Real-time energy optimization of HEVs under-connected environment:a benchmark problem and receding horizon-based solution
Fuguo Xu1
Hiroki Tsunogawa2
Junichi Kako2
Xiaosong Hu3
Shengbo Eben Li4
Tielong Shen1
Lars Eriksson5
Carlos Guardiola6
1.Department of Engineering and Applied Sciences,Sophia University,Tokyo 102-8554,Japan2.Higashi-Fuji Research Center,Toyota Motor Corporation,Shizuoka 410-1107,Japan3.The State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,China4.The State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China5.Vehicular Systems,Department Electrical Engineering,Link?ping University,SE 581 83,Link?ping,Sweden6.Departamento de Máquinas y Motores Térmicos,Universitat Politècnica de València,Camino de Vera s/n,46022 Valencia,Spain
摘要：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.
机标关键词：optimizationenvironmentbenchmarkreal-timesolutionenergyhevshorizon-based
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：16( 145-160 )
英文信息