Defining an accuracy limit in battery state estimation

Other text in scientific journal, 2026

Shida Jiang received his BS degree in electrical engineering from Xi’an Jiaotong University, Xi’an, China, and a master’s degree in systems engineering from the University of California, Berkeley, CA, USA. He is currently a PhD candidate in systems engineering at the University of California, Berkeley, under the supervision of Dr. Scott Moura. His research interests include battery state estimation, Kalman filtering, and charging optimization. Dr. Shengyu Tao is a researcher at the Department of Electrical Engineering at Chalmers University of Technology, Sweden. He received his PhD degree in electrical engineering from a joint training program with Tsinghua University and the University of California, Berkeley. He was a visiting research scholar at the Energy, Controls, and Applications Lab (eCAL) at the University of California, Berkeley. His research includes artificial intelligence and data-driven applications for sustainable use of retired batteries (reusing and recycling), with special attention paid to battery diagnostics and prognostics under limited and heterogeneous data availability, facilitating the circular economy throughout the life cycle. Jaewoong Lee received the BS degree in energy engineering and MS degree in civil and environmental engineering from the University of California, Berkeley, CA, USA, in 2019 and 2022, respectively. He is currently pursuing his PhD degree in civil and environmental engineering at the University of California, Berkeley, CA, USA, under the supervision of Dr. Scott Moura. His research interests include battery modeling, control, and state estimation algorithms. Scott Moura received his BS degree in mechanical engineering from the University of California, Berkeley, CA, USA, and his MS and PhD degrees in mechanical engineering from the University of Michigan, Ann Arbor, MI, USA, in 2006, 2008, and 2011, respectively. He is currently a professor of civil and environmental engineering, the director of eCAL, and the acting director of the Institute of Transportation Studies at the University of California, Berkeley, CA, USA. His research interests include control, optimization, and machine learning for batteries, electrified vehicles, and clean energy systems.