| Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression Z Deng, X Hu, X Lin, Y Che, L Xu, W Guo Energy 205, 118000, 2020 | 280 | 2020 |
| Battery health prediction using fusion-based feature selection and machine learning X Hu, Y Che, X Lin, S Onori IEEE Transactions on Transportation Electrification 7 (2), 382-398, 2020 | 211 | 2020 |
| General discharge voltage information enabled health evaluation for lithium-ion batteries Z Deng, X Hu, X Lin, L Xu, Y Che, L Hu IEEE/ASME Transactions on Mechatronics 26 (3), 1295-1306, 2020 | 167 | 2020 |
| Predictive Battery Health Management with Transfer Learning and Online Model Correction Y Che, Z Deng, X Lin, L Hu, X Hu IEEE Transactions on Vehicular Technology, 2021 | 144 | 2021 |
| Health prognosis for electric vehicle battery packs: A data-driven approach X Hu, Y Che, X Lin, Z Deng IEEE/ASME transactions on mechatronics 25 (6), 2622-2632, 2020 | 135 | 2020 |
| Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering L Hu, X Hu, Y Che, F Feng, X Lin, Z Zhang Applied Energy 262, 114569, 2020 | 128 | 2020 |
| Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects Y Che, X Hu, X Lin, J Guo, R Teodorescu Energy & Environmental Science 16 (2), 338-371, 2023 | 83 | 2023 |
| State of health prognostics for series battery packs: A universal deep learning method Y Che, Z Deng, P Li, X Tang, K Khosravinia, X Lin, X Hu Energy 238, 121857, 2022 | 72 | 2022 |
| Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network Y Che, Y Zheng, Y Wu, X Sui, P Bharadwaj, DI Stroe, Y Yang, X Hu, ... Applied Energy 323, 119663, 2022 | 52 | 2022 |
| Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects K Liu, Q Peng, Y Che, Y Zheng, K Li, R Teodorescu, D Widanage, A Barai Advances in Applied Energy 9, 100117, 2023 | 42 | 2023 |
| Joint Estimation of Inconsistency and State of Health for Series Battery Packs Y Che, A Foley, M El-Gindy, X Lin, X Hu, M Pecht Automotive Innovation, 1-14, 2021 | 41 | 2021 |
| Lifetime and aging degradation prognostics for lithium-ion battery packs based on a cell to pack method Y Che, Z Deng, X Tang, X Lin, X Nie, X Hu Chinese Journal of Mechanical Engineering 35, 1-16, 2022 | 40 | 2022 |
| A practical and comprehensive evaluation method for series-connected battery pack models F Feng, X Hu, K Liu, Y Che, X Lin, G Jin, B Liu IEEE Transactions on Transportation Electrification 6 (2), 391-416, 2020 | 38 | 2020 |
| Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles Y Wu, Z Huang, Y Zheng, Y Liu, H Li, Y Che, J Peng, R Teodorescu Energy Conversion and Management 277, 116619, 2023 | 33 | 2023 |
| Semi-supervised self-learning-based lifetime prediction for batteries Y Che, DI Stroe, X Hu, R Teodorescu IEEE Transactions on Industrial Informatics 19 (5), 6471 - 6481, 2022 | 28 | 2022 |
| Battery impedance spectrum prediction from partial charging voltage curve by machine learning J Guo, Y Che, K Pedersen, DI Stroe Journal of Energy Chemistry 79, 211-221, 2023 | 27 | 2023 |
| Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation Y Che, SB Vilsen, J Meng, X Sui, R Teodorescu Etransportation 17, 100245, 2023 | 19 | 2023 |
| Boosting battery state of health estimation based on self-supervised learning Y Che, Y Zheng, X Sui, R Teodorescu Journal of Energy Chemistry 84, 335-346, 2023 | 13 | 2023 |
| Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities Y Zheng, Y Che, X Hu, X Sui, DI Stroe, R Teodorescu Progress in Energy and Combustion Science 100, 101120, 2024 | 12 | 2024 |
| Battery states monitoring for electric vehicles based on transferred multi-task learning Y Che, Y Zheng, Y Wu, X Lin, J Li, X Hu, R Teodorescu IEEE Transactions on Vehicular Technology, 2023 | 8 | 2023 |
Xiaosong Hu 胡晓松Professor, Department of Mechanical and Vehicle Engineering, Chongqing UniversityVerified email at ieee.org
