基于支持向量机的纯电动汽车经济性换挡控制

Economic shift strategy for pure electric vehicle based on SVM

为了延长纯电动汽车续驶里程,文章应用基于支持向量机的方法对纯电动汽车实现经济性换挡控制,通过试验数据获得电机、逆变器和变速器的效率特性,建立纯电动汽车的能量消耗模型;在城市道路循环工况(UDDS)下应用车速和加速度双参数获得经济性最优挡位信息,形成学习数据库;应用支持向量机分类器和传统换挡规律在欧洲行驶工况(ECE)下进行在线预测和仿真对比。该文对纯电动汽车变速器智能换挡控制的研究,对于提高整车经济性具有一定的理论意义和实用价值。

Aiming to increase driving range, an economic shift strategy for pure electric vehicle is proposed by using the method of support vector machine（SVM）. Firstly, the efficiency characteristics of motor, inverter and transmission are obtained through the experimental data and the power consumption model of pure electric vehicle is established. Secondly, the most economic gear ratios as learning database under UDDS driving cycle are gotten by using the velocity and acceleration as two input parameters. Finally, the application of SVM classifier works out the results and the simulation verifies that the shift strategy is more excellent than traditional one under ECE driving cycle. The research on intellectual shift strategy is of theoretical and practical significance in enhancing the economic characteristics of vehicles.