锂离子电池建模、SoC/SoE/SoH/SoT估计、健康评估、寿命预测、故障诊断

[J9] Zhijun Liu, Fu Jiang*, Yue Wu (武悦), Weirong Liu, Heng Li. Collaborative SOH Estimation for Lithium-ion Batteries by Integrating both Charging and Discharging Profiles. IEEE Transactions on Transportation Electrification, 2026, Early Access.（https://doi.org//10.1109/TTE.2026.3680995, 基于充放电跨域的锂离子电池SoH估计）

[J8]  Heng Li, Haiya Yu, Ren Zhu, Chen Le, Yue Wu*(武悦), Weirong Liu. Distributed Finite-time SoC Estimation for Lithium-ion Battery Packs. IEEE Transactions on Industrial Electronics, 2026 Early Access.（https://doi.org//10.1109/TIE.2026.3661048, 锂离子电池组分布式有限时间SoC估计）

[J7] Kai Gao, Qi Li, Lin Hu*, Jing Huang, Heng Li*, Yue Wu (武悦). Physical informed neural network for SOH estimation of lithium-ion battery with electrochemical mechanism. Energy, 2026, 342, 139753.（https://doi.org/10.1016/j.energy.2025.139753, 基于电化学机理的物理信息神经网络PINN电池SoH估计）

[J6] Yunsheng Fan, Zhiwu Huang, Heng Li*, Muaaz Bin Kaleem, Yue Wu (武悦). State-of-health estimation for battery packs of real-world electric vehicles with cell-to-pack transfer learning. Energy, 2025, 336, 138328.（https://doi.org/10.1016/j.energy.2025.138328, 单体到电池组的SoH估计迁移学习）

[J5] Heng Li, Muaaz Bin Kaleem, Kailong Liu*, Yue Wu*(武悦), Weirong Liu, Qiao Peng. Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects. Journal of Energy Storage, 2025, 116, 116002.（https://doi.org/10.1016/j.est.2025.116002, 电动汽车锂离子电池故障诊断综述）

[J4] Yunhong Che, Yusheng Zheng, Yue Wu (武悦), XiankeLin, Jiacheng Li*, Xiaosong Hu*, Remus Teodorescu. Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning. IEEE Transactions on Vehicular Technology, 2023, 72(8), 10037-10047.（https://doi.org//10.1109/TVT.2023.3260466, 端到端电池多状态SoC/SoE/SoT监测 ）

[J3] Yongjie Liu, Zhiwu Huang, Yue Wu (武悦), Lisen Yan, Fu Jiang*, Jun Peng. An online hybrid estimation method for core temperature of lithium-ion battery with model noise compensation. Applied Energy, 2022, 327, 120037.（https://doi.org/10.1016/j.apenergy.2022.120037, 模型-数据结合的电池核心温度估计）

[J2] Yunhong Che, Yusheng Zheng, Yue Wu (武悦), Xin Sui, Pallavi Bharadwaj, Daniel-Ioan Stroe, Yalian Yang*, Xiaosong Hu*, Remus Teodorescu. Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network. Applied Energy, 2022, 323, 119663.（https://doi.org/10.1016/j.apenergy.2022.119663, 基于概率回归的锂离子电池容量估计与预测）

[J1] Lisen Yan, Jun Peng, Dianzhu Gao, Yue Wu (武悦), Yongjie Liu, Heng Li, Weirong Liu*, Zhiwu Huang. A hybrid method with cascaded structure for early-stage remaining useful life prediction of lithium-ion battery. Energy, 2022, 243, 123038.（https://doi.org/10.1016/j.energy.2021.123038, 串级结构的电池剩余使用寿命混合预测方法）