About me

I received the B.Eng. degree in vehicle engineering from Fuzhou University, Fuzhou, China, in 2017. I am pursuing the M.Sc. degree in the School of Mechanical Engineering, Beijing Institute of Technology(Bit), Beijing, China. My graduate advisors are Prof. Huachun Tan and Dr. Yuankai Wu, who greatly help me during my study at Bit.

My current research interests include machine learning and the energy management of the hybrid electric vehicles. With the aim to facilitate the applications of deep reinforcement learning (DRL) on energy management system, I focuse on the rule-interposing DRL and the knowledge transfer between different types of hybrid electric vehicles.

Research Interests

• Deep reinforcement learning

• Hybrid electric vehicle & Energy management system

• Transfer learning

• Intelligent decision-making and control

Publications

• Lian, R., J. Peng, Y. Wu*, H. Tan, & H. Zhang. Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle. Energy, 117297, 2020. & Code

• Lian, R., H. Tan, J. Peng, Q. Li, Y. Wu. Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management, IEEE Transactions on Vehicular Technology, 2020. & Code

News

• May 2020: A paper titled “Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management” is accepted by journal IEEE Transactions on Vehicular Technology.

• Mar. 2020: A paper titled “Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle” is accepted by journal Energy.