2012-2016，美国俄亥俄州立大学，机械工程博士
2009-2012，同济大学，车辆工程硕士
2005-2009，大连交通大学，车辆工程学士

2021至今，bat365在线中国官网登录入口，bat365在线中国官网登录入口，副教授
2016-2020，美国康明斯全球研发中心，电池建模及控制团队负责人、高级技术专家
2016，美国俄亥俄州立大学，博士后

面向电动汽车、风光电池储能系统，围绕高安全、长寿命，开展以下研究：
1. 电池多尺度物理模型建模
2. 电池老化机理及寿命预测
3. 电池健康状态诊断及预后
4. 机理模型与深度学习算法融合的电池智能管理

课题组拥有国际一流的电池测试及表征实验室，常年招收硕士、博士研究生、本科生，欢迎对实验设计、数学建模、控制算法、人工智能机器学习感兴趣的同学加入团队。

美国机械工程师学会ASME《Journal of Dynamic Systems, Measurement and Control》副主编

审稿人：
Applied Energy
Journal of Power Sources
Journal of Energy Storage
Energy Conversion and Management
Energy
Journal of Electrochemical Society
IEEE Transactions on Vehicular Technology
IEEE Transactions on Energy Conversion
Journal of Cleaner Production
Control Engineering Practice

2024-2026，国家自然科学基金青年项目，基于理化特征参数映射的电池热稳定性衰退机制与预测方法研究，主持
2023-2026，上海市自然科学基金面上项目，计及老化路径依赖性的锂离子电池渐进性损伤与失效机理研究，主持
2022-2024，宁德时代新能源科技股份有限公司，全天候可用的高精电池模型和在线参数辨识算法，主持
2021-2024，bat365在线中国官网登录入口科研启动资金，主持

2018-2021，CMI/UCCS海外校企联合项目，"Physics-Based Reduced-Order Battery Aging Model and Validation"，主持
2017-2018，CMI/Purdue海外校企联合项目，"Advanced Hybrid System Design"，主持
2016-2022，美国国家自然基金，"CAREER: A New Framework for Model Order Reduction of Nonlinear PDEs with Application to Control and Estimation in High-Performance Engines and Electrified Vehicles"，主要参与
2015-2016，Ford/OSU海外校企联合项目，"Prediction of Degradation Induced by Thermal Gradients in Lithium-Ion Batteries through Reduced-Order Pseudo-3D Electrochemical-Thermal Models"，主要参与

• Z. Sun , G. Fan#, Y. Liu , B. Zhou , Y. Wang , S. Chen , X. Zhang. Interactive fusion of local and global degradation representations for rapid estimation of lithium-ion battery state-of-health, Journal of Energy Storage 90 (2024): 111832
• J. Han, C. Zhu, G. Fan, B. Guo, Z. Zeng, and X. Zhang. "Fast and Energy-Efficient Compound Self-Heating of Automotive Batteries Based on Electrochemical-Thermal-Stress Aging Model." IEEE Transactions on Transportation Electrification (2024).
• B. Zhou, G. Fan#, Y. Wang, Y. Liu, S. Chen, Z. Sun, C. Meng, J. Yang, X. Zhang. Life-extending optimal charging for lithium-ion batteries based on a multi-physics model and model predictive control. Applied Energy 361 (2024): 122918.
• G. Fan, J. Li, Z. Sun, Y. Liu, and X. Zhang. "Battery capacity estimation based on a co-learning framework with few-labeled and noisy data." Journal of Power Sources 600 (2024): 234263.
• Y. Wang, B. Zhou, Y. Liu, Z. Sun, S. Chen, B. Guo, J. Huang, Y. Chen, G. Fan#, and Xi Zhang. "A reduced-order electrochemical battery model for wide temperature range based on Pareto multi-objective parameter identification method." Journal of Energy Storage 84 (2024): 110876.
• C. Shun, G. Fan#, Y. Wang, B. Zhou, S. Ye, Y. Liu, B. Guo, C. Zhu, and X. Zhang. "The impact of intermittent overcharging on battery capacity and reliability: Electrochemical performance analysis and failure prediction." Journal of Power Sources 591 (2024): 233800.
• G. Li, G. Fan, X. Zhang, J. Han, Y. Wang, Y. Liu, L. Jia, B. Guo, C. Zhu, and M. He. "Modeling of an all-solid-state battery with a composite positive electrode." eTransportation (2024): 100315.
• Y. Liu, G. Fan#, B. Zhou, S. Chen, Z. Sun, Y. Wang, and X. Zhang. "Rapid and flexible battery capacity estimation using random short-time charging segments based on residual convolutional networks." Applied Energy 351 (2023): 121925.
• M. Gianluca, Z. Zhu, P. B. Ringler, G. Fan, and M. Canova. "Model Order Reduction of the Doyle-Fuller-Newman Model via Proper Orthogonal Decomposition and Optimal Collocation." In 2023 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1-6. IEEE, 2023.
• G. Fan, D. Lu, M. S. Trimboli, G. Plett, C. Zhu, and X. Zhang. "Nondestructive diagnostics and quantification of battery aging under different degradation paths." Journal of Power Sources 557 (2023): 232555.
• G. Fan, and X. Zhang. "Battery capacity estimation using 10-second relaxation voltage and a convolutional neural network." Applied Energy 330 (2023): 120308.
• J. Zhu, Z. Huang, J. Li, Y. Gao, X. Zhang, and G. Fan#. "A framework for lossy compression and recovery of battery cell voltage." IFAC-PapersOnLine 56, no. 2 (2023): 6105-6110.
• J. Li, J. Zhu, Z. Huang, G. Fan#, and X Zhang. "A Contrastive Learning Battery State of Health Estimation Method Based on Self-supervised Aging Representation." IFAC-PapersOnLine 56, no. 2 (2023): 6130-6135.
• Y. Gao, G. Plett, G. Fan, and X. Zhang. "Enhanced state-of-charge estimation of LiFePO4 batteries using an augmented physics-based model." Journal of Power Sources 544 (2022): 231889.
• C. Zhu, L.Du, B. Guo, G. Fan, F. Lu, H. Zhang, K. Liu, and X. Zhang. "Internal Heating Techniques for Lithium-ion Batteries at Cold Climates: An Overview for Automotive Applications." IEEE Transactions on Transportation Electrification (2022).
• D. Lu, M. S. Trimboli, G. Fan, Y. Wang, and G. Plett. "Nondestructive EIS testing to estimate a subset of physics-based-model parameter values for lithium-ion cells." Journal of The Electrochemical Society 169, no. 8 (2022): 080504.
• C. Zhu, J.Han, B. Guo, G. Fan, and X. Zhang. "A Split-Source Self-Heater for Automotive Batteries Based on Traction Drive Reconfiguration." IEEE Journal of Emerging and Selected Topics in Industrial Electronics 4, no. 1 (2022): 188-197.
• Y. Gao, C. Liu, S. Chen, X. Zhang, G. Fan, and C. Zhu. "Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications." Applied Energy 309 (2022): 118521.
• D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Nondestructive Pulse Testing to Estimate a Subset of Physics-Based-Model Parameter Values for Lithium-Ion Cells, Journal of The Electrochemical Society, 168, 080533
• D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates, Part I: Processing Half-Cell Data, Journal of The Electrochemical Society, 2021, 168(7), 070532.
• D. Lu, M.S. Trimboli, G. Fan, R. Zhang, G. Plett, Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates, Part II: Processing Full-Cell Data, Journal of The Electrochemical Society, 2021, 168(7), 070533.
• G. Fan, X. Li, R. Zhang, Global Sensitivity Analysis on Temperature-Dependent Parameters of A Reduced-Order Electrochemical Model And Robust State-of-Charge Estimation at Different Temperatures, Energy, 223, 120024, 2021.


2020年及以前：
• G. Fan. Systematic Parameter Identification of A Control-Oriented Electrochemical Battery Model and Its Application for State of Charge Estimation at Various Operating Conditions, Journal of Power Sources, 470, 228153, 2020.
• G. Fan, X. Li, M. Canova, A Reduced-Order Electrochemical Model of Li-ion Batteries for Control and Estimation Applications, IEEE Transactions on Vehicular Technology, 67(1), 76-91, 2018.
• X. Li, G. Fan, K. Pan, G. Wei, C. Zhu, G. Rizzoni, M. Canova, A Physics-based Fractional Order Model and State of Energy Estimation for Lithium ion Batteries. Part I: Model Development and Observability Analysis, Journal of Power Sources, 367, 187-201, 2017.
• X. Li, K. Pan, G. Fan, G. Wei, C. Zhu, G. Rizzoni, M. Canova, A Physics-based Fractional Order Model and State of Energy Estimation for Lithium ion Batteries. Part II: Parameter Identification and State of Energy Estimation for LiFePO4 Battery, Journal of Power Sources, 367, 202-213, 2017.
• G. Fan, K. Pan, G.L. Storti, M. Canova, J. Marcicki, X.G. Yang, A Reduced-Order Multi-Scale, Multi-Dimensional Model for Performance Prediction of Large-Format Li-Ion Cells, Journal of The Electrochemical Society, 164(2), A252– A264, 2017.
• X. Li, G. Fan, G. Rizzoni, M. Canova, C. Zhu, G. Wei, A Simplified Multi-Particle Model for Lithium Ion Batteries via a Predictor-Corrector Strategy and Quasi-Linearization, Energy, 116(1), 154 –169, 2016.
• G. Fan, K. Pan, M. Canova, J. Marcicki, X.G. Yang, Modeling of Li-Ion Cells for Fast Simulation of High C-Rate and Low Temperature Operations, Journal of The Electrochemical Society, 163(5), A666 – A676, 2016.
• A. Cordoba-Arenas, S. Onori, G. Rizzoni, G. Fan, Aging Propagation in Advanced Battery Systems: Preliminary Results, IFAC-PapersOnLine, 46.21, 313-318, 2013.
• C. Zhu, X. Li, R. Lu, J. Xu, G. Fan, A comparative study of three electrochemical battery models with different operating conditions, IEEE ITEC Asia-Pacific, 2017.
• P. Brodsky, G. Fan, M. Canova, Battery Pack Design and Optimization for the OSU Buckeye Current 2016 Electric Racing Motorcycle, In Proceedings of 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 2016.
• G. Fan, K. Pan, M. Canova, A Comparison of Model Order Reduction Techniques for Electrochemical Characterization of Lithium-ion Batteries, In Proceedings of IEEE Conference on Decision and Control, 2015.
• G. Fan, M. Canova, Model Order Reduction for an Electrochemical Lithium-ion Battery Model Using Galerkin method, In Proceedings of ASME Dynamic Systems and Control Conference, 2015.
• G. Fan, A. Bartlett, K. Pan, M. Canova and G. Rizzoni. Electrochemical-Thermal Modeling of Li-Ion Battery Packs. In Proceedings of ASME Dynamic Systems and Control Conference, 2014.