Publications
Journal papers
Early Access
[J35] Fukang Shen, Guangzhong Dong*, Zhipeng Zhu, Li Sun, Yunjiang Lou, An Online Model-Based Diagnosis Method for Micro-Short Circuits in Series-Connected Lithium-Ion Battery Packs. IEEE Transactions on Intelligent Transportation Systems, Early Access.
[J34] Haonan Chen, Guangzhong Dong*, Shaohua Xie, Yifei Wang, Yunjiang Lou, A Scalable Recurrent Structure With Fast Transfer Learning for Lithium-Ion Battery State of Charge Estimation at Different Ambient Temperatures. IEEE Transactions on Intelligent Transportation Systems, Early Access.
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[J33] Haonan Chen, Guangzhong Dong*, Yifei Wang, Jincheng Yu, Liangcai Wu, Yunjiang Lou, Data-Driven Battery Health Prognosis Using Scalable Deep Recurrent Structure and Partial Fast-Charging Profiles. IEEE Transactions on Vehicular Technology, Early Access.
2025
[J32] Nanbing Hua, Haonan Chen, Guangzhong Dong*, Deep transfer learning-enabled battery health prognosis using impedance spectrum data. Journal of Energy Storage, 2025, 132(Part C):117855.
[BibTex]
[J31] Daren Chen, Li Sun, Fukang Shen, Guangxin Gao, Yunjiang Lou, Guangzhong Dong*, A fuzzy extended PI observer for state of charge estimation of LiFePO4 batteries across broad temperature ranges. Journal of Energy Storage, 2025, 128:116964.
[J30] Guangxin Gao, Guangzhong Dong*, Yunjiang Lou, Li Sun, Jingwen Wei, Physics-Informed Data-Driven Power Capacity Prediction of Lithium-Ion Battery Against Various Temperatures. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(6):8670 – 8681.
[J29] Shaohua Xie, Guangzhong Dong*, Haonan Chen, Li Sun, Yunjiang Lou, Data-Driven Battery Health Prognostics Using Time-Frequency Feature Maps and Spatial-Temporal Neural Network. IEEE Transactions on Vehicular Technology, 2025, 74(5):8226 – 8237.
[J28] Zhipeng Zhu, Guangzhong Dong*, Yunjiang Lou, Li Sun, Jincheng Yu, Liangcai Wu, MPC-Guided Deep Reinforcement Learning for Optimal Charging of Lithium-Ion Battery With Uncertainty. IEEE Transactions on Transportation Electrification, 2025, 11(1):4408 – 4419.
[J27] Guangzhong Dong, Nanbing Hua, Haonan Chen, Yunjiang Lou, Deep Transfer Learning Enabled State of Health Estimation of Lithium-Ion Battery Using Voltage Sample Entropy Under Fast Charging Profiles. IEEE Transactions on Transportation Electrification, 2025, 11(1):3703 – 3714.
2024
[J26] Guangzhong Dong, Zhipeng Zhu, Yunjiang Lou, Jincheng Yu, Liangcai Wu, Jingwen Wei, Hybrid Physics and Data-Driven Electrochemical States Estimation for Lithium-ion Batteries. IEEE Transactions on Energy Conversion, 2024, 39(4):2689 – 2700.
[J25] Guangzhong Dong, Zhipeng Zhu, Yunjiang Lou, Jincheng Yu, Liangcai Wu, Jingwen Wei, Optimal Charging of Lithium-Ion Battery Using Distributionally Robust Model Predictive Control With Wasserstein Metric. IEEE Transactions on Industrial Informatics, 2024, 20(5):7630 – 7640.
[J24] Guangzhong Dong, Fukang Shen, Li Sun, Mingming Zhang, Jingwen Wei, A Bayesian Inferred Health Prognosis and State of Charge Estimation for Power Batteries. IEEE Transactions on Instrumentation and Measurement, 2024, 74:1000312.
[J23] Guangzhong Dong, Yuyao Feng, Yunjiang Lou, Mingming Zhang, Jingwen Wei, Data-Driven Fast Charging Optimization for Lithium-Ion Battery Using Bayesian Optimization With Fast Convergence. IEEE Transactions on Transportation Electrification, 2024, 10(2):4173 – 4183.
2023
[J22] Guangzhong Dong, Yuyao Feng, Yifei Wang, Jingwen Wei, Probabilistic dischargeable time forecasting of power batteries via statistical characterization of future loading profiles. Journal of Energy Stroage, 2023, 59(6):106488.
[J21] Jingwen Wei, Chunlin Chen, Guangzhong Dong*, Global Sensitivity Analysis for Impedance Spectrum Identification of Lithium-Ion Batteries Using Time-Domain Response. IEEE Transactions on Industrial Electronics, 2023, 70(4):3825 – 3835.
2022
[J20] Guangzhong Dong, Yan Xu, Zhongbao Wei, A Hierarchical Approach for Finite-Time H-∞ State-of-Charge Observer and Probabilistic Lifetime Prediction of Lithium-Ion Batteries. IEEE Transactions on Energy Conversion, 2022, 37(1):718 – 728.
[J19] Weiji Han, Anton Kersten, Changfu Zou, Torsten Wik, Xiaoliang Huang, Guangzhong Dong*, Analysis and Estimation of the Maximum Switch Current During Battery System Reconfiguration. IEEE Transactions on Industrial Electronics, 2022, 69(6):5931 – 5941.
2021
[J18] Guangzhong Dong, Jingwen Wei, A physics-based aging model for lithium-ion battery with coupled chemical/mechanical degradation mechanisms. Electrochimica Acta, 2021, 395:139133.
[J17] Guangzhong Dong, Mingqiang Lin, Model-based thermal anomaly detection for lithium-ion batteries using multiple-model residual generation. Journal of Energy Stroage, 2021, 40:102740.
[J16] Guangzhong Dong, Weiji Han; Yujie Wang, Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles. IEEE Transactions on Industrial Electronics, 2021, 68(11):10949 – 10958.
Before 2021
[J15] Guangzhong Dong, Jingwen Wei, Determination of the load capability for a lithium-ion battery pack using two time-scale filtering. Journal of Power Sources, 2020, 480(11):229056.
[J14] Jingwen Wei, Guangzhong Dong*, Zonghai Chen*, Lyapunov-Based Thermal Fault Diagnosis of Cylindrical Lithium-Ion Batteries. IEEE Transactions on Industrial Electronics, 2020, 67(6):4670 – 4679.
[J13] Guangzhong Dong, Fangfang Yang, Kwok-Leung Tsui, Changfu Zou, Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm. IEEE Transactions on Industrial Informatics, 2020, 17(4):2587 – 2599.
[J12] Guangzhong Dong, Zonghai Chen, Jingwen Wei, Sequential Monte Carlo Filter for State-of-Charge Estimation of Lithium-Ion Batteries Based on Auto Regressive Exogenous Model. IEEE Transactions on Industrial Electronics, 2019, 66(11):8533 – 8544.
[J11] Guangzhong Dong, Fangfang Yang, Zhongbao Wei, Jingwen Wei, Kwok-Leung Tsui, Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model. IEEE Transactions on Industrial Informatics, 2019, 16(7):4736 – 4746.
[J10] Chenbin Zhang, Yayun Zhu, Guangzhong Dong*, Jingwen Wei*, Data-driven lithium-ion battery states estimation using neural networks and particle filtering. International Journal of Energy Research, 2019, 43(8):8230–8241.
[J9] Fangfang Yanga, Xiangbao Song, Guangzhong Dong*, Kwok-Leung Tsui, A coulombic ef ciency-based model for prognostics and health estimation of lithium-ion batteries. Energy, 2019, 171:1173-1182.
[J8] Guangzhong Dong, Zonghai Chen, Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering. IEEE Transactions on Industrial Informatics, 2019, 15(2):869 – 877.
[J7] Guangzhong Dong, Zonghai Chen, Jingwen Wei; Qiang Ling, Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering. IEEE Transactions on Industrial Electronics, 2018, 65(11):8646 – 8655.
[J6] Guangzhong Dong, Jingwen Wei, Zonghai Chen, Constrained Bayesian dual-filtering for state of charge estimation of lithium-ion batteries. International Journal of Electrical Power & Energy Systems, 2018, 99:516-524.
[J5] Guangzhong Dong, Jingwen Wei, Zonghai Chen, Han Sun, Xiaowei Yu, Remaining dischargeable time prediction for lithium-ion batterie using unscented Kalman filter. Journal of Power Sources, 2017, 364:316-327.
[J4] Guangzhong Dong, Jingwen Wei, Zonghai Chen, Kalman filter for onboard state of charge estimation and peak power capability analysis of lithium-ion batteries. Journal of Power Sources, 2016, 328:615-626.
[J3] Guangzhong Dong, Jingwen Wei, Chenbin Zhang, Zonghai Chen, Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method. Applied Energy, 2016, 162:163-171.
[J2] Guangzhong Dong, Zonghai Chen, Jingwen Wei, Chenbin Zhang, Peng Wang, An online model-based method for state of energy estimation of lithium-ion batteries using dual filters. Journal of Power Sources, 2016, 301:277-286.
[J1] Guangzhong Dong, Xu Zhang, Chenbin Zhang, Zonghai Chen, A method for state of energy estimation of lithium-ion batteries based on neural network model. Energy, 2015, 90(P1):879-888.
Digital Intelligent Battery Lab 
