Real-time energy management strategy based on predictive cruise control for hybrid electric vehicles
Xiongxiong You1
Xiaohong Jiao1
Zeyi Wei2
Yahui Zhang2
1.Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment,Yanshan University,Qinhuangdao 066000,Hebei,China;School of Electrical Engineering,Yanshan University,Qinhuangdao 066000,Hebei,China2.School of Mechanical Engineering,Yanshan University,Qinhuangdao 066000,Hebei,China
摘要：With the help of traffic information of the connected environment,an energy management strategy(EMS)is proposed based on preceding vehicle speed prediction,host vehicle speed planning,and dynamic programming(DP)with PI correction to improve the fuel economy of connected hybrid electric vehicles(HEVs).A conditional linear Gaussian(CLG)model for estimating the future speed of the preceding vehicle is established and trained by utilizing historical data.Based on the predicted information of the preceding vehicle and traffic light status,the speed curve of the host vehicle can ensure that the vehicle follows safety and complies with traffic rules simultaneously as planned.The real-time power allocation is composed of offline optimization results of DP and the real-time PI correction items according to the actual operation of the engine.The effectiveness of the control strategy is verified by the simulation system of HEVs in the interconnected environment established by E-COSM 2021 on the MATLAB/Simulink and CarMaker platforms.
机标关键词：managementreal-timestrategycruisecontrolhybridenergyelectric
论文发表日期：2022-01-01
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( 161-172 )
英文信息