Xiaolei Bian
Xiaolei Bian is a postdoctoral researcher in the automatic control research group. His research focuses on smart sensors enabled battery management, fast charging, and battery modeling of Li-ion battery. He is currently involved in two research projects funded by the Chalmers Energy Area of Advance and Batteries Sweden (BASE).
Xiaolei received the B.Eng. degree and the M.Sc. degrees in mechanical engineering from Jilin University, China, in 2014 and 2017 and the Ph.D. degree in chemical engineering from KTH Royal Institute of Technology, Sweden, in 2021. He was also a visiting research student at Linnaeus University, Sweden, in 2016.
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
Data-driven battery state of health estimation based on random partial charging data
Battery health evaluation using a short random segment of constant current charging
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 2 research projects
E-powertrain predictive maintenance using physics informed learning