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Distributed optimal energy consumption control of HEVs under MFG-based speed consensus
QiaobinFU,FuguoXU,TielongSHEN,KenichiTAKAI
0
(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.
关键词:  Mean-field games (MFGs), speed consensus, powertrain control, hybrid electric vehicles (HEVs)
DOI:https://doi.org/10.1007/s11768-020-0021-6
基金项目:This work was supported in part by Toyota Motor Corporation, Japan.
Distributed optimal energy consumption control of HEVs under MFG-based speed consensus
Qiaobin FU,Fuguo XU,Tielong SHEN,Kenichi TAKAI
(Department of Engineering and Applied Sciences, Sophia University, Chiyuda-ku Tokyo 102-8554, Japan)
Abstract:
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.
Key words:  Mean-field games (MFGs), speed consensus, powertrain control, hybrid electric vehicles (HEVs)