科学研究项目(KJ2020A1104、KJ2020A1098);第二批国家级职业教育教师教学创新团队“汽车制造与试验技术”(教师函[2021]7号)。

摘　　要：以降低纯电动汽车百公里能耗为目标,针对两挡变速器的换挡策略进行优化研究。基于马尔科夫链模型进行了NEDC工况的未来运行状态预测,得到的车速预测结果接近实际工况,并将其作为进行纯电动汽车换挡策略控制器的输入。以搭载两挡变速系统的某纯电动汽车为研究对象,利用MATLAB/Simulink搭建仿真模型并进行经济性仿真,采用两参数控制换挡,求解其最优换挡策略,对比了NEDC、CLTC-P两种工况下的两种换挡策略的能耗表现。结果表明,与传统经济性换挡策略相比较,采用动态规划后的换挡策略整车能够降低约5%能耗,更利于提升续航里程。In order to reduce the energy consumption of 100km of pure electric vehicles,the shift strategy of two-speed is optimized.Based on Markov chain model,the future running state of NEDC working condition is predicted,and the velocity prediction result is close to the actual working condition,which is used as the input of shift strategy controller for pure electric vehicle.Taking a pure electric vehicle equipped with a two-speed transmission system as the research object,the simulation model is built by MATLAB/Simulink and the economic simulation is carried out.The shifting operation is controlled by two parameters used to solve the optimal shift strategy,and the energy consumption performance of the two shift strategies under NEDC and CLTC-P working conditions is compared.Compared with the traditional economical shift strategy,the results show that the energy consumption of the whole vehicle is reduced by about 5%after the shift strategy used dynamic programming,which is more conducive to improving the range.

关 键 词：工况预测 两挡变速器 动态规划 换挡规律 

分 类 号：TH16[机械工程—机械制造及自动化] U462[机械工程—车辆工程]