基于工况识别的纯电动汽车2DCT换挡策略研究  

Research on Shift Strategy of 2DCT for Pure Electric Vehicle Based on Driving Condition Identification

作　　者：曹志鹏 陈勇 贺伯林 肖森 高炳钊 殷学冰 Cao Zhipeng;Chen Yong;He Bolin;Xiao Sen;Gao Bingzhao;Yin Xuebing(Hebei University of Technology,Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles,Tianjin 300130;School of Mechanical Engineering,Guangxi University,Nanning 530004;School of Automotive Studies,Tongji University,Shanghai 201804)

机构地区：[1]河北工业大学,天津市新能源汽车动力传动与安全技术重点实验室,天津300130 [2]广西大学机械工程学院,南宁530004 [3]同济大学汽车学院,上海201804

出　　处：《汽车工程》2024年第10期1873-1885,1927,共14页Automotive Engineering

基　　金：广西科技重大专项(2023AA09006)资助。

摘　　要：为使纯电动汽车具有更好的经济性,同时保持较好的动力性,针对自主研发的纯电动汽车两挡干式双离合变速器(2DCT),提出一种基于工况识别的实时换挡策略。通过径向基神经网络预测车速,利用动态规划提取7种循环工况的最优换挡点,并搭建基于相似度比对的工况识别模型,对车辆行驶工况进行识别,实现实时换挡。基于MATLAB/Simulink进行仿真并完成2DCT台架实验。结果表明,提出的基于工况识别的实时换挡策略能同时兼顾车辆的经济性和换挡频率。In order to enhance the economic performance of pure electric vehicles(EVs)while maintaining better dynamic performance,a real-time shifting strategy based on driving cycle recognition is proposed for the self-developed two-speed dry dual clutch transmission(2DCT)for EVs.A radial basis neural network is adopted to predict the vehicle speed and the optimal shifting points are extracted by dynamic programming for seven types of driving cycle.Then,a driving cycle recognition model based on similarity comparison is constructed to recognize vehicle-driving conditions so as to achieve real-time shifting.The simulation based on MATLAB/Simulink and the 2DCT bench experiments are completed.The results demonstrate that the proposed real-time shifting strategy based on condition recognition can simultaneously meet the requirements of economic performance and shift frequency.

关 键 词：纯电动汽车 两挡干式双离合变速器 换挡策略 工况识别 

分 类 号：U469.72[机械工程—车辆工程]