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Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution 被引量:2
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作者 Fuguo Xu hiroki tsunogawa +5 位作者 Junichi Kako Xiaosong Hu Shengbo Eben Li Tielong Shen Lars Eriksson Carlos Guardiola 《Control Theory and Technology》 EI CSCD 2022年第2期145-160,共16页
In this paper,we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles(HEVs)on a road with slope.Moreover,it is assumed that the targeted HEVs are in the conne... In this paper,we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles(HEVs)on a road with slope.Moreover,it is assumed that the targeted HEVs are in the connected environment with the obtainment of real-time information of vehicle-to-everything(V2X),including geographic information,vehicle-to-infrastructure(V2I)information and vehicle-to-vehicle(V2V)information.The provided simulator consists of an industrial-level HEV model and a traffic scenario database obtained through a commercial traffic simulator,where the running route is generated based on real-world data with slope and intersection position.The benchmark problem to be solved is the HEVs powertrain control using traffic information to fulfill fuel economy improvement while satisfying the constraints of driving safety and travel time.To show the HEV powertrain characteristics,a case study is given with the speed planning and energy management strategy. 展开更多
关键词 Powertrain control Connected and automated vehicles Hybrid electric vehicles Vehicle-to-everything
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