Zhen Wang (王震)
PhD Student at BIT

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 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 develop intelligent systems for understanding battery behavior and enabling advanced energy solutions beyond conventional capabilities.

• Publications
• Contact

• Feb 2, 2026 Our paper UV-M3TL: A Unified and Versatile Multimodal Multi-Task Learning Framework for Assistive Driving Perception is available on arXiv.
• Jun 29, 2025 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.
• Jun 25, 2025 Our paper TEM3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving was accepted to IROS 2025.
• Sep 1, 2024 I joined Prof. Wenwei Wang's research group as a doctoral student at Beijing Institute of Technology (BIT).
• Jan 28, 2024 Our paper An On-line SOH estimation method for power battery under low sampling rate appears in Journal of Energy Storage.