A generic model-free approach for lithium-ion battery health management G Bai, P Wang, C Hu, M Pecht Applied Energy 135, 247-260, 2014 | 148 | 2014 |
A self-cognizant dynamic system approach for prognostics and health management G Bai, P Wang, C Hu Journal of Power Sources 278, 163-174, 2015 | 56 | 2015 |
Prognostics of Lithium-Ion batteries using knowledge-constrained machine learning and Kalman filtering G Bai, Y Su, MM Rahman, Z Wang Reliability Engineering & System Safety 231, 108944, 2023 | 49 | 2023 |
Prognostics using an adaptive self-cognizant dynamic system approach G Bai, P Wang IEEE Transactions on Reliability 65 (3), 1427-1437, 2016 | 24 | 2016 |
An internal state variable mapping approach for Li-Plating diagnosis G Bai, P Wang Journal of Power Sources 323, 115-124, 2016 | 15 | 2016 |
A self-cognizant dynamic system approach for battery state of health estimation G Bai, P Wang 2014 International Conference on Prognostics and Health Management, 1-10, 2014 | 4 | 2014 |
Battery prognostics using a self-cognizant dynamic system approach G Bai, P Wang 2015 IEEE conference on prognostics and health management (PHM), 1-10, 2015 | 3 | 2015 |
A Self-Cognizant Dynamic System Approach for Health Management: Lithium-Ion Battery Case Study G Bai, P Wang International Design Engineering Technical Conferences and Computers and …, 2014 | 2 | 2014 |
Multiphysics based failure identification of lithium battery failure for prognostics G Bai, P Wang 2014 International Conference on Prognostics and Health Management, 1-6, 2014 | 2 | 2014 |
Advanced data-driven prognostics and health management for complex dynamic systems G Bai Wichita State University, 2016 | 1 | 2016 |
Data-Driven Health Management of Electrical Vehicle Battery Systems P Wang, K Krishnan, J Twomey, G Bai Midwest Transportation Center, 2018 | | 2018 |
Failure prognosis based on adaptive state space models G Bai, A Abdolsamadi, P Wang ASME International Mechanical Engineering Congress and Exposition 50510 …, 2016 | | 2016 |