@inproceedings{d057368f3197498cbdf2ec1a98e8c640,
title = "Energy Management for Hybrid Electric Vehicle Using Domain Control Under Vehicle-Road-Cloud Communication Architecture",
abstract = "This paper proposes an energy management strategy for hybrid electric vehicles using domain control under vehicle-road-cloud communication architecture. Representative driving cycles can be generated under this communication framework and are used for power split optimization using a reinforcement learning algorithm. Simulation is conducted to verify the effectiveness of the proposed method. Results show the proposed method could achieve desirable fuel-economy performance by coordinating the power between battery and engine.",
keywords = "Energy Management, Hybrid Electric Vehicle, Reinforcement Learning, Vehicle-road-cloud Framework",
author = "Jie Fan and Yijie Chen and Xudong Zhang and Tao Zhang and Basilio Lenzo",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 2nd CCF Intelligent Vehicles Symposium, CIVS 2024 ; Conference date: 19-10-2024 Through 20-10-2024",
year = "2025",
doi = "10.1007/978-981-95-0848-8\_5",
language = "English",
isbn = "9789819508471",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "53--61",
editor = "Huiyun Li and Peng Sun and Daxin Tian and Zhengguo Sheng and Victor Leung and Huaxia Xia and Yong Hong",
booktitle = "Intelligent Vehicles - 2nd CCF Intelligent Vehicles Symposium, CIVS 2024, Revised Selected Papers",
address = "Germany",
}