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个人信息Personal Information
教师英文名称：David Hong
职称：副教授
硕士生导师
毕业院校：北京理工大学
学科：车辆工程
学历：博士研究生毕业
学位：博士
所在单位：机械工程学院
电子邮箱：
办公地点：土环楼1110
- 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..
- 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..
- 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..
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).