导师风采 | 洪吉超：以授业解惑为根，以教学科研为引，激发创新，未来可期 （机械）

邮箱：hongjichao@ustb.edu.cn

教育工作经历

2021.06-至今 北京科技大学机械工程学院 副教授

2021.08-2022.08 江苏徐州市云龙区科技镇长团 科技局副局长

2020.08-2021.06 北京科技大学机械工程学院 特聘副教授

2020.07-2023.06 北京科技大学机械工程学院  鼎新博士后

2017.10-2019.08 韦恩州立大学（美国） 博士联合培养

2015.09-2020.07 北京理工大学机械与车辆学院 博士

2012.09-2015.06 青岛大学机电工程学院  硕士

2008.09-2012.06 青岛大学机电工程学院 本科

学术称号

2023年度“北京市科技新星”

2023年度斯坦福大学全球前2%顶尖科学家

中华环境保护基金会“能源与环境青年先锋”

学术兼职

[1] IEEE PES中国区电动汽车技术委员会动力电池技术分委会理事

[2] 北京理工大学深圳汽车研究院特聘研究员

[3] 中国能源学会综合专家委员会委员

[4] 中国电工技术学会高级会员及青年工作委员会委

[5] Viser专家库（VE）机械工程专业委员会

[6] 海南省检测认证学会监事

[7] 氢能燃料电池百人会会员

[8] 佛山市青年科学家协会理事

[9] 中国汽车工程学会、中国机械工程学会、中国颗粒学会会员

[10] 《机械工程学报》、《工程科学学报》、《Energy Reviews》青年编委

[11] ICTIS 2021（国际交通信息与安全会议）学术委员会委员和分会场主席、EVS 34（第34届世界电动汽车大会）分会场主席、2024 第二十二届中国电动车辆学术年会分会场主席、第二届智能电气电网和可再生能源国际会议（SEGRE2024）分论坛主席

学术科研成果

[1] 国家自然科学基金青年项目，大数据驱动的车用动力电池故障诊断与协同安全控制研究；

[2] “十四五”装备预研共用技术项目，动力电池故障诊断与安全控制器开发

[3] 广东省自然科学基金面上项目，“端-边-云”融合的新能源汽车动力电池系统智能安全管理研究

[4] 中国博士后科学基金面上项目，新能源汽车动力电池全寿命周期状态跟踪与安全控制研究；

[5] 佛山市人民政府科技创新专项-产学研合作项目，高性能燃料电池系统开发与控制技术；

[6] 东莞新能达能源科技有限公司企业横向，基于数据驱动的锂电池故障诊断算法；

[7] 北京科技大学高水平人才引进项目，动力电池系统安全控制策略研究。

[8] 北京科技大学顺德研究生院博士后科研项目，新能源汽车动力系统集成与智能安全控制研究；

[9] 汽车仿真与控制国家重点实验室开放基金项目，“人-车-路-网”融合的动力电池系统智能协同安全控制；

[10] 金属轻量化成形制造北京市重点实验室开放基金, 电动矿车电池包安全性和轻量化研究

[11] 北京科技大学青年教授学科交叉研究项目，智能安全铝离子电池材料服役性能仿真及控制策略研究。

代表性论文

[1] Jichao Hong*, Fengwei Liang, Haixu Yang, et al. Multi- Forword-Step State of Charge Prediction for Real-world Electric Vehicles Battery Systems Using A Novel LSTM-GRU Hybrid Neural Network. eTransportation. 2024(20):100322. (IF= 11.9, JCR Q1, TOP)

[2] Jichao Hong*, Fengwei Liang, Huaqin Zhang, et al. Data-driven multi-dimension driving safety evaluation for real-world electric vehicles. IEEE Transactions on Vehicular Technology, 2024. (IF= 6.8, JCR Q1, TOP)

[3] Jichao Hong*, Zhenpo Wang, Xinyang Zhang, et al. Collision-Caused Thermal Runaway Investigationof Li-ion Battery in Real-World Electric Vehicles. Applied Thermal Engineering. 2024, 236: 121901. (IF= 6.519, JCR Q1, TOP)

[4] Jichao Hong, Kerui Li, Haixu Yang, et al. A Novel State of Health Prediction Method for Battery System in Real-world Vehicles Based on Gated Recurrent Unit Neural Networks. Energy, 2024, 289: 129918. (IF= 8.857, JCR Q1, TOP)

[5] Jichao Hong, Tiezhu Zhang, Zhen Zhang, et al. Investigation of Energy Management Strategy for a Novel Electric-Hydraulic Hybrid Vehicle: Self-Adaptive Electric-Hydraulic Ratio. Energy. 2023: 127582. (IF= 8.857, JCR Q1, TOP)

[6] Jichao Hong, Zhenpo Wang, Changhui Qu, et al. Investigation on Overcharge-caused Thermal Runaway of Lithium-Ion Batteries in Real-world Electric Vehicles. Applied Energy. 2022, 321(5):119229. (IF= 11.446, JCR Q1, TOP)

[7] Jichao Hong, Huaqin Zhang. Thermal Fault Prognosis of lithium-ion Batteries in Real-world Electric Vehicles Using Self-Attention Mechanism Networks. Applied Thermal Engineering. 2023: 120304. (IF= 6.519, JCR Q1, TOP, ESI高被引)

[8] Jichao Hong, Zhenpo Wang, Fei Ma, et al. Thermal Runaway Prognosis of Battery Systems Using the Modified Multi-Scale Entropy in Real-World Electric Vehicles. IEEE Transactions on Transportation Electrification. 2021, 7(4): 2269-2278. (IF= 6.519, JCR Q1, TOP)

[9] Jichao Hong, Zhenpo Wang, Wen Chen, et al. Online Accurate State of Health Estimation for Battery Systems on Real-World Electric Vehicles with Variable Driving Conditions Considered. Journal of Cleaner Production. 2021, 294: 125814. (IF= 11.072, JCR Q1, TOP，ESI高被引)

[10] Jichao Hong, Fei Ma, et al. A novel mechanical-electric-hydraulic power coupling electric vehicle considering different electrohydraulic distribution ratios. Energy Conversion and Management. 2021, 249: 114870. (IF= 11.533, JCR Q1, TOP)

[11] Jichao Hong, Zhenpo Wang, and Yongtao Yao. Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks. Applied Energy, 2019, 251: 113381. (IF= 11.446, JCR Q1, TOP, ESI高被引)

[12] Jichao Hong, Zhenpo Wang, Wen Chen, et al. Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks. Applied Energy, 2019, 254: 113648. (IF= 11.446, JCR Q1, TOP)

[13] Jichao Hong, Zhenpo Wang, Tiezhu Zhang, et, al. Research on Integration Simulation and Balance Control of A Novel Load Isolated Pure Electric Driving System. Energy, 2019, 189: 116220. (IF= 8.857, JCR Q1, TOP)

[14] Jichao Hong, Zhenpo Wang*, Changhui Qu*, et, al. Fault Prognosis and Isolation of Lithium-ion Batteries in Electric Vehicles Considering Real-Scenario Thermal Runaway Risks. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2023, 11(1): 88-99. (IF=5.462, JCR Q1)

[15] Jichao Hong*, Zhenpo Wang, Wen Chen, et al. Multi-fault Synergistic Diagnosis of Battery Systems Based on the Modified Multi-scale Entropy for Electric Vehicles. International Journal of Energy Research. 2019, 43: 8350–8369. (IF= 5.164, JCR Q1, TOP)

[16] Jichao Hong, Zhenpo Wang, Wen Chen, et, al. Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles. Journal of Energy Storage, 2020, 30: 101459. (IF=9.4, JCR Q1, TOP)

[17] 洪吉超*, 梁峰伟, 杨海旭, 李克瑞. 大数据驱动动力电池智能安全管理与控制方法研究. 汽车工程,2023,45(10):1845-1861,1907.

[18] 洪吉超*, 张昕阳, 等. 基于多熵融合的动力电池故障诊断与应用研究. 机械工程学报. 2023.02录用.

[19] Zhen Zhang, Tiezhu Zhang, Jichao Hong*, et al. Energy Management Strategy of a Novel Parallel Electric-Hydraulic Hybrid Electric Vehicle based on PPO-LSTM and Entropy Evaluation. Journal of Cleaner Production, 2023, 403: 136800. (IF= 11.072, JCR Q1, TOP)

[20] Xinyang Zhang, Jichao Hong*, et al. Fault diagnosis of real-scenario battery systems based on modified entropy algorithms. Journal of Energy Storage. 2023: 107079. (IF=9.4, JCR Q1, TOP)

[21] Haixu Yang, Jichao Hong*, Fengwei Liang, et al. Machine learning-based state of health prediction for battery systems in real-world electric vehicles. Journal of Energy Storage. 2023, 66: 107426. (IF=9.4, JCR Q1, TOP)

[22] Zhen Zhang, Tiezhu Zhang, Jichao Hong*, et al. Double deep Q-network guided energy management strategy of a novel electric-hydraulic hybrid electric vehicle. Energy. 2023: 126858. (IF= 8.857, JCR Q1, TOP)

[23] Jian Yang, ……, Jichao Hong*, et al. Application of energy conversion and integration technologies based on electro-hydraulic hybrid power systems: A review. Energy Conversion and Management. 2022, 272: 116372. (IF= 11.533, JCR Q1, TOP)

[24] Lei Zhao, Jichao Hong*, Jiaping Xie, et al. Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy. Energy, 2022: 125381. (IF=8.857, JCR Q1, TOP)

[25] Renzheng Li, Jichao Hong*, et al. Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles. Energy, 2022: 124771. (IF=8.857, JCR Q1, TOP)

[26] Jian Yang, Tiezhu Zhang, Jichao Hong*, et al. Research on Driving Control Strategy and Fuzzy Logic Optimization of A Mechatronics-Electro-Hydraulic Power Coupling Electric Vehicle. Energy, 2021: 121221. (IF= 8.857, JCR Q1, TOP)

[27] Zhen Zhang, Tiezhu Zhang, Hong Jichao*, et al. Entropy-based torque control strategy of Mechanical–Electric–Hydraulic Power Coupling Vehicles. Control Engineering Practice. 2023, 133: 105437. (IF= 4.057, JCR Q1)

[28] Haixu Yang, Xiaoming Xu, Jichao Hong*. Automatic Parking Path Planning of Tracked Vehicle Based on improved A* and DWA algorithms. IEEE Transactions on Transportation Electrification. 2023, 9(1): 283-292. (IF= 6.519, JCR Q1)

专利

[1] 动力电池安全状态的监控检测方法及装置, 202110637447.X, 授权公告日 2022-07-12

[2] 燃料电池系统动态性能预测方法及装置, 202110637431.9, 授权公告日 2022-07-12

[3] 燃料电池系统在线故障诊断方法及装置，202110636350.7，授权公告日2023-10-10

著作

洪吉超著. 动力电池运行安全大数据分析与应用. 北京: 机械工业出版社, 2023.3. 新能源汽车关键技术研发系列）ISBN 978-7-111-72607-4. 中国国家版本馆CIP数据核字(2023)第027505号.

所获荣誉

[1] 2022年中国产学研合作促进会产学研合作创新奖（个人奖）

[2] 中国发明协会2022年度发明创业奖成果奖一等奖（第1）

[3] 中国发明协会2021年度发明创业奖创新奖一等奖（第2）

[4] 中国检验检测学会2021年技术创新应用发展成果奖（第6）

[5] 北科大第31届本科教育教学成果奖特等奖

[6] 北科大第1届研究生教育教学成果奖二等奖

[7] MDPI 2021 Excellent Reviewer Award

[8] The Best Reviewer Award (ICTIS 2021)

[9] 《机械工程学报》两刊优秀审稿专家

[10] 《电气工程学报》优秀审稿专家

[11] 中国汽车工程学会优秀博士论文

[12] 大湾区双碳论坛储能材料与技术分会优秀报告奖

[13] 北京科技大学院级优秀本科生导师

[14] 北京科技大学校级优秀本科生导师

指导学生竞赛获奖

[1] 第二届长江杯“动力电池集成及管理技术挑战赛”国赛决赛优秀奖

[2] 第25届“摇篮杯”创业竞赛特等奖

[3] SRTP项目校级一等奖2项

[4] 首届企校协同创新大赛新能源汽车领域枣庄专项赛二等奖

[5] 2023全国“数字汽车”大赛创新组二等奖、创业组二等奖

[6] 2022全国“数字汽车”大赛创新组一等奖、三等奖

[7] 2021全国“数字汽车”大赛创新组二等奖、创业组三等奖

指导学生学术获奖

[1] The Excellent Paper Award (EVS 34 & ICIEV 2021)

[2] 中国汽车工程学会年会优秀青年论文

[3] 学术三分钟院级二等奖

[4] 国家奖学金、学术十佳之星、麦克恒通奖学金等

指导学生发表成果

[1] Multi- Forword-Step State of Charge Prediction for Real-world Electric Vehicles Battery Systems Using A Novel LSTM-GRU Hybrid Neural Network. eTransportation. 2024. (中科院一区SCI，TOP)

[2] Data-driven multi-dimension driving safety evaluation for real-world electric vehicles. IEEE Transactions on Vehicular Technology, 2024. (中科院一区SCI，TOP)

[3] Collision-Caused Thermal Runaway Investigationof Li-ion Battery in Real-World Electric Vehicles. Applied Thermal Engineering. 2024. (中科院一区SCI，TOP)

[4] A Novel State of Health Prediction Method for Battery System in Real-world Vehicles Based on Gated Recurrent Unit Neural Networks. Energy, 2024. (中科院一区SCI，TOP)

[5] Thermal Fault Prognosis of lithium-ion Batteries in Real-world Electric Vehicles Using Self-Attention Mechanism Networks. Applied Thermal Engineering. 202. (中科院一区SCI，TOP，ESI高被引)

[6] Multi-forward-step Battery Voltage Prediction for Real-World Electric Vehicles Using Gated Recurrent Units. Journal of Energy Storage. 2023. (中科院二区SCI，TOP)

[7] Sensitivity Analysis of Proton Exchange Membrane Fuel Cells Based on Fixed Frequency Impedance. International Journal of Hydrogen Energy. 2024. (中科院二区SCI，TOP)

[8] Intelligent Safety Management Technology for Power and Energy Storage Batteries: Advancements and Trends. Chain. 2024.

[9] 大数据驱动动力电池智能安全管理与控制方法研究. 汽车工程. 2023.

[10] 基于多熵融合的动力电池故障诊断与应用研究. 机械工程学报. 2023.

[11] 新能源汽车动力电池“过充电-热失控”安全防控技术研究综述. 2022.(《机械工程学报》2022年度最受关注论文)

[12] 新能源汽车动力电池“机械滥用-热失控”及其安全防控技术综述. 2022. (《机械工程学报》2022年度最受关注论文)

[13] A fast data analysis method for abnormity detecting of lithium-ion batteries in electric vehicles. Journal of Energy Storage, 2024. (中科院二区SCI，TOP)

[14] Energy Management Strategy of a Novel Parallel Electric-Hydraulic Hybrid Electric Vehicle based on PPO-LSTM and Entropy Evaluation. Journal of Cleaner Production, 2023. (中科院一区SCI，TOP)

[15] Fault diagnosis of real-scenario battery systems based on modified entropy algorithms. Journal of Energy Storage. 2023. (中科院一区SCI，TOP)

[16] Machine learning-based state of health prediction for battery systems in real-world electric vehicles. Journal of Energy Storage. 2023. (中科院二区SCI，TOP)

[17] Double deep Q-network guided energy management strategy of a novel electric-hydraulic hybrid electric vehicle. Energy. 2023. (中科院一区SCI，TOP)

[18] Application of energy conversion and integration technologies based on electro-hydraulic hybrid power systems: A review. Energy Conversion and Management. 2022. (中科院一区SCI，TOP)

[19] Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation. Energy, 2022. (中科院一区SCI，TOP)

[20] Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy. Energy, 2022. (中科院一区SCI，TOP)

[21] Accurate state of charge prediction for real-world battery systems using a novel dual-dropout-based neural network. Energy. (中科院一区SCI，TOP)

[22] A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms. eTransportation, 2023. (中科院一区SCI，TOP)

[23] Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles. Energy, 2022. (中科院一区SCI，TOP)

[24] Research on Driving Control Strategy and Fuzzy Logic Optimization of a Novel Mechatronics-Electro-Hydraulic Power Coupling Electric Vehicle. Energy, 2021. (中科院一区SCI，TOP)

对考生要求

1. 热爱钻研、热爱生活、态度端正、做事细心

2. 掌握一定python、matlab和origin等学术工具的基本操作

3. 具有一定新能源汽车相关知识基础，参与过本领域项目研究或者竞赛

4. 在数学、电气、计算机、电化学等方面具有一定知识储备，逻辑思维能力较强

宣传资料