Jingyuan Zhao, Ph.D.

  • Postdoctoral Researcher, Energy Futures Research Program
  • Electric Vehicles
  • Cyber-BMS
  • Artificial Intelligence
  • Machine Learning
  • Transportation Electrification


Jingyuan Zhao is currently a postdoctoral research fellow in the Energy Futures (EF) Research Program at the Institute of Transportation Studies (ITS), University of California Davis (UCD). The EF Program is aimed primarily at developing models of the transportation systems within the United States and internationally and conducting comprehensive research and analysis from the aspects of technology, economics and environment.

He was an international student in the group of Prof. Andrew F. Burke and received his Ph.D. in 2018, focusing on experimental and computational modelling to investigate the actual performance of electrochemical systems from conventional carbon-based EDLCs to hybrid systems and ultimately to batteries. He then joined BYD Co. Ltd., where he leads a team of senior engineers in developing state-of-the-art technologies for AI-powered Cloud-BMS, aiming to improve the battery safety and longer the health of lithium-ion batteries during the system’s operational lifetime. Meanwhile, he is a postdoctoral research fellow at the computer science and technology, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). His research interests focus on electrochemical energy storage systems (EESS) and their applications towards the electrification of transportation and the zero-emission target. The concentrated interest in these studies is driven by the renewable and green applications in transportation and industry.

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