About

I am a doctoral student at the Division of Energy–Mobility Convergence, Beijing Institute of Technology (BIT), Zhuhai, studying with Prof. Wenwei Wang and Assoc. Prof. Yiding Li. I am also jointly trained with the National Engineering Research Center of Electric Vehicles (BIT, Beijing) and the Shenzhen Automotive Research Institute (BIT, Shenzhen). Our research group is part of the prestigious team led by Academician Fengchun Sun, a pioneer in the field of electric vehicles in China.

My research focuses on battery state estimation and smart battery technologies. I am dedicated to developing intelligent systems that enhance our understanding of battery behavior and enable advanced energy solutions beyond conventional capabilities.

Publications

A data-efficient method for lithium-ion battery state-of-health estimation based on real-time frequent itemset image encoding
Zhen Wang, Li Zhao*, Yiding Li, and Wenwei Wang
Applied Energy, 2025
[Paper]
Impact Factor: 11.0
TEM3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving
Wenshuo Liu, Yicheng Qiao, Zhen Wang, ... , Huaping Liu, and Wenshuo Wang*
International Conference on Intelligent Robots and Systems (IROS 2025)
[Paper] [Code]
An On-line SOH estimation method for power battery under low sampling rate
Li Zhao, Zhen Wang*, Zhanchao Ma, and Yuqi Li
Journal of Energy Storage, 2024
[Paper]
Impact Factor: 9.8
A sticky sampling and Markov state transition matrix based driving cycle construction method for EV
Li Zhao, Kun Li*, ... , Zhen Wang
Energies, 2022
[Paper]
Impact Factor: 3.2

News

[2025/06/29] Publications updated: our paper A data-efficient method for lithium-ion battery state-of-health estimation based on real-time frequent itemset image encoding appears in Applied Energy.

[2025/06/25] Publications updated: our paper TEM3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving accepted to IROS 2025.

[2024/09/01] I joined Prof. Wenwei Wang's research group as a doctoral student at the Beijing Institute of Technology (BIT).

[2024/01/28] Publications updated: our paper An On-line SOH estimation method for power battery under low sampling rate appears in Journal of Energy Storage.

Contact

Energy and Transportation Domain,
Beijing Institute of Technology,
Zhuhai, 519088, China
Email: zwang@bit.edu.cn