代表性成果

[1] Wu L, Liu K*, Pang H*. Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery. Electrochimica Acta, 2021, 368: 137604. （SCI二区Top期刊，IF=6.6）

[2] Wu L, Pang H*, Liu K*, et al. Low-complexity SOC and anode potential prediction for lithium-ion batteries using a simplified electrochemical model-based observe under variable load condition. International Journal of Energy Research, 2022, 46(9):11834-11848. (SCI二区Top期刊，IF=4.6，ESI高被引论文)

[3] 武龙星, 庞辉*, 晋佳敏等. 基于电化学模型的锂离子电池荷电状态估计方法综述. 电工技术学报, 2022, 37(07):1703-1725.（一级学报，EI）

[4] Wu L, Liu K*, Liu J, et al. Evaluating the heat generation characteristics of cylindrical lithium-ion battery considering the discharge rates and N/P ratio. Journal of Energy Storage, 2023, 64:10782.（SCI二区，IF=9.4，ESI高被引论文）

[5] Pang H, Wu L*, Liu J, et al. Physics-informed neural network method for heat generation estimation of lithium-ion battery under driving cycle condition. Journal of Energy Chemistry. 2023, 78：1-12. (SCI一区Top期刊，IF=13.1，ESI高被引论文)

[6] Wu L*, Lyu Z, Huang Z, et al. Physics-based battery SOC estimation methods: Recent advances and future perspectives[J]. Journal of Energy Chemistry, 2024, 89: 27-40. (SCI一区Top期刊，IF=13.1，ESI热点论文)

[7] Lin C, Tuo X*, Wu L*, et al. Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries[J]. Batteries, 2024, 10(3): 71.(SCI四区，IF=4)

其他学术成果

[1] Wu Longxing, Liu Kai*, Pang Hui*, Jin Jiamin. Online SOC estimation based on simplified electrochemical model for lithium-ion batteries considering current bias. Energies, 2021, 14(17): 5265.

[2] 庞辉*, 郭龙, 武龙星, 等. 考虑环境温度影响的锂离子电池改进双极化模型及其荷电状态估算. 电工技术学报, 2021, 36(10): 2178-2189.

[3] Huang Zebo, Mu Aale*, Wu Longxing, Wang Hang, Zhang Yongjun. Electrolyte flow optimization and performance metrics analysis of vanadium redox flow battery for large-scale stationary energy storage. International Journal of Hydrogen Energy, 2021, 46(63): 31952-31962.

[4] Pang Hui*, Guo Long, Wu Longxing, Jin Jiamin, Zhang Fengqi, Liu Kai. A novel extended Kalman filter-based battery internal and surface temperature estimation based on an improved electro-thermal model. Journal of Energy Storage, 2021, 41: 102854.

[5] Pang Hui*, Jin Jianmin, Wu Longxing, Zhang Fengqi, Liu Kai. A comprehensive physics-based equivalent-circuit model and state of charge estimation for lithium-ion batteries. Journal of The Electrochemical Society, 2021, 168(9): 090552.

[6] Huang Zebo, Mu Anle*, Wu Longxing, Wang Hang. Vanadium redox flow batteries: Flow field design and flow rate optimization. Journal of Energy Storage, 2022, 45: 103526.(ESI高被引论文)

[7] Huang Zebo, Mu Anle*, Wu Longxing, Yangbin, Qian Ye, Wang Jiahui. Comprehensive analysis of critical issues in all-vanadium redox flow battery. ACS Sustainable Chemistry & Engineering, 2022, 10(24): 7786-7810.

[8] Pang Hui*, Geng Yuanfei, Liu Xiaofei, Wu Longxing. A Composite State of Charge Estimation for Electric Vehicle Lithium-Ion Batteries Using Back-Propagation Neural Network and Extended Kalman Particle Filter. Journal of The Electrochemical Society, 2022, 169(11): 110516.

[9] Liu Jiahao, Pang Hui*, Geng Yuanfei, Wu Longxing. Thermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures. Journal of The Electrochemical Society, 2023.170(6):060542.

[10] Qiang X, Tang Y, Wu Longxing, et al. Li‐Ion Battery State of Health Estimation Using Hybrid Decision Tree Model Optimized by Bayesian Optimization. Energy Technology, 2024. 2301065.

[11] Pang Hui, Chen Kaiqiang, Geng Yuanfei, Wu Longxing. Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter[J]. Energy, 2024: 130555.