学位：博士
职称：硕士生导师
招生学位点：电气工程、电气工程（专）
详细介绍
潘瑞，男，博士，讲师，2020年获得中国科学技术大学博士学位，2020年08月起在湘潭大学自动化与电子信息学院从教至今，主要从事电动汽车/储能电站电池建模与状态估计、大规模退役电池快速检测与梯次利用、能源系统管理与优化等方面研究，发表学术论文40余篇，主持或参与中央引导地方科技发展专项、国家自然科学基金、湖南省重点研发计划、湖南省自然科学基金、湖南省教育厅、产学研合作等科研项目20余项，现为IEEE PES电动汽车技术委员会充换电技术分委会理事，中国自动化学会系统仿真专业委员会委员，中国仿真学会智能仿真优化与调度专业委员会委员，IEEE会员，AE/ENG/TTE/EAAI/EAI/TIM/ JES等SCI期刊审稿人。
招生方向：电气工程（学硕、专硕）
一、主讲课程
1.《C语言程序设计》（本科生）
2.《数据挖掘》（本科生）
3.《单片机原理及应用》（本科生）
二、科研项目(部分)
1. 湖南省自然科学基金面上项目(2026JJ50217)：退役动力电池再服役安全边界辨识与整包梯次利用方法研究，2026.01-2028.12，5万元，在研，主持。
2. 湖南省重点研发计划子课题(2025AQ2010)：焦化、钢铁行业碳足迹核算与碳能协同管控技术及应用，2025.07-2027.06，14万元，在研，主持。
3. 湖南省教育厅优秀青年项目(24B0158)：退役动力电池再服役健康状态与多维度一致性评估方法研究，2024.09-2026.12，6万元，在研，主持。
4. 横向课题：基于人工智能技术的锂电池健康状态估计方法研究，2024.06-2025.06，10万元，已结题，主持。
5. 横向课题：混合型超级电容管理系统软件开发，2023.08-2024.12，15万元，已结题，主持。
6. 湖南省自然科学基金青年项目(2022JJ40453)：车用混合储能系统全生命周期健康评估与能量管理，2022.01-2024.12，5万元，已结题，主持。
7. 湖南省教育厅项目(21C0082)：车用环境下混合储能系统健康状态估计与寿命预测，2021.09-2023.08，2万元，已结题，主持。
8. 博士科研启动项目(21QDZ10)：不确定负载工况下电动汽车混合储能系统协调控制研究，2021.04-2026.04，10万元，主持。
9. 教改项目，面向新工科需求的单片机类课程教学质量提升研究，2022.11-2024.11，1万元，已结题，主持。
10. 湖南省重点研发计划项目(2023GK2030)：电池储能系统集成关键技术及应用，2023.07-2025.7，80万元，已结题，参与。
11. 中央引导地方科技发展专项(2020ZYT003)，支撑能源互联网的非侵入式负荷识别关键技术研究，2020-2021，100万元，已结题，参与。
12. 国家自然科学基金青年项目(61803359)：基于贝叶斯理论的动力电池系统参数与状态联合估计方法研究，2019.01-2021.12，已结题，24万元，参与。
三、期刊论文(部分)
1. Rui Pan, Junjie Li, Duo Yang*, Yu Yan. A Fuzzy RL-Based Energy Management Strategy for Battery/Supercapacitor Hybrid Energy Storage System with Road Condition Recognition[J]. IEEE Transactions on Transportation Electrification, 2025. https://doi.org/10.1109/TTE.2025.3649274 (Early Access)
2. Xianguang Luo, Fu Li, Jinrong Xu, Xuelian Wang, Kaiyu Luo, Rui Pan*. An Online Energy Management Strategy for Lithium-ion Battery/ Supercapacitor Hybrid Energy Storage System Based on Road Condition Recognition and Reinforcement Learning[J]. International Journal of Automation and Control, 2025. (Accepted)
3. Cong Li, Rui Pan*, Ruibin Si, Quanfeng Liu, Juan Zhou. State of health estimation for lithium-ion batteries using multiple indirect features extraction and Bayesian optimization-transformer model[J]. Journal of Energy Engineering, 2026, 152(2): 04025118.
4. Bumin Meng, Zhuo Liu, Rui Pan*, Juan Zhou, Jiaqiang Tian, Duo Yang, Mao Tan. An Impedance-Based Consistency Sorting Method for Retired Batteries via Distribution of Relaxation Time and Specific Frequency Features[J]. Journal of Energy Storage, 2025, 137: 118632.
5. Ruibin Si, Rui Pan*, Quanfeng Liu, Juan Zhou. Health assessment of lithium-ion batteries using multiple indirect feature extraction and WPA-optimized decision tree[J]. Ionics, 202, 31: 11747–11766.
6. Zhuo Liu, Bumin Meng, Rui Pan*, Juan Zhou. An enhanced sorting framework for retired batteries based on multi-dimensional features and an integrated clustering approach[J]. Energy and AI, 2025, 22: 100612.
7. Duo Yang, Siyu Wang, Yuefeng Liao, Rui Pan*. An Online Energy Management Strategy for Fuel Cell Vehicles Based on Fuzzy Q-Learning and Road Condition Recognition[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(9), 12120-12130.
8. Rui Pan, Xiangyu Xiao, Jiazhi Fan, Mao Tan*, Xianguang Luo, Jiaqiang Tian, Duo Yang, Jinrong Xu. Multi-stage deep sorting strategy for retired batteries based on the clustering of static and dynamic features[J]. Journal of Energy Storage, 2024, 99: 113387.
9. Rui Pan*, Yongli Wu, Yilin Wang, Jie Chen, Li Wang. Adaptive power allocation strategy for hybrid energy storage system based on driving pattern recognition[J]. Journal of Energy Storage, 2024, 83: 110787.
10. Rui Pan, Tongshen Liu, Wei Huang, Yuxin Wang, Duo Yang*, Jie Chen. State of health estimation for lithium-ion batteries based on two-stage features extraction and gradient boosting decision tree[J]. Energy, 2023, 285: 129460.
11. Mao Tan, Yuling Ren, Rui Pan* Ling Wang, Jie Chen. Fair and efficient electric vehicle charging scheduling optimization considering the maximum individual waiting time and operating cost[J]. IEEE Transactions on Vehicular Technology, 2023, 72(8): 9808-9820.
12. Rui Pan, Duo Yang, Yujie Wang, Zonghai Chen*. Health degradation assessment of proton exchange membrane fuel cell based an analytical equivalent circuit model[J]. Energy, 2020, 207: 118185.
13. Rui Pan, Duo Yang, Yujie Wang, Zonghai Chen*. Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach[J]. International Journal of Hydrogen Energy, 2020, 45(55): 30994-31008.
14. Rui Pan, Yujie Wang, Xu Zhang, Duo Yang, Zonghai Chen*. Power capability prediction for lithium-ion batteries based on multiple constraints analysis[J]. Electrochimica Acta, 2017, 238: 120-133.
15. Duo Yang; Haoran Lv; Yu Yan; Mince Li; Rui Pan; Jing Liang. A Hybrid Deep Reinforcement-Supervised Learning Framework for Energy Management of Fuel Cell-Battery Hybrid Vehicles[J]. IEEE Transactions on Transportation Electrification, 2026. https://doi.org/10.1109/TTE.2026.3671072
16. Juan Zhou, Qianwang Deng*, Yinwen Ma, Rui Pan, Jingxing Zhang, Mao Tan. Double-layer Q-learning guided NSGA-II for integrated production scheduling and inventory decision considering multi-product orders[J]. Expert Systems With Applications, 2025, 299: 130008.
17. Zhixiang Yang*, Yong Li, Duo Yang, Xijun Feng, Yongwei Sun, Yinglong Zhao, Cuiting Wu, Rui Pan. Enhanced CNN-based state-of-health estimation framework for lithium-ion batteries using variable-length charging segments and transfer learning[J]. Journal of Energy Storage, 2025, 128: 117214.
18. Jun Xiao, Mao Tan*, Rui Pan, Yongxin Su, Ting Li, Zhenxuan Xu. Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-11.
19. Lulu Wang, Hanmei Peng, Mao Tan*, Rui Pan. A Multistep Prediction of Hydropower Station Inflow Based on Bagging-LSTM Model[J]. Discrete Dynamics in Nature and Society, 2021, 1031442.
20. Duo Yang, Rui Pan, Yujie Wang, Zonghai Chen*. Modeling and control of PEMFC air supply system based on T-S fuzzy theory and predictive control[J]. Energy, 2019, 188: 116078.
21. Yujie Wang, Rui Pan, Chang Liu, Zonghai Chen*, Qiang Ling. Power capability evaluation for lithium iron phosphate batteries based on multi-parameter constraints estimation[J]. Journal of Power Sources, 2018, 374: 12-23.
22. Duo Yang, Yujie Wang, Rui Pan, Ruiyang Chen, Zonghai Chen*. State of health estimation for the lithium-ion battery based on support vector regression[J]. Applied Energy, 2018, 227: 273-283.
23. Duo Yang, Xu Zhang, Rui Pan, Yujie Wang, Zonghai Chen*. A novel Gaussian process regression model for state of health estimation of lithium-ion battery using charging curve[J]. Journal of Power Sources, 2018, 384: 387-395.
24. Yujie Wang, Xu Zhang, Chang Liu, Rui Pan, Zonghai Chen*. Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter[J]. Journal of Power Sources, 2018, 389: 93-105.
25. Yujie Wang, Chang Liu, Rui Pan, Zonghai Chen*. Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator[J]. Energy, 2017, 121: 739-750.
四、专利
1. 潘瑞, 李聪, 谭貌, 苏永新. 一种面向随机缺失数据的锂电池健康状态估计方法, 申请号: 202610025090.2
2. 潘瑞, 欧阳志斌, 谭貌, 苏永新, 陈颉, 苏译. 一种面向整包梯次利用的退役电池储能系统调度方法与系统, 申请号: 202610037074.5
3. 潘瑞, 李俊杰, 林增楹, 谭貌, 苏永新, 陈颉. 一种基于模糊强化学习的混合储能系统能量管理策略, 申请号: 202511335112.7
4. 潘瑞, 黄起煜, 刘卓, 孟步敏, 谭貌, 苏永新. 一种基于集成聚类的退役动力电池分选方法, 申请号: 202511335520.2
5. 阳倩, 潘瑞, 林增楹, 贾峻祺, 宾欣慧.一种动力电池组荷电状态估计方法, CN 120761858A
6. 潘瑞, 肖湘宇, 刘卓, 谭貌, 苏永新, 陈颉, 彭寒梅, 孟步敏. 一种融合静动态特征的退役电池多级分选方法, CN 118194060A
7. 谭貌, 张政, 肖俊, 潘瑞, 苏永新, 廖骋臣, 李子彬. 一种特征增强的非侵入式负荷分解方法, ZL 202210466293.7
8. 谭貌, 别岳超, 肖俊, 潘瑞, 苏永新, 廖骋臣, 李子彬. 一种家庭电器负荷分解方法, ZL 202210453503.9
9. 陈宗海, 潘瑞, 李锡云, 王丽, 汪玉洁. 一种带启停均衡控制的燃料电池堆单体电压巡检系统, 国家知识产权局, 2024.02.23, 中国专利, ZL 201810970238.5
10. 陈宗海, 潘瑞, 杨朵, 汪玉洁, 杨晓宇. 一种燃料电池热管理系统及方法, 国家知识产权局, 2023.06.16, 中国专利, ZL201910144133.9
11. 陈宗海, 杨朵, 潘瑞, 汪玉洁, 杨晓宇. 一种燃料电池系统, ZL 201920244891.3
五、培养学生
硕士国家奖学金：刘同学（2023专硕）、刘同学（2022学硕）、肖同学（2022专硕）
指导本科生、研究生竞赛：金种子铜奖（2025）、节能减排国三（2023）、挑战杯省二（2023）、“互联网+”省三（2023）、研究生电赛华中赛区一等奖（2023）、“互联网+”省二（2022）、威胜杯优秀奖（2022）
六、联系方式
办公室：工科楼S601
电子邮箱：pr2020@xtu.edu.cn
