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Y. Huang, A. Tang, Y. Xu, Z. Zhang, F. Yan, Y. Tan, X. Jin, Q. Yu*. Data-Physics-Driven estimation of battery state of charge and capacity based on Gaussian distribution fusion. Energy 2023, Under Review. (一区，IF=9)
A. Tang, Y. Xu, Y. Nie, C. Wang, Y. Zhang, Q. Yu*. Flexible Physics-Informed Deep Learning for Estimating Lithium-ion Battery State of Health in Dynamical Operation. IEEE Transactions on Transportation Electrification 2023, Under Review. (一区，IF=7)
C. Wang, C. Wan, Q. Yu*, J. Li, W. Shen. Voltage Micro Anomaly Detection of Lithium-ion Batteries Based on A Novel Encoder-Decoder Model. Energy 2023, Under Review. (一区，IF=9)
A. Tang, Z. Wu, T. Xu, X. Wu, Y. Zhao, Q. Yu*. Week-level early warning method for thermal runaway risk based on real-scenario operating data of electric vehicles. eTransportation 2023, Under Review. (一区，IF=11.9)
Y. Yang, Y. Nie, J. Li, S. Liu, L. Zhao, Q. Yu*. A dual-timescale joint estimation framework for battery state of charge and state of health based on deep transfer learning model. Journal of Energy Storage 2023, Under Review. (一区，IF=9.4).
J. Li , X. Li, X. Hu, Q. Yu. Parameter identification method of multi-particle model for lithium-ion batteries. Journal of Energy Storage 2023, Under Review. (一区，IF=9.4)
S. Guo, X. Jiang, W. Shen, Y. Wang*, C. Ma, Q. Yu*. Investigation on the coupling effect of AC heating strategy and cycles on battery performance under low temperatures. Energy 2023, Under Review. (一区，IF=9)
代表性期刊论文
A. Tang, X. Wu, T. Xu, Y. Hu, S. Long, Q. Yu*. State of health estimation based on inconsistent evolution for lithium-ion battery module. Energy 2023:129575. DOI: 10.1016/j.energy.2023.129575. (一区，IF=9)
X. Cheng, X. Liu, X. Li, Q. Yu*. An intelligent fusion method for state of charge estimation of lithium-ion batteries. Energy 2023:129462. DOI:10.1016/j.energy.2023;286:129462. (一区，IF=9).
S. Liu, Y. Nie, A. Tang, J. Li, Q. Yu*. C Wang, Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range. eTransportation 2023;18:100296. (一区，IF=11.9)
J. Li*, T. Li , Y. Wang, S. Guo, Z. Wang, M. Zhao, Q. Yu. Internal fault diagnosis method for lithium batteries based on a failure physical model. Engineering Failure Analysis 2023;154:107714. (二区，IF=4)
S. Peng, Y. Sun, D. Liu, Q. Yu*, J. Kan, M. Pecht. State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network. Energy 2023;282:108126. (一区，IF=9)
Q. Yu; Y. Nie; S. Liu; J. Li; A. Tang*. State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions. Journal of Power Sources 2023;582:233541. (一区，IF=9.2)
Q. Yu, Y. Nie, S. Peng*, Y .Miao, et al. Evaluation of the Safety Standards System of Power Batteries for Electric Vehicles in China. Applied Energy 2023;349:121674. (一区，IF=11.2)
A. Tang, Y. Huang, S. Liu, Q. Yu*, et al. A novel lithium-ion battery state of charge estimation method based on the fusion of neural network and equivalent circuit models. Applied Energy 2023;348:121578. (一区，IF=11.2)
Y. Yang, R. Wang, S. Zhao, Q. Yu*, et al. Towards a safer lithium-ion batteries: a critical review on cause, characteristics, warning and disposal strategy for thermal runaway. Advances in Applied Energy 2023;11:100146.
A. Tang, P. Gong, Y. Huang, X. Wu, Q. Yu*. Research on pulse charging current of lithium-ion batteries for electric vehicles in low-temperature environment. Energy reports 2023;9:1447-1457. (二区，IF=5.2)
A. Tang, Y. Jiang, Y. Nie, Q. Yu*, et al. Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network. Energy 2023;279:128137. (一区，IF=9)
Q. Yu, C. Wang, J. Li, R. Xiong*, M Pecht. Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications. eTransportation 2023;17:100254. (一区，IF=11.9)
Y. Yang, L. Zhao, Q. Yu*, et al. State of charge estimation for lithium-ion batteries based on cross-domain transfer learning with a feedback mechanism. Journal of Energy Storage 2023;70:108037. (一区，IF=9.4)
A. Tang, Y. Jiang, Q. Yu*, Z Zhang. A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries. Journal of Energy Storage 2023;68:107734. (一区，IF=9.4)
Q. Yu, Y. Huang, A. Tang*, et al. OCV-SOC-Temperature relationship construction and state of charge estimation for a series-parallel lithium-ion battery pack. IEEE Transactions on Intelligent Transportation Systems 2023;24(6):6362-6371. (一区，IF=8.5) (ESI高被引论文)
于全庆，王灿，李建明等. 多拓扑结构锂电池组外短路特性分析及模型评价. 机械工程学报 2023;59(6):159-172。(EI)
Q. Yu*, Y. Liu, S Long, J. Li, W. Shen. A branch current estimation and correction method for a parallel connected battery pack based on dual BP neural networks. Green Energy and Intelligent Transportation 2022;2: 100029. (中国科技期刊卓越行动计划高起点新刊).
S. Xu, Y. Wang, J. Shao, J. Li*, Q. Yu. An electrochemical-thermal coupling model for prismatic lithium-ion batteries over wide temperature range. Applied Thermal Engineering 2022; 217:119282. （一区，IF=6.4）
Z. Chen, R. Xiong, Z. Wang, Q. Yu. Pontryagin's Minimum Principle-based Power Management of Plug-in Hybrid Electric Vehicles to Enhance the Battery Durability and Thermal Safety. IEEE Transactions on Transportation Electrification 2022. DOI 10.1109/TTE.2022.3201029.（一区，IF=7）
Q. Yu*, L. Dai, R. Xiong, et al. Current sensor fault diagnosis method based on an improved equivalent circuit battery model. Applied Energy 2022;310:118588. (一区，IF=11.2)
Z. Chen, B. Zhang, R. Xiong*, W. Shen, Q. Yu. Electro-thermal coupling model of lithium-ion batteries under external short circuit. Applied Energy 2021;293:116910 . (一区，IF=11.2)
R. Xiong, W. Sun, Q. Yu*, F. Sun. Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles. Applied Energy 2020;279:115855. (一区，IF=11.2) (ESI高被引论文)
R. Xiong, L. Li, Q. Yu*, Q. Jin, R. Yang. A set membership theory based parameter and state of charge co-estimation method for all-climate batteries. Journal of Cleaner Production 2020;249:11389. (一区，IF=11.1)
C. Wang, R. Yang*, Q. Yu, Wavelet transform based energy management strategies for plug-in hybrid electric vehicles considering temperature uncertainty. Applied Energy 2019;256:113928. (一区，IF=11.2)
Q. Yu, R. Xiong*, R. Yang, M. G. Pecht. Online capacity estimation for lithium-ion batteries through joint estimation method. Applied Energy 2019;255:113817. (一区，IF=11.2)
R. Xiong, Q. Yu*, W. X. Shen, C. Lin, F. Sun. A sensor fault diagnosis method for a lithium-ion battery pack in electric vehicles. IEEE Transactions on Power Electronics 2019;34(10):9709-9718. (一区，IF=6.7) (ESI高被引论文)
J. Tian, R. Xiong*, Q. Yu. Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries. IEEE Transactions on Industrial Electronics 2019;66(2):1576-1584. (一区，IF=7.7) (ESI高被引论文)
R. Xiong, L. Li, Z. Li, Q. Yu*, et al. An electrochemical model-based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application. Applied Energy 2018;219:264-275. (一区，IF=11.2)
Q. Yu, R. Xiong, L. Wang, et al. A comparative study on open circuit voltage models for lithium-ion batteries. Chinese Journal of Mechanical Engineering 2018;31(1):65. (二区，IF=4.2) （第四届JME高影响力论文奖）(机械工程学会优秀论文奖)
R. Xiong, Y. Duan, Q. Yu*. Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle. Applied Energy 2018;217(1):153-165. (一区，IF=11.2)(ESI高被引论文)
R. Xiong, J. Cao, Q. Yu*. Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle. Applied Energy 2018;211(1):538-548. (一区，IF=11.2) (ESI高被引论文)
M. Ye, H. Guo, R. Xiong, Q. Yu*. A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries. Energy 2018:144 (1):789-799. (一区，IF=9)
Q. Yu, R. Xiong, C. Lin, et al. Lithium-ion battery parameters and state-of-charge joint estimation based on H-infinity and unscented Kalman filters. IEEE Transactions on Vehicular Technology 2017;66 (10):8693-8701. (一区，IF=6.8) (ESI高被引论文)
C. Lin, Q. Yu, R. Xiong, L. Y. Wang. A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries. Applied Energy 2017;205(1):892-902. (一区，IF=11.2)
R. Xiong, Q. Yu*, L. Y. Wang, C. Lin. 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. Applied Energy 2017;207(1):346-353. (一区，IF=11.2) (ESI高被引论文)
R. Xiong, J. Cao, Q. Yu, et al. Critical review on the battery state of charge estimation methods for electric vehicles. IEEE Access 2017;6:1832-1843. (二区，IF=3.9) (ESI高被引论文)
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