Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries W Li, J Zhang, F Ringbeck, D Jöst, L Zhang, Z Wei, DU Sauer Journal of Power Sources 506, 230034, 2021 | 103 | 2021 |
Estimation of potentials in lithium-ion batteries using machine learning models W Li, DW Limoge, J Zhang, DU Sauer, AM Annaswamy IEEE Transactions on Control Systems Technology 30 (2), 680-695, 2021 | 27 | 2021 |
Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine N Jiang*, J Zhang*, W Jiang, Y Ren, J Lin, E Khoo, Z Song Applied Energy 364, 123122, 2024 | 3* | 2024 |
Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries B Yi, X Du, J Zhang, X Wu, Q Hu, W Jiang, X Hu, Z Song IEEE Transactions on Power Electronics, 2024 | 2 | 2024 |
Bias-compensated state estimation algorithm for lithium iron phosphate batteries with flat OCV-SOC curves B Yi, J Zhang, Z Song 2024 American Control Conference (ACC), 1423-1428, 2024 | | 2024 |
Enhancing Battery Monitoring under Real-World Driving Profiles through Physics-Guided Artificial Intelligence J Zhang, W Xu, Y Zhang, W Jiang, Q Jiao, Y Ren, Z Song 2024 IEEE Transportation Electrification Conference and Expo (ITEC), 1-6, 2024 | | 2024 |