摘要
基于大量的工况数据建立辨识模型,实现了对制动意图的准确识别。在此基础上优化了再生制动的控制策略。仿真结果表明,通过制动意图识别可有效地优化混合动力汽车再生制动的控制策略,从而进一步改善混合动力汽车制动时的驾驶感觉和燃油经济性。
Based on a large number of working condition data, an identification model is built, with which the braking intention of driver can be identified accurately. On this basis the control strategy for regenerative braking is optimized. The simulation results show that the control strategy for HEV regenerative braking can be optimized ef- fectively by braking intention identification, thus the driving feel during braking and fuel economy of HEV can be further improved.
出处
《汽车工程》
EI
CSCD
北大核心
2013年第9期769-774,831,共7页
Automotive Engineering
基金
国家863计划项目(2006AA11A184)资助
关键词
混合动力汽车
再生制动
滑行制动
制动意图识别
HEV
regenerative braking
coasting/braking
braking intention identification
