@inproceedings{0db86d604b4c4a6e8343d30d9c9cd0e0,
title = "DDPG-guided Adaptive Equivalent Consumption Minimization Strategy for a Range-Extended Electric Vehicle",
abstract = "To improve the optimality without significantly increasing the computational burden, this paper proposes a DDPG-guided adaptive equivalent consumption minimization strategy (A-ECMS) for a range-extended electric vehicle. DDPG agent is trained to find the optimal equivalent factor sequence by trial and error and ECMS is used to achieve power distribution based on numerical optimization. In real-time applications, the actor network outputs the equivalent factors based on the vehicle states. This architecture can combine the exploration capability of DDPG with the stable and efficient optimization capability of ECMS. Simulation results show that the equivalent fuel consumption of DDPG-guided A-ECMS is reduced by 7.1% compared with that of PI-based A-ECMS.",
keywords = "A-ECMS, DDPG, energy management, range-extended electric vehicle",
author = "Xu Wang and Ying Huang and Jian Wang and Chengliang Luo",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/CVCI56766.2022.9964714",
language = "English",
series = "2022 6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022",
address = "United States",
}