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Real-time optimization of energy consumption under adaptive cruise control for connected HEVs
JiangyanZHANG,FuguoXU
0
(College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian Liaoning 116600, China;Department of Engineering and Applied Sciences, Sophia University, Tokyo, 102-8554, Japan)
摘要:
This paper presents a real-time energy optimization algorithm for a hybrid electric vehicle (HEV) that operates with adaptive cruise control (ACC). Real-time energy optimization is an essential issue such that the HEV powertrain system is as efficient as possible. With connected vehicle technique, ACC system shows considerable potential of high energy efficiency. Combining a classical ACC algorithm, a two-level cooperative control scheme is constructed to realize real-time power distribution for the host HEV that operates in a vehicle platoon. The proposed control strategy actually provides a solution for an optimal control problem with multi objectives in terms of string stable of vehicle platoon and energy consumption minimization of the individual following vehicle. The string stability and the real-time optimization performance of the cooperative control system are confirmed by simulations with respect to several operating scenarios.
关键词:  Connected vehicle, hybrid electric vehicle, adaptive cruise control, real-time optimization
DOI:https://doi.org/10.1007/s11768-020-0020-7
基金项目:This work was supported by the National Natural Science Foundation (NNSF) of China (No. 61973053).
Real-time optimization of energy consumption under adaptive cruise control for connected HEVs
Jiangyan ZHANG,Fuguo XU
(College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian Liaoning 116600, China;Department of Engineering and Applied Sciences, Sophia University, Tokyo, 102-8554, Japan)
Abstract:
This paper presents a real-time energy optimization algorithm for a hybrid electric vehicle (HEV) that operates with adaptive cruise control (ACC). Real-time energy optimization is an essential issue such that the HEV powertrain system is as efficient as possible. With connected vehicle technique, ACC system shows considerable potential of high energy efficiency. Combining a classical ACC algorithm, a two-level cooperative control scheme is constructed to realize real-time power distribution for the host HEV that operates in a vehicle platoon. The proposed control strategy actually provides a solution for an optimal control problem with multi objectives in terms of string stable of vehicle platoon and energy consumption minimization of the individual following vehicle. The string stability and the real-time optimization performance of the cooperative control system are confirmed by simulations with respect to several operating scenarios.
Key words:  Connected vehicle, hybrid electric vehicle, adaptive cruise control, real-time optimization