典型文献
Real-time energy-efficient anticipative driving control of connected and automated hybrid electric vehicles
文献摘要：
In this paper,we propose a real-time energy-efficient anticipative driving control strategy for connected and automated hybrid electric vehicles(HEVs).Considering the inherent complexities brought about by the velocity profile optimization and energy management control,a hierarchical control architecture in the model predictive control(MPC)framework is developed for real-time implementation.In the higher level controller,a novel velocity optimization problem is proposed to realize safe and energy-efficient anticipative driving.The real-time control actions are derived through a computationally efficient algorithm.In the lower level controller,an explicit solution of the optimal torque split ratio and gear shift schedule is introduced for following the optimal velocity profile obtained from the higher level controller.The comparative simulation results demonstrate that the proposed strategy can achieve approximately 13％fuel consumption saving compared with a benchmark strategy.
文献关键词：
中图分类号：
作者姓名：
Shiying Dong;Hong Chen;Lulu Guo;Qifang Liu;Bingzhao Gao
作者机构：
State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130025,Jilin,China;Department of Control Science and Engineering,Jilin University,Changchun 130025,Jilin,China;Department of Control Science and Engineering,Tongji University,Shanghai 200092,China;Clean Energy Automotive Engineering Center,Tongji University,Shanghai 200092,China
文献出处：
引用格式：
[1]Shiying Dong;Hong Chen;Lulu Guo;Qifang Liu;Bingzhao Gao-.Real-time energy-efficient anticipative driving control of connected and automated hybrid electric vehicles)[J].控制理论与技术（英文版）,2022(02):210-220
A类：
anticipative,HEVs
B类：
Real,energy,efficient,driving,connected,automated,hybrid,electric,vehicles,In,this,paper,strategy,Considering,inherent,complexities,brought,about,by,velocity,profile,optimization,management,hierarchical,architecture,model,predictive,MPC,framework,developed,implementation,higher,level,controller,novel,problem,proposed,realize,safe,actions,derived,through,computationally,algorithm,lower,explicit,solution,optimal,torque,split,ratio,gear,shift,schedule,introduced,following,obtained,from,comparative,simulation,results,demonstrate,that,can,achieve,approximately,fuel,consumption,saving,compared,benchmark
AB值：
0.537165
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