| Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles R Xiong, J Cao, Q Yu, H He IEEE Access 6, 1832 - 1843, 2017 | 944 | 2017 |
| Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle R Xiong, J Cao, Q Yu Applied energy 211, 538-548, 2018 | 570 | 2018 |
| Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles R Xiong, W Sun, Q Yu, F Sun Applied Energy 279, 115855, 2020 | 395 | 2020 |
| A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter R Xiong, Q Yu, LY Wang, C Lin Applied Energy 207 (1), 346-353, 2017 | 308 | 2017 |
| An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application R Xiong, L Li, Z Li, Q Yu, H Mu Applied energy 219, 264-275, 2018 | 272 | 2018 |
| Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries J Tian, R Xiong, Q Yu IEEE Transactions on Industrial Electronics, 2018 | 265 | 2018 |
| A sensor fault diagnosis method for a lithium-ion battery pack in electric vehicles R Xiong, Q Yu, W Shen, C Lin, F Sun IEEE Transactions on Power Electronics 34 (10), 9709-9718, 2019 | 256 | 2019 |
| Lithium-ion battery parameters and state-of-charge joint estimation based on H-infinity and unscented Kalman filters Q Yu, R Xiong, C Lin, W Shen, J Deng IEEE Transactions on Vehicular Technology 66 (10), 8693-8701, 2017 | 236 | 2017 |
| A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries M Ye, H Guo, R Xiong, Q Yu Energy 144 (1), 789–799, 2017 | 162 | 2017 |
| A comparative study on open circuit voltage models for lithium-ion batteries QQ Yu, R Xiong, LY Wang, C Lin Chinese Journal of Mechanical Engineering 31, 1-8, 2018 | 135 | 2018 |
| Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle R Xiong, Y Duan, J Cao, Q Yu Applied energy 217, 153-165, 2018 | 129 | 2018 |
| A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries C Lin, Q Yu, R Xiong, LY Wang Applied Energy 205 (1), 892-902, 2017 | 126 | 2017 |
| Online capacity estimation for lithium-ion batteries through joint estimation method Q Yu, R Xiong, R Yang, MG Pecht Applied Energy 255, 113817, 2019 | 112 | 2019 |
| OCV-SOC-Temperature relationship construction and state of charge estimation for a series-parallel lithium-ion battery pack Q Yu, Y Huang, A Hua, C Wang, W Shen. IEEE Transactions on Intelligent Transportation Systems, 2023 | 106 | 2023 |
| Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications Q Yu, C Wang, J Li, R Xiong, M Pecht ETransportation 17, 100254, 2023 | 99 | 2023 |
| Current sensor fault diagnosis method based on an improved equivalent circuit battery model Q Yu, L Dai, R Xiong, Z Chen, X Zhang, W Shen Applied Energy 310, 118588, 2022 | 95 | 2022 |
| State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network S Peng, Y Sun, D Liu, Q Yu, J Kan, M Pecht Energy 282, 128956, 2023 | 75 | 2023 |
| A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries A Tang, Y Jiang, Q Yu, Z Zhang Journal of Energy Storage 68, 107734, 2023 | 73 | 2023 |
| Evaluation of the safety standards system of power batteries for electric vehicles in China Q Yu, Y Nie, S Peng, Y Miao, C Zhai, R Zhang, J Han, S Zhao, M Pecht Applied energy 349, 121674, 2023 | 72 | 2023 |
| State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions Q Yu, Y Nie, S Liu, J Li, A Tang Journal of Power Sources 582, 233541, 2023 | 66 | 2023 |
Weixiang ShenProfessor of Electrical Engineering, Swinburne University of Technology, Australia確認したメール アドレス: swin.edu.au