洪吉超
车辆工程系
hongjichao@ustb.edu.cn
土木楼1110
- 学 位:博士
- 所在系所:车辆工程系
- 行政职务:
- 办公地点:土木楼1110
- 办公电话:
- 电子邮箱:hongjichao@ustb.edu.cn
- 科研方向:新能源汽车动力系统(锂电池+燃料电池)集成、大数据挖掘分析与智能安全控制。
社会/学术兼职:
IEEE会员、IEEE PES(中国区)电动汽车委员会动力电池分会理事
中国电工技术学会高级会员及青年工作委员会委员
中国机械工程学会会员
汽车工程学会会员
中国公路学会会员
北京市应急管理学会会员
Electronics客座编辑
Applied energy、Energy、IEEE Transactions on Industrial Electronics、IEEE Transactions on Transportation Electrification、IEEE Transactions on Vehicular Technology、IEEE Journal of Emerging and Selected Topics in Power Electronics、International Journal of Electrical Power & Energy Systems、IEEE ACCESS、International Journal of Energy Research、IET Intelligent Transport Systems、CESS Journal of Power and Energy Systems、机械工程学报等30余SCI/EI期刊审稿人。
教育经历:
2008.09-2012.06 青岛大学,大阳城官网,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:
2020.07-至今 集团,大阳城官网车辆工程系,鼎新博士后
2020.08-2021.06 集团,大阳城官网车辆工程系,特聘副教授
2021.06-至今 集团,大阳城官网车辆工程系,副教授
代表性论著:
[1] 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= 5.444, JCR Q1, TOP)
[2] 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= 9.297, JCR Q1, TOP)
[3] 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= 9.709, JCR Q1, TOP)
[4] 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= 8.426, JCR Q1, TOP)
[5] Jichao Hong, Zhenpo Wang*, Changhui Qu*, Fei Ma, Xiaoming Xu, Jue Yang, 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. 2021. Date of Publication: 11-Jul-2021. DOI: 10.1109/JESTPE.2021.3097827. (IF= 4.472, JCR Q1, TOP)
[6] 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. DOI: 10.1016/j.apenergy.2019.113648. (IF= 8.426, 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. DOI: 10.1016/j.energy.2019.116220. (IF= 5.537, JCR Q1, TOP)
[8] 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= 3.343, JCR Q1, TOP)
[9] Jichao Hong, Zhenpo Wang, Wen Chen, Leyi Wang, 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. DOI: 10.1016/j.est.2020.101459. (IF= 3.517, JCR Q2)
[10] 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= 2.707, JCR Q2)
[11] 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. DOI: 10.1016/j.energy.2021.121221. (IF= 6.082, JCR Q1, TOP)
[12] Y Wang, K Li, X Zeng*, B Gao, Jichao Hong*. Energy Consumption Characteristics Based Driving Conditions Construction and Prediction for Hybrid Electric Buses Energy Management. Energy, (IF= 6.082, JCR Q1, TOP)
[13] Meng Zewen, Hong Jichao*, Zhang Hongxin, Zhang Tiezhu, Xu Xiaoming, et al. Composite Braking Control Strategy of a Novel Electromechanical-hydraulic Coupling Driving Electric Vehicle. CSEE Journal of Power and Energy Systems. Accepted Date: 16 June, 2021. (IF = 3.938, JCR Q1)
[14] Lin Peng, Jin Peng, Hong Jichao* and Wang zhenpo*. 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)
[15] Excellent Paper Award. Fault Diagnosis of Real-scenario Battery Systems Based on the Modified Entropy Algorithms in Electric Vehicles. The 34th International Electric Vehicle Symposium & Exhibition (EVS 34); International Conference on Electric and Intelligent vehicles (ICEIV 2021), NANJING, CHINA, June25-28, 2021.
[16] Session Chair of Big Data for New Energy Vehicles and Safety: Challenges, Techniques and Applications. The 6th International Conference on Transportation Information and Safety (ICTIS 2021), WUHAN, CHINA, October 22-24, 2021.
[17] Session Chair of Dialogue Session: Vehicular System; Invited Speech of Lecture Session: Diagnosis and optimization system. The 34th International Electric Vehicle Symposium & Exhibition (EVS 34); International Conference on Electric and Intelligent vehicles (ICEIV 2021), NANJING, CHINA, June25-28, 2021.
科研业绩:
[1]. 国家自然科学基金青年项目,2021-2024,主持
[2]. 中国博士后科学基金面上项目2021-2023,主持
[3]. 佛山市科技创新产学研项目,2021-2023,主持
[4]. 汽车仿真与控制国家重点实验室开放基金项目2022-2024,主持
[5]. 载运工具与装备教育部重点实验室开放课题2021-2023,主持
[6]. 集团高水平人才引进项目2020-2024,主持
[7]. 作为主要技术骨干参与多项国家自然基金重点项目、面上项目、国家重点研发计划和北京市科委专项计划等项目研究。
获得荣誉:
中国发明协会发明创新奖一等奖,2021
中国汽车工程学会优秀博士论文,2021
ICTIS 2021最佳审稿人奖,2021
MDPI优秀审稿人,2021
EVS 34 & ICEIV 2021优秀论文奖,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(指导教师),2021
全国高校新能源汽车大数据创新创业大赛创业组三等奖(指导教师),2021
北京市优秀博士毕业生,2020
北京理工大学优秀博士论文,2020
博士研究生国家奖学金,2017
青岛大学优秀硕士学位论文,2015
硕士研究生国家奖学金,2014