A method for estimating the aging state of lithium‐ion batteries based on a multi‐linear integrated model
Author:
Affiliation:
1. School of Electrical Engineering, Weihai Innovation Research Institute Qingdao University Qingdao China
2. Xi'an Traffic Engineering Institute Xi'an China
3. School of Information Engineering Zhejiang University of Technology Hangzhou China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Hindawi Limited
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.8709
Reference39 articles.
1. A review on the key issues of the lithium ion battery degradation among the whole life cycle
2. Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review
3. A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
4. Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
5. Battery Lifetime Prognostics
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