已发表期刊论文(# 通讯作者与第一作者)
J1. He. J, Wei, J.# (2025). User Preference-AdaptiveBattery Fast Charging Strategy Considering Temperature Rising Based on TransferReinforcement Learning. IEEE Transactions on Industrial Electronics, Accepted.
J2. Xie,L., Wei, J.# (2025) Deep Learning-Enabled Fault Diagnosisof Lithium-Ion Batteries Using Real-World Vehicle Data With Gramian AngularDifference Fields, IEEE Transactions on Industrial Informatics, Accepted.
J3. He, J., Chen,C., Wei, J.# (2024) A Data-driven Reinforcement LearningEnabled Battery Fast Charging Optimization Using Real-world Experimental Data. IEEETransactions on Industrial Electronics, , 72(1), 430-438. (IF: 7.7, SCI一区)
J4. Yang, Y., He,J., Chen, C., Wei, J.#. (2023)Balancing Awareness Fast Charging Control for Lithium-Ion Battery PackUsing Deep Reinforcement Learning. IEEETransactions on Industrial Electronics, 71(4), 718-3727. (IF: 7.7, SCI一区)
J5. Zhou,Y., Dong, G., Tan, Q., Han, X., Chen, C., and Wei, J.#.(2023). State of health estimation for lithium-ion batteries using geometricimpedance spectrum features and recurrent gaussian process regression. Energy,262, 125514. (IF: 9.0, SCI一区)
J6. Dong, G.,Feng, Y., Lou, Y., Zhang, M., and Wei, J.# (2023)Data-Driven Fast Charging Optimization for Lithium-Ion Battery UsingBayesian Optimization with Fast Convergence. IEEE Transactions onTransportation Electrification, Accepted. (IF: 7, SCI一区)
J7. Dong,G., Feng, Y., Wang, Y., and Wei, J.# (2023). Probabilisticdischargeable time forecasting of power batteries via statisticalcharacterization of future loading profiles. Journal of Energy Storage,59, 106488. (IF: 9.4, SCI一区)
J8. Wei,J., Chen, C., and Dong, G. (2022). Global sensitivity analysis forimpedance spectrum identification of lithium-ion batteries using time-domainresponse. IEEE Transactions on Industrial Electronics, 70(4), 3825-3835.(IF: 7.7, SCI一区)
J9. Dong,G., and Wei, J.#. (2021). A physics-based aging model forlithium-ion battery with coupled chemical/mechanical degradation mechanisms. ElectrochimicaActa, 395, 139133. (IF: 6.6, SCI一区)
J10. Wei,J. and Chen, C. (2021). A multi-timescale framework for state monitoringand lifetime prognosis of lithium-ion batteries. Energy, 229, 120684. (IF: 9.0, SCI一区)
J11. Dong,G. and Wei, J.#. (2020). Determination of the load capabilityfor a lithium-ion battery pack using two time-scale filtering. Journal ofPower Sources, 480, 229056. (IF:9.2, SCI一区)
J12. Wei,J. Dong, G. and Chen, Z. (2020). Lyapunov-based thermal fault diagnosis ofcylindrical lithium-ion batteries. IEEE Transactions on IndustrialElectronics, 67(6), 4670–4679. (IF:7.7, SCI一区)
J13. Zhang, C., Zhu, Y., Dong, G.#, & Wei, J.# (2019). Data-driven lithium-ionbattery states estimation using neural networks and particle filtering. InternationalJournal of Energy Research, 43(14), 8230–8241. (IF: 4.672, SCI一区)
J14. Wei,J., Dong, G. and Chen, Z. (2018). Lyapunov-based state of charge diagnosisand health prognosi for lithium-ion batteries. Journal of Power Sources,397, 352–360. (IF: 9.2, SCI一区)
J15. Wei,J., Dong, G. and Chen, Z. (2018). Remaining useful life prediction andstate of health diagnosis for lithium-ion batteries using particle filter andsupport vector regression. IEEE Transactions on Industrial Electronics,65(7), 5634–5643. (IF: 7.7, SCI一区，WOS Cited by 485,Highly cited paper)
J16. Wei,J., Dong, G., and Chen, Z. (2017). On-board adaptive model for state ofcharge estimation of lithium-ion batteries based on kalman filter withproportional integral-based error adjustment. Journal of Power Sources,365, 308–319. (IF: 9.2, SCI一区)
J17. Wei,J., Dong, G., Chen, Z., and Kang, Y. (2017). System state estimation andoptimal energy control framework for multicell lithium-ion battery system. AppliedEnergy, 187, 37–49. (IF: 11.2, SCI一区)
专利
P1. 陈宗海，魏婧雯，董广忠，张陈斌. 一种基于电池能量状态估计的电池组主动均衡控制系统. 中国发明专利（已授权），CN106887877B，公开日期2023年6月16日
P2. 魏婧雯，杨易昆，贺嘉瑞，陈春林，王志. 基于强化学习的电池组均衡感知快充控制方法和系统. 中国发明专利（实审），202311113458.3
P3. 魏婧雯，陈睿，周勇，陈春林，王志. 基于阻抗谱数据和 R-GPR 的健康状态估计方法和系统. 中国发明专利（实审），202311113459.8
