Model predictive control for hybrid vehicle ecological driving using traffic signal and road slope information
Kaijiang YU
Junqi YANG
Daisuke YAMAGUCHI
摘要：This paper presents development of a control system for ecological driving of a hybrid vehicle. Prediction using traffic signal and road slope information is considered to improve the fuel economy. It is assumed that the automobile receives traffic signal information from intelligent transportation systems (ITS). Model predictive control is used to calculate optimal vehicle control inputs using traffic signal and road slope information. The performance of the proposed method was analyzed through computer simulation results. Both the fuel economy and the driving profile are optimized using the proposed approach. It was observed that fuel economy was improved compared with driving of a typical human driving model.
机标关键词：traffic signaltransportation systemssimulation resultspredictive controlcontrol systemdriving model
资助基金：National Natural Science Foundation of China()National Natural Science Foundation of China(51405137)National Natural Science Foundation of China(61403129)the Key Scientific Research Program of the Higher Education Institutions of Henan Province(15A470014)
论文发表日期：2015-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 17-28 )
英文信息