Real-time energy-efficient anticipative driving control of connected and automated hybrid electric vehicles
Shiying Dong1
Hong Chen2
Lulu Guo3
Qifang Liu4
Bingzhao Gao5
1.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,China2.Department of Control Science and Engineering,Jilin University,Changchun 130025,Jilin,China;Department of Control Science and Engineering,Tongji University,Shanghai 200092,China3.Department of Control Science and Engineering,Tongji University,Shanghai 200092,China4.Department of Control Science and Engineering,Jilin University,Changchun 130025,Jilin,China5.Clean Energy Automotive Engineering Center,Tongji University,Shanghai 200092,China
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.
机标关键词：real-timecontrolhybridenergyelectricanticipativeautomatedconnected
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：11( 210-220 )
英文信息