| Constant current charging time based fast state-of-health estimation for lithium-ion batteries C Lin, J Xu, M Shi, X Mei Energy 247, 123556, 2022 | 95 | 2022 |
| Improving state-of-health estimation for lithium-ion batteries via unlabeled charging data C Lin, J Xu, X Mei Energy Storage Materials 54, 85-97, 2023 | 59 | 2023 |
| Ensemble method with heterogeneous models for battery state-of-health estimation C Lin, J Xu, J Hou, Y Liang, X Mei IEEE Transactions on Industrial Informatics 19 (10), 10160-10169, 2023 | 49 | 2023 |
| State of charge estimation for lithium-ion batteries based on battery model and data-driven fusion method J Hou, J Xu, C Lin, D Jiang, X Mei Energy 290, 130056, 2024 | 40 | 2024 |
| A fast state-of-health estimation method using single linear feature for lithium-ion batteries M Shi, J Xu, C Lin, X Mei Energy 256, 124652, 2022 | 40 | 2022 |
| A comparative study of data-driven battery capacity estimation based on partial charging curves C Lin, J Xu, D Jiang, J Hou, Y Liang, X Zhang, E Li, X Mei Journal of Energy Chemistry 88, 409-420, 2024 | 18 | 2024 |
| A fast data-driven battery capacity estimation method under non-constant current charging and variable temperature C Lin, J Xu, J Hou, D Jiang, Y Liang, X Zhang, E Li, X Mei Energy Storage Materials 63, 102967, 2023 | 15 | 2023 |
| Multi-model ensemble learning for battery state-of-health estimation: Recent advances and perspectives C Lin, J Xu, D Jiang, J Hou, Y Liang, Z Zou, X Mei Journal of Energy Chemistry, 2024 | 6 | 2024 |
| Selective ensemble learning enables battery capacity estimation across charging rates C Lin, J Xu, D Jiang, J Hou, X Mei 2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific …, 2024 | | 2024 |
Xuesong Mei 梅雪松Professor of Mechanical Engineering,Changjiang distinguished professor,Xi'an Jiaotong UniversityVahvistettu sähköpostiosoite verkkotunnuksessa xjtu.edu.cn