Modelling and control for economy‐oriented car‐following problem of hybrid electric vehicle. Issue 5 (21st January 2019)

• Record Type: Journal Article
• Authors: Sun, Yong; Wang, Xiangyu; Li, Liang; Shi, Jialei; An, Quan
• Is Part Of: IET intelligent transport systems. Volume 13:Issue 5(2019)
• Page Start: 825
• Page End: 833
• Publication Date: 2019-01-21
• Subjects: power transmission (mechanical) -- energy management systems -- hybrid electric vehicles -- optimisation -- predictive control -- fuel economy; series control -- economy‐oriented car‐ -- intelligent hybrid electric vehicle -- economy‐oriented car‐following issue -- comprehensive problem -- dynamic performances -- economic performances -- adaptive cruise control -- ACC -- energy management strategy -- EMS -- HEV energy optimisation problem -- economy‐oriented HEV car -- efficiency model -- HEV powertrain -- economic index -- comprehensive optimal solution -- fusion control -- model predictive control method; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2018.5421
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : For an intelligent hybrid electric vehicle (HEV), the economy‐oriented car‐following issue is a comprehensive problem of dynamic and economic performances, which involves in adaptive cruise control (ACC) and energy management strategy (EMS). In this study, three problems are formulated and analysed, which are a car‐following problem, HEV energy optimisation problem, and economy‐oriented HEV car‐following problem. In fact, the third problem includes the first and second problem. To describe the problems well, a novel efficiency model of HEV powertrain is proposed, and it is used to define the economic index for evaluation. The three problems can be solved by ACC, EMS, and combination of ACC and EMS. The comprehensive optimal solution for the third problem is analysed, which indicates that the fusion control is better than series control theoretically. Finally, a model predictive control method is used to compare the performances of fusion control with that of series control for a specific driving cycle. The results show that the fuel consumption of fusion control is less than that of series control by ∼5%.