Xiaolei Bian

Xiaolei Bian is a Researcher in the Automatic Control unit at Chalmers University of Technology, specializing in advanced battery management systems. He joined Chalmers in 2022 after completing his PhD at KTH Royal Institute of Technology, bringing expertise at the intersection of control engineering and electrochemistry.

Dr. Bian earned his PhD in chemical engineering from KTH Royal Institute of Technology, Sweden, in 2021. His educational background combines deep knowledge of electrochemical processes with engineering principles, positioning him uniquely to address complex challenges in battery technology.

His primary research focuses on advanced battery management systems, with particular emphasis on smart sensor integration, fast charging technologies, battery aging mechanisms, and electrochemical modeling. Dr. Bian's work addresses critical challenges in electric vehicle technology and energy storage systems, aiming to improve battery performance, longevity, and safety through innovative monitoring and control strategies. His research bridges theoretical modeling with practical implementation, developing methods that can operate effectively with limited data in real-world applications.

Analysis of Dr. Bian's publication record reveals a strong trend toward developing practical battery state estimation techniques that work with partial or random charging data. His work increasingly integrates machine learning with traditional electrochemical models, creating hybrid approaches that balance accuracy with computational efficiency. A significant portion of his research targets real-time implementation constraints, making his methods particularly valuable for automotive applications where computational resources are limited.

• Serves on the advisory panel for the journal Batteries
• Organized the 2024 IEEE International Conference on Prognostics and Health Management (ICPHM) in Stockholm
• Contributed to the 49th Annual Conference of the IEEE Industrial Electronics Society in Singapore
• Helped organize the inaugural IET Energy Storage Conference in Glasgow
• Active reviewer for over 15 top-tier journals and multiple international conferences

As a project co-PI or PI, Dr. Bian has secured significant research funding from the Swedish Energy Agency, the European Commission, and Chalmers Areas of Advance. His current projects focus on monitoring microscale inhomogeneity in lithium-ion batteries, developing physics-informed learning approaches for predictive maintenance of e-powertrains, and creating faster charging solutions with extended battery lifetime through advanced degradation monitoring using low-cost sensors. These projects involve collaboration with researchers across multiple disciplines including materials science, electrical engineering, and industrial automation.

Dr. Bian works within Chalmers' Automatic Control research environment, collaborating closely with researchers in Materials Physics and other departments. His research group focuses on translating theoretical advances in battery state estimation into practical implementations for electric vehicles and energy storage applications, with strong industry connections that ensure relevance to real-world challenges.