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Teaching Staff

全体教师

姓 名:洪吉超

职 称:副教授

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,中国汽车工程学会会员、中国公路学会会员,Applied energy、IEEE Transactions on Industrial Electronics、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、CESS Journal of Power and Energy Systems等20余个国际期刊审稿人。

 

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,工程学院,博士联合培养

 

工作经历:

2020.07-至今  北京科技大学,机械工程学院车辆工程系,鼎新博士后

2020.08-至今  北京科技大学,机械工程学院车辆工程系,特聘副教授

 

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. Date of Publication: 11 May 2021. 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, 125814. DOI: 10.1016/j.jclepro.2021.125814. (IF= 7.246, JCR Q1, TOP)

[3] 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)

[4] 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= 8.426, JCR Q1, TOP)

[5] Jichao Hong, Zhenpo Wang, Tiezhu Zhang, Huaixian Yin, Hongxin Zhang, Wei Huo, Yi Zhang and Yuanyuan Li. 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)

[6] 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)

[7] Jichao Hong, Zhenpo Wang, Wen Chen, Leyi Wang and Changhui Qu. 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)

[8] 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)

[9] 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)

[10] 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)

 

成果与荣誉:

获得北京市优秀博士毕业生、硕士博士研究生国家奖学金、硕士博士优秀学位论文等荣誉。作为负责人主持中国博士后科学基金、中央高校基本科研业务费和佛山市科技创新专项各1项。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。