基于驾驶意图识别的HEV模糊控制策略研究  

Research on HEV Fuzzy Control Strategy Based on Driving Intent Recognition

作　　者：廖鹏程 韦文祥[1] 解金沾 喻博 刘家豪 LIAO Pengcheng;WEI Wenxiang;XIE Jinzhan;YU Bo;LIU Jiahao(School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,China)

机构地区：[1]湖南科技大学信息与电气工程学院,湖南湘潭411100

出　　处：《汽车实用技术》2023年第7期66-70,共5页Automobile Applied Technology

基　　金：湖南省教育厅资助科研项目(18A195)。

摘　　要：文章以并联式混合动力汽车为研究对象,针对混合动力汽车的燃油经济性及其控制策略进行研究,采用了驾驶意图识别的模糊控制策略,并通过MATLAB平台和CRUISE软件进行联合仿真实验。仿真结果表明,相比于逻辑门限控制策略,驾驶意图识别的模糊控制策略可以明显提升整车燃油经济性,验证了所提出控制策略的有效性和实用性。In this paper,the fuel economy and control strategy of hybrid vehicles are studied in parallel hybrid vehicles,and the fuzzy control strategy of driving intent recognition is adopted,and the joint simulation experiment is carried out by MATLAB platform and CRUISE software.Simulation results show that compared with the logical threshold control strategy,the fuzzy control strategy of driving intent recognition can significantly improve the fuel economy of the whole vehicle,and verify the effectiveness and practicality of the proposed control strategy.

关 键 词：并联式混合动力汽车 驾驶意图识别 逻辑门限 模糊控制 燃油经济性 

分 类 号：U469.72[机械工程—车辆工程]