Yongzhi Zhang

Postdoc, Architecture and Civil Engineering, Geology and Geotechnics, Urban Mobility Systems

Yongzhi is a Postdoc in the Division of Geology and Geotechnics, Urban Mobility Systems research group. His research interests include modeling and control of battery management systems and electric transport, with the aim to improve their efficiency, safety, and sustainability.
Yongzhi has developed many techniques for battery state estimation and continues to focus on new methods to ensure the safe and efficient operation of batteries under all use conditions. He has published many papers related to predicting when the battery will need to be recharged and replaced.
1. Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries, DOI: 10.1109/TVT.2018.2805189.
2. Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation, DOI: 10.1109/TIE.2018.2808918.
3. Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation, DOI: 10.1109/TPEL.2016.2603229.​

Published: Mon 30 Sep 2019.