| State of charge and state of energy estimation for lithium-ion batteries based on a long short-term memory neural network L Ma, C Hu, F Cheng Journal of Energy Storage 37, 102440, 2021 | 127 | 2021 |
| A comparative study of different deep learning algorithms for lithium-ion batteries on state-of-charge estimation S Guo, L Ma Energy 263, 125872, 2023 | 43 | 2023 |
| Deep learning enabled state-of-charge estimation of LiFePO4 batteries: A systematic validation on state-of-the-art charging protocols C Hu, L Ma, S Guo, G Guo, Z Han Energy 246, 123404, 2022 | 40 | 2022 |
| State of charge estimation for lithium-ion batteries based on TCN-LSTM neural networks C Hu, F Cheng, L Ma, B Li Journal of the Electrochemical Society 169 (3), 030544, 2022 | 32 | 2022 |
| Deep learning-based battery state of charge estimation: Enhancing estimation performance with unlabelled training samples L Ma, T Zhang Journal of Energy Chemistry 80, 48-57, 2023 | 16 | 2023 |
| State-of-charge estimation for lithium-ion batteries of electric vehicle based on sensor random error compensation C Hu, B Li, L Ma, F Cheng Journal of Energy Storage 55, 105537, 2022 | 7 | 2022 |
| Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning L Ma, J Tian, T Zhang, Q Guo, C Hu Journal of Energy Chemistry 91, 512-521, 2024 | 5 | 2024 |
| State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial network C Hu, F Cheng, Y Zhao, S Guo, L Ma Journal of Energy Storage 80, 110004, 2024 | | 2024 |
| Exploiting Domain Knowledge to Reduce Data Requirements for Battery Health Monitoring J Tian, L Ma, T Zhang, T Han, W Mai, CY Chung Energy Storage Materials, 103270, 2024 | | 2024 |
