TY - GEN
T1 - Energy Management Optimization for Connected Hybrid Electric Vehicle with Offline Reinforcement Learning
AU - Zegong, Niu
AU - Hongwen, He
AU - Yong, Wang
AU - Ruchen, Huang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Recently, offline deep reinforcement learning (DRL) which is a branch of DRL has been widely concerned and sets off an upsurge of researches related to it. In this paper, we apply a new algorithm called batch-constrained deep Q-learning (BCQ) to search the optimal control strategy for hybrid electric vehicles (HEVs). Then, thanks to the superiority of offline DRL, we put forward a scheduled training framework of energy management strategy (EMS) based on connected vehicles. The results show the BCQ based strategy performs well in both the stabilization of battery SoC and the fuel economy, which reaches 95.05% of DP. Offline DRL possesses a significant applied perspective and provides a new approach for power allocation of HEVs.
AB - Recently, offline deep reinforcement learning (DRL) which is a branch of DRL has been widely concerned and sets off an upsurge of researches related to it. In this paper, we apply a new algorithm called batch-constrained deep Q-learning (BCQ) to search the optimal control strategy for hybrid electric vehicles (HEVs). Then, thanks to the superiority of offline DRL, we put forward a scheduled training framework of energy management strategy (EMS) based on connected vehicles. The results show the BCQ based strategy performs well in both the stabilization of battery SoC and the fuel economy, which reaches 95.05% of DP. Offline DRL possesses a significant applied perspective and provides a new approach for power allocation of HEVs.
KW - Cloud Platform
KW - Connected Vehicle
KW - Energy Management Strategy
KW - Offline Deep Reinforcement Learning
UR - http://www.scopus.com/inward/record.url?scp=85136196718&partnerID=8YFLogxK
U2 - 10.1109/ICEIEC54567.2022.9835049
DO - 10.1109/ICEIEC54567.2022.9835049
M3 - Conference contribution
AN - SCOPUS:85136196718
T3 - ICEIEC 2022 - Proceedings of 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication
SP - 103
EP - 106
BT - ICEIEC 2022 - Proceedings of 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication
A2 - Wenzheng, Li
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2022
Y2 - 15 July 2022 through 17 July 2022
ER -