山东大学教师主页段彬 Capacity Prediction and Remaining Useful Life Diagnosis of Lithium-ion Batteries Using CNN激LSTM Hybrid Neural Network Home

段彬

Professor

Visit:

Name (Pinyin):

Duan Bin
Date of Employment:

2010-07-16
School/Department:

控制科学与工程学院
Education Level:

With Certificate of Graduation for Doctorate Study
Business Address:

山东省济南市历下区经十路17923号山东大学千佛山校区
Gender:

Male
Degree:

Doctor
Title:

Professor
Status:

Employed
Academic Titles:

IEEE PES中国区储能系统与装备技术分委会常务理事、动力电池技术分委会常务理事
Alma Mater:

山东大学
College:

School of Control Science and Engineering
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Discipline:

Control Theory and Control Engineering；

Power Electronics and Power Drives

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Paper Publications

Capacity Prediction and Remaining Useful Life Diagnosis of Lithium-ion Batteries Using CNN激LSTM Hybrid Neural Network

Release Time:2024-02-29

Institution:

控制科学与工程学院
Journal:

2021 China Automation Congress, CAC 2021
First Author:

Zhao, Guangcai
Document Code:

1601080866634993666
Page Number:

2179-2183
Number of Words:

3420
Translation or Not:

No
Date of Publication:

2022-11

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