北京科技大学主页平台管理系统洪吉超--中文主页-- 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)

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个人信息

洪吉超David Hong

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

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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)

发布时间：2022-04-05 点击次数：

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上一条：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)

下一条：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)