山东大学教师主页段彬 Remaining Useful Life Prediction of LiFePO4 Battery Based on Particle Filter 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

Remaining Useful Life Prediction of LiFePO4 Battery Based on Particle Filter

Release Time:2024-02-29

Institution:

控制科学与工程学院
Journal:

Chinese Automation Congress (CAC)
Key Words:

LiFePO4 battery;remaining useful life;particle filter;Systematic Resampling
First Author:

耿飞
Document Code:

1395264728455974914
Page Number:

1149-1153
Number of Words:

3567
Translation or Not:

No
Date of Publication:

2017-01

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