个人信息：

教育经历：

2008.09－2012.06 青岛大学，机械工程学院，获学士学位

2012.09－2015.06 青岛大学，机电工程学院，获硕士学位

2015.09－2020.07 北京理工大学，机械与车辆学院，获博士学位

2017.10－2019.08 韦恩州立大学（美国），工程学院，博士联合培养

工作经历：

2021.06－至今 北京科技大学，车辆工程系，副教授

2021.08－2022.08 江苏省徐州市云龙区科技镇长团 科技局副局长

2020.07－2023.12 北京科技大学，车辆工程系，鼎新博士后

2020.08－2021.06 北京科技大学，车辆工程系，特聘副教授

研究方向：

新能源动力与储能系统（锂电/氢能）集成设计、大数据分析应用与全寿命周期智能管理（健康+安全）。

在顺德创新学院的基础科研条件：

团队依托新能源动力与储能技术研发中心建设，先进新能源智能管理技术团队师生成员10余人，团队主要研究方向包括新能源动力与储能系统（锂电/氢能）集成设计、大数据分析应用与全寿命周期智能管理（健康+安全）。

依托顺德创新学院科研项目：

1、基于数据驱动的锂电池故障诊断方法,横向，2023.6.6-2024.5.5，项目负责人。

2、高性能氢燃料电池系统开发与控制技术研发,北京科技大学顺德创新学院科技创新专项，2021.9.1-2023.8.30，项目负责人。

3、新能源汽车动力系统集成与智能安全控制研究，北京科技大学顺德创新学院博士后科研项目，2021.4.1-2023.3.1，项目负责人。

4、高动态碱性电解水制氢系统开发与控制技术,北京科技大学顺德创新学院科技创新专项，2022.7.1-2024.6.30，参与。

代表性成果：

出版著作：

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. 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.

代表性论文：

[1] 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. DOI: 10.1016/j.apenergy.2022.119229. (IF= 11.446, JCR Q1, TOP)

[2] 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. DOI: 10.1109/TTE.2021.3079114. (IF= 6.519, JCR Q1, TOP)

[3] Jichao Hong, Zhenpo Wang, Wen Chen, Leyi Wang, 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. DOI: 10.1016/j.jclepro.2021.125814. (IF= 11.072, JCR Q1, TOP)

[4] Jichao Hong, Fei Ma, Xiaoming Xu, 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)

[5] 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. DOI: 10.1016/j.apenergy.2019.113381. (IF= 11.446, JCR Q1, TOP)

[6] Jichao Hong, Zhenpo Wang, Wen Chen, Yongtao Yao. Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks. Applied Energy, 2019, 254: 113648. DOI: 10.1016/j.apenergy.2019.113648. (IF= 11.446, JCR Q1, TOP)

[7] 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)

[8] 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)

[9] Jichao Hong*, Zhenpo Wang, Wen Chen and Leyi Wang. 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. DOI: 10.1002/er.4831. (IF= 5.164, JCR Q1, TOP)

[10] 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= 8.907, JCR Q2)

[11] Jichao Hong, Zhenpo Wang and Peng Liu. Big-Data-Based Thermal runaway Prognosis of Battery Systems for Electric Vehicles. Energies. 2017, 10 (7):919. DOI: 10.3390/en10070919. (IF=3.252, JCR Q2)

[12] Jichao Hong*. Hydrogen Safety for Hydrogen Energy Applications and Large-scale Commercialization. New Energy Exploitation and Application. 2022, 1(3).

[13] 洪吉超*, 张昕阳, 徐晓明, 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年2月2日接收录用.

[14] 周洋捷, 王震坡, 洪吉超*, 等. 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. 机械工程学报, 2022, 58(10): 112-135.

[15] 山彤欣, 王震坡, 洪吉超*, 等. 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. 机械工程学报, 2022, 58(14): 252-275.

[16] Zhen Zhang, Tiezhu Zhang, Hong Jichao*, et al. Double deep Q-network guided energy management strategy of a novel electric-hydraulic hybrid electric vehicle. Energy, Available online 1 February 2023, 126858. (IF= 8.857, JCR Q1, TOP)

[17] Jian Yang, Bo Liu, Tiezhu Zhang, Jichao Hong*, Hongxin Zhang*. 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)

[18] Jian Yang, Bo Liu, Tiezhu Zhang, Jichao Hong*, Hongxin Zhang*. Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation. Energy, 2022: 125877. (IF= 8.857, JCR Q1, TOP)

[19] 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)

[20] Renzheng Li, Hui Wang, Haifeng Dai, Jichao Hong*, et al. Accurate state of charge prediction for real-world battery systems using a novel dual-dropout-based neural network. Energy, 2022, 250: 123853. (IF=8.857, JCR Q1, TOP)

[21] Renzheng Li, Jichao Hong*, Huaqin Zhang, 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)

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

[23] 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)

[24] Zhang Z, Zhang T, Hong J, et al. Energy management strategy of a novel electric–hydraulic hybrid vehicle based on driving style recognition. Sustainable Energy & Fuels. Accepted 28th November 2022. DOI: 10.1039/d2se01620f. (IF=6.813, JCR Q1)

[25] Zhenpo Wang, Jichao Hong, Peng Liu and Lei Zhang. Voltage Fault Diagnosis and Prognosis of Battery Systems Based on Entropy and Z-score for Electric Vehicles. Applied Energy. 2017, 196: 89-302. DOI: 10.1016/j.apenergy.2016.12.143. (IF= 11.446, JCR Q1, TOP)

[26] 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, 2022. DOI: 10.1109/TTE.2022.3199255. (IF= 6.519, JCR Q1)

[27] Huaqin Zhang, Jichao Hong*, Zhezhe Wang and Guodong Wu. State-Partial Accurate Voltage Fault Prognosis for Lithium-Ion Batteries Based on Self-Attention Networks. Energies. 2022, 15, 8458. (IF= 3.252, JCR Q2)

[28] 张华钦，洪吉超*，陈德龙. 基于稀疏数据的电动汽车动力电池热故障预警. 汽车技术, 2022(11): 24-34.

[29] Yue Wang, Keqiang Li, Xiaohua Zeng*, Bolin Gao, Jichao Hong*. Energy Consumption Characteristics Based Driving Conditions Construction and Prediction for Hybrid Electric Buses Energy Management. Energy, 2022, 245: 123189. (IF= 8.857, JCR Q1, TOP)

[30] Peng Lin, Zhenpo Wang*, Peng Jin, Jichao Hong*. Novel Polarization Voltage Models: Accurate Voltage and State of Power Prediction. IEEE Access.2020, 8(1): 92039-92049. (IF= 4.098, JCR Q1)

[31] Haixu Yang, Jichao Hong*, Lingjun Wei, Xun Gong, and Xiaoming Xu. Collaborative Accurate Vehicle Positioning Based on Global Navigation Satellite System and Vehicle Network Communication. Electronics, 2022, 11(19): 3247. (IF= 2.690, JCR Q2)

[32] Yue Wang*, Keqiang Li, Xiaohua Zeng, Bolin Gao, Jichao Hong*. Investigation of novel intelligent energy management strategies for connected HEB considering global planning of fixed-route information. Energy, 2022: 125744. (IF= 8.857, JCR Q1, TOP)

[33] Zewen Meng, Jichao Hong*, Hongxin Zhang, Tiezhu Zhang, Xiaoming Xu, Qinghai Zhao, Jian Yang. Composite Braking Control Strategy of a Novel Electromechanical-hydraulic Coupling Driving Electric Vehicle. CSEE Journal of Power and Energy Systems. Accepted on 16 June, 2021, Early Access. Doi: 10.17775/CSEEJPES.2021.00480. (IF = 3.938, JCR Q1)

[34] Shanxiao Du, Jichao Hong*, Hongxin Zhang*, et al. Research on Cavitation of the Rotating-Sleeve Distributing Flow System Considering Different Cam Groove Profiles. Energies, 2021, 14(8): 2139. (IF= 3.252, JCR Q2)

[35] Peng Lin, Peng Jin, Jichao Hong* and Zhenpo Wang*. Battery voltage and state of power prediction based on an improved novel polarization voltage mode. Energy Reports, 2020, 6: 2299-2308. (IF= 3.595, JCR Q2)

[36] Zhen Zhang, Tiezhu Zhang, Hong Jichao*, Hongxin Zhang and Jian Yang. Energy Management Optimization of Master–Slave Hybrid Electric Vehicle under Rule‐Based Control Strategy. Energy Technology, 2022, 10(10): 2200630. (IF= 4.149 , JCR Q1)

[37] Jian Yang, Tiezhu Zhang, Hongxin Zhang*, Jichao Hong*, et al. Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle. Energies, 2020, 13(23):6279. (IF= 3.252, JCR Q2)

[38] Zehao Sun, Jichao Hong, Binbin Sun, et al. Hydrogen Engine Operation Strategies: Recent Progress, Industrialization Challenges, and Perspectives. International Journal of Hydrogen Energy. Accepted 26 September 2022. DOI: 10.1016/j.ijhydene.2022.09.256.

[39] Yang Zhao, Peng Liu, Zhenpo Wang, Lei Zhang, Jichao Hong. Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods. Applied Energy, 207 (2017): 354-362. DOI: 10.1016/j.apenergy.2017.05.139. (IF= 11.446, JCR Q1, TOP)

[40] Jizheng liu, Zhenpo Wang, Yankai Hou, Changhui Qu, Jichao Hong and Ni Lin. Data-driven energy management and velocity prediction for four-wheel-independent-driving electric vehicles. eTransportation. 2021, 9: 100119. (IF= 13.661, JCR Q1, TOP)

科研业绩：

近五年来发表SCI/EI论文70余篇（H指数16），其中Energy Conversion and Management、IEEE Transactions on Transportation Electrification、Applied Energy、Energy、 Applied Thermal Engineering、 Journal of Energy Storage、Journal of Cleaner Production、Control Engineering Practice、eTransportation、《机械工程学报》、《汽车工程》等顶级期刊收录30余篇，累计影响因子300以上，申请发明专利40余项，出版专著1部。

主持国家自然科学基金青年项目、中国博士后科学基金面上项目、佛山市科技创新产学研项目、汽车仿真与控制国家重点实验室开放基金项目、汽车零部件先进制造技术教育部重点实验室开放课题、载运工具与装备教育部重点实验室开放课题、金属轻量化成形制造北京市重点实验室开放基金、北京科技大学高水平人才引进项目和青年教师学科交叉等项目。针对新能源汽车动力电池安全性的“卡脖子”技术难题，构建了大数据驱动的动力电池安全风险分级评估体系，研发了多模型融合的动力电池系统协同安全控制策略，大大提升新能源动力与储能系统安全运维效率。相关研究的学术及工程应用价值得到本领域内国内外专家学者的关注与肯定，部分研究成果已经在新能源汽车国家监管平台应用多年，并服务于多家车企和百万辆级新能源车辆，产生了良好的经济效益和社会效益。

担任《Energy Reviews》首届青年编委、《工程科学学报》青年编委、IEEE-Spectrum中文版《科技纵览》编委、New Energy Exploitation and Application副主编，Electronics、Insight - Energy Science、Emergency Management Science and Technology客座编辑，40余个SCI期刊审稿专家；中国能源学会专家委员会委员、IEEE会员、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、海南省检测认证学会监事、国家信息中心“中经视频”特聘教授、广东省佛山市青年科学家协会理事、中国电工技术学会高级会员及青年工作委员会委员、Viser专家库（VE）机械工程专业委员会、氢能燃料电池百人会会员、中国汽车工程学会会员及青年委员会会员、中国机械工程学会、中国颗粒学会会员、中国公路学会会员。受邀2020中国汽车工程学会年会做特邀报告、担任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并做特邀报告、EVS 34 & ICEIV 2021（第34届世界电动汽车大会）分会场主席并做特邀报告、2023中国储能技术产教融合大会-动力与储能电池云控前沿-邀请报告。荣获江苏省第十四批科技镇长团荣誉团员、中国环境保护基金会/中国能源学会/北京能源与环境学会2022-2023年度能源与环境青年人才计划“能源与环境青年先锋”、 MDPI 2021优秀审稿人、《机械工程学报》2022优秀审稿专家，ICTIS 2021最佳审稿人奖、EVS 34 & ICEIV 2021优秀论文奖，作为指导教师带领学生荣获2021全国高校新能源汽车大数据创新创业大赛创新组二等奖和创业组三等奖，2022年度创新组一等奖和三等奖、第二届“长江杯”动力电池系统集成及管理技术挑战赛决赛优秀奖，荣获北京科技大学摇篮杯二等奖、SRTP项目校级一等奖、院级优秀“本科生导师”。

成果与荣誉：

中国产学研合作促进会产学研合作创新奖（个人奖），2022

中国发明协会发明创业奖创新奖一等奖，2022

能源与环境青年人才计划“能源与环境青年先锋”，2022

江苏省徐州市第十四批科技镇长团荣誉团员，2022

中国汽车工程学会优秀博士论文，2021

中国发明协会发明创业奖创新奖一等奖，2021

中国检验检测学会技术创新应用发展成果奖，2021

《机械工程学报》2022优秀审稿专家，2022

MDPI 2021 优秀审稿人奖，2021