Distributed optimal energy consumption control of HEVs under MFG-based speed consensus
Qiaobin FU
Fuguo XU
Tielong SHEN
Kenichi TAKAI
1.Department of Engineering and Applied Sciences, Sophia University, Chiyuda-ku Tokyo 102-8554, Japan2.Department of Engineering and Applied Sciences, Sophia University, Chiyuda-ku Tokyo 102-8554, Japan3.Department of Engineering and Applied Sciences, Sophia University, Chiyuda-ku Tokyo 102-8554, Japan4.Department of Engineering and Applied Sciences, Sophia University, Chiyuda-ku Tokyo 102-8554, Japan
摘要:This paper investigates a distributed optimal energy consumption control strategy under mean-field game based speed consensus.Large scale vehicles in a traffic flow is targeted instead of individual vehicles,and it is assumed that the propulsion power of vehicles is hybrid electric powertrain.The control scheme is designed in the following two stages.In the first stage,in order to achieve speed consensus,the acceleration control law is designed by applying the MFG (mean-field game) theory.In the second stage,optimal powertrain control for minimizing energy consumption is obtained through coordinate the engine and the motor under the acceleration constraint.The simulation is conducted to demonstrate the effectiveness of the proposed control strategy.
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论文发表日期:2020-05-05
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( 193-203 )
英文信息展开
控制理论与技术(英文版)

控制理论与技术(英文版)

EI
ISSN:2095-6983
年,卷(期):2020,18(2)
所属栏目:Special issue on multiagent-based system modeling and control practices