| A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries Y Song, D Liu, H Liao, Y Peng Applied Energy 261, 114408, 2020 | 195 | 2020 |
| Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery Y Song, D Liu, C Yang, Y Peng Microelectronics Reliability 75, 142-153, 2017 | 195 | 2017 |
| Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm S Yuchen, LIU Datong, HOU Yandong, YU Jinxiang, P Yu Chinese Journal of Aeronautics 31 (1), 31-40, 2018 | 151 | 2018 |
| On-line life cycle health assessment for lithium-ion battery in electric vehicles D Liu, Y Song, L Li, H Liao, Y Peng Journal of cleaner production 199, 1050-1065, 2018 | 136 | 2018 |
| An on-line state of health estimation of lithium-ion battery using unscented particle filter D Liu, X Yin, Y Song, W Liu, Y Peng Ieee Access 6, 40990-41001, 2018 | 130 | 2018 |
| Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions D Liu, L Li, Y Song, L Wu, Y Peng International Journal of Electrical Power & Energy Systems 110, 48-61, 2019 | 102 | 2019 |
| Lithium-ion battery performance degradation evaluation in dynamic operating conditions based on a digital twin model X Qu, Y Song, D Liu, X Cui, Y Peng Microelectronics Reliability 114, 113857, 2020 | 70 | 2020 |
| Lithium-ion battery remaining useful life prediction based on GRU-RNN Y Song, L Li, Y Peng, D Liu 2018 12th international conference on reliability, maintainability, and …, 2018 | 66 | 2018 |
| Lithium-ion battery prognostics with hybrid Gaussian process function regression Y Peng, Y Hou, Y Song, J Pang, D Liu Energies 11 (6), 1420, 2018 | 63 | 2018 |
| Model-based health diagnosis for lithium-ion battery pack in space applications Y Song, Y Peng, D Liu IEEE Transactions on Industrial Electronics 68 (12), 12375-12384, 2020 | 43 | 2020 |
| A low cost flexible digital twin platform for spacecraft lithium-ion battery pack degradation assessment Y Peng, X Zhang, Y Song, D Liu 2019 IEEE International Instrumentation and measurement technology …, 2019 | 43 | 2019 |
| Review of state of health estimation for lithium-ion battery pack DT Liu, YCH SONG, W Wu, C Yang, Y Peng Chinese Journal of Scientific Instrument 41 (11), 1-18, 2020 | 35 | 2020 |
| Lithium-ion battery remaining useful life prognostics using data-driven deep learning algorithm L Li, Y Peng, Y Song, D Liu 2018 prognostics and system health management conference (PHM-Chongqing …, 2018 | 24 | 2018 |
| An soc and sop joint estimation method of lithium-ion batteries in unmanned aerial vehicles W Cheng, Z Yi, J Liang, Y Song, D Liu 2020 International Conference on Sensing, Measurement & Data Analytics in …, 2020 | 13 | 2020 |
| Series-connected lithium-ion battery pack health modeling with cell inconsistency evaluation Y Song, D Liu, Y Peng 2019 IEEE International Instrumentation and Measurement Technology …, 2019 | 12 | 2019 |
| Multi-scale state joint estimation for lithium-ion battery X Yin, Y Song, W Liu, D Liu Chinese Journal of Scientific Instrument 39 (8), 118-126, 2018 | 11 | 2018 |
| FPGA-based implementation of lithium-ion battery soh estimator using particle filter Y Song, D Liu, Y Peng 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 9 | 2020 |
| Lithium-ion battery pack on-line degradation state prognosis based on the empirical model Y Song, D Liu, L Li, Y Peng 2018 International Conference on Sensing, Diagnostics, Prognostics, and …, 2018 | 8 | 2018 |
| Self-adaptive indirect health indicators extraction within prognosis of satellite lithium-ion battery Y Song, D Liu, Y Peng, C Yang, W Wu 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-7, 2017 | 6 | 2017 |
| Hybrid approach of iterative updating for lithium-ion battery remaining useful life estimation Y Song, C Yang, T Wang, D Liu, Y Peng 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-6, 2016 | 5 | 2016 |
Datong LIUProfessor, School of Electronics and Information Engineering, Harbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
