Speed planning and energy management strategy of hybrid electric vehicles in a car-following scenario
Shengyan Hou1
Hong Chen2
Yu Zhang3
Jinwu Gao1
1.State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,Jilin,China;Department of Control Science and Engineering,Jilin University,Changchun 130025,Jilin,China2.Department of Control Science and Engineering,Jilin University,Changchun 130025,Jilin,China;Department of Control Science and Engineering,Tongji University,Shanghai 200092,China3.Suzhou Zhito Technology Co.,Ltd.,Suzhou 215129,Jiangsu,China
摘要：The development of intelligent connected technology has brought opportunities and challenges to the design of energy management strategies for hybrid electric vehicles.First,to achieve car-following in a connected environment while reducing vehicle fuel consumption,a power split hybrid electric vehicle was used as the research object,and a mathematical model including engine,motor,generator,battery and vehicle longitudinal dynamics is established.Second,with the goal of vehicle energy saving,a layered optimization framework for hybrid electric vehicles in a networked environment is proposed.The speed planning problem is established in the upper-level controller,and the optimized speed of the vehicle is obtained and input to the lower-level controller.Furthermore,after the lower-level controller reaches the optimized speed,it distributes the torque among the energy sources of the hybrid electric vehicle based on the equivalent consumption minimum strategy.The simulation results show that the proposed layered control framework can achieve good car-following performance and obtain good fuel economy.
机标关键词：managementstrategyscenariohybridenergyelectricspeedcar-following
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( 185-196 )
英文信息