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张永志
个人信息Personal Information
教授
博士生导师
硕士生导师
教师英文名称：Yongzhi Zhang
教师拼音名称：zhangyongzhi
入职时间：2021-03-10
所在单位：机械与运载工程学院
学历：研究生(博士)毕业
办公地点：重庆大学A区理科楼5楼
性别：男
联系方式：yongzhi@cqu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：北京理工大学
学科：车辆工程
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张永志,HongWen He,Rui Xiong.Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries:IEEE Transactions on Vehicular Technology,2018
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张永志,HongWen He,Rui Xiong.Lithium-ion battery pack state of charge and state of energy estimation algorithms using a hardware-in-the-loop validation:IEEE Transactions on Power Electronics,2017
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张永志,HongWen He,Rui Xiong.Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation:IEEE Transactions on Industrial Electronics,2019
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Rui Xiong,Hongwen He.A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries:IEEE Transactions on Industrial Electronics,2018
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张永志,HongWen He,Rui Xiong.Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries:Journal of Cleaner Production,2019
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张永志,HongWen He,Rui Xiong.Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries:eTransportation,2019
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张永志,Hongwen He,Rui Xiong.State of charge-dependent aging mechanisms in graphite/Li(NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction:Applied Energy,2019
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HongWen He,张永志,Rui Xiong.A novel Gaussian model based battery state estimation approach: State-of-Energy:Applied Energy,2015
