A novel remaining useful life prediction framework for lithium‐ion battery using grey model and particle filtering-Reference-Cited by-同舟云学术

A novel remaining useful life prediction framework for lithium‐ion battery using grey model and particle filtering

Published:2020-05-07 Issue:9 Volume:44 Page:7435-7449
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Chen Lin¹^ORCID,Wang Huimin¹,Chen Jing¹,An Jingjing¹,Ji Bing²,Lyu Zhiqiang³^ORCID,Cao Wenping⁴,Pan Haihong¹

Affiliation:

1. College of Mechanical Engineering & Guangxi Key Laboratory of Electrochemical Energy MaterialsCollaborative Innovation Center of Renewable Energy Materials (CICREM), Guangxi University Nanning China

2. Department of EngineeringUniversity of Leicester Leicester UK

3. State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology Dalian China

4. School of Engineering and Applied ScienceAston University Birmingham UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5464

Reference20 articles.

1. A review on battery management system from the modeling efforts to its multiapplication and integration

2. Li-ion battery performance and degradation in electric vehicles under different usage scenarios