| Lithium polymer battery state-of-charge estimation based on adaptive unscented Kalman filter and support vector machine J Meng, G Luo, F Gao IEEE Transactions on Power Electronics 31 (3), 2226-2238, 2015 | 301 | 2015 |
| An overview and comparison of online implementable SOC estimation methods for lithium-ion battery J Meng, M Ricco, G Luo, M Swierczynski, DI Stroe, AI Stroe, ... IEEE Transactions on Industry Applications 54 (2), 1583-1591, 2017 | 289 | 2017 |
| Overview of lithium-ion battery modeling methods for state-of-charge estimation in electrical vehicles J Meng, G Luo, M Ricco, M Swierczynski, DI Stroe, R Teodorescu Applied sciences 8 (5), 659, 2018 | 249 | 2018 |
| A simplified model-based state-of-charge estimation approach for lithium-ion battery with dynamic linear model J Meng, DI Stroe, M Ricco, G Luo, R Teodorescu IEEE Transactions on Industrial Electronics 66 (10), 7717-7727, 2018 | 162 | 2018 |
| A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery X Sui, S He, SB Vilsen, J Meng, R Teodorescu, DI Stroe Applied Energy 300, 117346, 2021 | 143 | 2021 |
| Multiobjective optimization of data-driven model for lithium-ion battery SOH estimation with short-term feature L Cai, J Meng, DI Stroe, J Peng, G Luo, R Teodorescu IEEE Transactions on Power Electronics 35 (11), 11855-11864, 2020 | 106 | 2020 |
| Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine J Meng, L Cai, G Luo, DI Stroe, R Teodorescu Microelectronics Reliability 88, 1216-1220, 2018 | 100 | 2018 |
| An evolutionary framework for lithium-ion battery state of health estimation L Cai, J Meng, DI Stroe, G Luo, R Teodorescu Journal of Power Sources 412, 615-622, 2019 | 84 | 2019 |
| An optimized ensemble learning framework for lithium-ion battery state of health estimation in energy storage system J Meng, L Cai, DI Stroe, J Ma, G Luo, R Teodorescu Energy 206, 118140, 2020 | 73 | 2020 |
| A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries M Lin, D Wu, J Meng, J Wu, H Wu Journal of Power Sources 518, 230774, 2022 | 69 | 2022 |
| Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles J Meng, L Cai, DI Stroe, G Luo, X Sui, R Teodorescu Energy 185, 1054-1062, 2019 | 67 | 2019 |
| Low-complexity online estimation for LiFePO4 battery state of charge in electric vehicles J Meng, M Ricco, AB Acharya, G Luo, M Swierczynski, DI Stroe, ... Journal of Power Sources 395, 280-288, 2018 | 56 | 2018 |
| A review of pulsed current technique for lithium-ion batteries X Huang, Y Li, AB Acharya, X Sui, J Meng, R Teodorescu, DI Stroe Energies 13 (10), 2458, 2020 | 51 | 2020 |
| Stack autoencoder transfer learning algorithm for bearing fault diagnosis based on class separation and domain fusion M Sun, H Wang, P Liu, S Huang, P Wang, J Meng IEEE Transactions on Industrial Electronics 69 (3), 3047-3058, 2021 | 49 | 2021 |
| An automatic weak learner formulation for lithium-ion battery state of health estimation J Meng, L Cai, DI Stroe, X Huang, J Peng, T Liu, R Teodorescu IEEE Transactions on Industrial Electronics 69 (3), 2659-2668, 2021 | 43 | 2021 |
| An information appraisal procedure: Endows reliable online parameter identification to lithium-ion battery model X Du, J Meng, Y Zhang, X Huang, S Wang, P Liu, T Liu IEEE Transactions on Industrial Electronics 69 (6), 5889-5899, 2021 | 37 | 2021 |
| An Empirical-Data Hybrid Driven Approach for Remaining Useful Life prediction of lithium-ion batteries considering capacity diving D Chen, J Meng, H Huang, J Wu, P Liu, J Lu, T Liu Energy 245, 123222, 2022 | 34 | 2022 |
| A novel multiple correction approach for fast open circuit voltage prediction of lithium-ion battery J Meng, DI Stroe, M Ricco, G Luo, M Swierczynski, R Teodorescu IEEE Transactions on Energy Conversion 34 (2), 1115-1123, 2018 | 34 | 2018 |
| Wireless smart battery management system for electric vehicles X Huang, AB Acharya, J Meng, X Sui, DI Stroe, R Teodorescu 2020 IEEE Energy Conversion Congress and Exposition (ECCE), 5620-5625, 2020 | 33 | 2020 |
| Future ageing trajectory prediction for lithium-ion battery considering the knee point effect K Liu, X Tang, R Teodorescu, F Gao, J Meng IEEE Transactions on Energy Conversion 37 (2), 1282-1291, 2021 | 32 | 2021 |
Remus TeodorescuProfessor at Aalborg UniversityVerified email at et.aau.dk
