Xiaolei Bian
Xiaolei Bian is a postdoctoral researcher in the Automatic Control unit at Chalmers University of Technology. His research focus on advanced battery management systems, with a focus on smart sensor integration, fast charging, battery aging, and modeling. As a project co-PI or PI, he has secured funding from organizations, including the Swedish Energy Agency, the European Commission, and Chalmers Areas of Advance. Dr. Bian serves on the advisory panel for the journal Batteries and has contributed to the organization of international conferences such as the 2024 IEEE International Conference on Prognostics and Health Management (ICPHM) in Stockholm, the 49th Annual Conference of the IEEE Industrial Electronics Society in Singapore, and the inaugural IET Energy Storage Conference in Glasgow. He has served as reviewers for over 15 top-tier journals and several international conferences. Dr. Bian joined Chalmers in 2022. He obtained his PhD in chemical engineering from KTH Royal Institute of Technology, Sweden, in 2021.
Showing 13 publications
Optimal online energy management strategy of a fuel cell hybrid bus via reinforcement learning
Residual Statistics-Based Current Sensor Fault Diagnosis for Smart Battery Management
Comparative study on the performance of capacitive mixing under different operational modes
Battery health evaluation using a short random segment of constant current charging
Data-driven battery state of health estimation based on random partial charging data
A two-step parameter optimization method for low-order model-based state-of-charge estimation
A model for state-of-health estimation of lithium ion batteries based on charging profiles
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Showing 3 research projects
E-powertrain predictive maintenance using physics informed learning (TEAMING)