| Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods Y Zhao, P Liu, Z Wang, L Zhang, J Hong Applied Energy 207, 354-362, 2017 | 320 | 2017 |
| A data-driven method for battery charging capacity abnormality diagnosis in electric vehicle applications Z Wang, C Song, L Zhang, Y Zhao, P Liu, DG Dorrell IEEE Transactions on Transportation Electrification 8 (1), 990-999, 2021 | 97 | 2021 |
| Data-driven framework for large-scale prediction of charging energy in electric vehicles Y Zhao, Z Wang, ZJM Shen, F Sun Applied Energy 282, 116175, 2021 | 37 | 2021 |
| Assessment of battery utilization and energy consumption in the large-scale development of urban electric vehicles Y Zhao, Z Wang, ZJM Shen, F Sun Proceedings of the National Academy of Sciences 118 (17), e2017318118, 2021 | 35 | 2021 |
| State-of-Health Estimation for LiFePO4 Battery System on Real-World Electric Vehicles Considering Aging Stage L Zhou, Y Zhao, D Li, Z Wang IEEE Transactions on Transportation Electrification 8 (2), 1724-1733, 2021 | 29 | 2021 |
| Electric vehicle battery fault diagnosis based on statistical method Y Zhao, P Liu, Z Wang, J Hong Energy Procedia 105, 2366-2371, 2017 | 27 | 2017 |
| Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation Y Zhao, Z Wang, ZJM Shen, L Zhang, DG Dorrell, F Sun Applied Energy 327, 120083, 2022 | 12 | 2022 |
| Toward environmental sustainability: data-driven analysis of energy use patterns and load profiles for urban electric vehicle fleets Y Zhao, Z Jiang, X Chen, P Liu, T Peng, Z Shu Energy, 129465, 2023 | 6 | 2023 |
| Data-driven battery state-of-health estimation and prediction using IC based features and coupled model L Zhou, Z Zhang, P Liu, Y Zhao, D Cui, Z Wang Journal of Energy Storage 72, 108413, 2023 | 5 | 2023 |
Fengchun Sun 孙逢春Professor of Mechanical Engineering, Beijing Institute of Technology在 bit.edu.cn 的电子邮件经过验证
Fengchun Sun 孙逢春Professor of Mechanical Engineering, Beijing Institute of Technology在 bit.edu.cn 的电子邮件经过验证
Zuo-Jun Max SHENProfessor, The University of Hong Kong在 hku.hk 的电子邮件经过验证