A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model
Author:
Affiliation:
1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University Changsha China
2. College of Mechanical and Vehicle Engineering, Hunan University Changsha China
Funder
Foundation for Innovative Research Groups of the National Natural Science Foundation of China
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.5118
Reference33 articles.
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3. Nonlinear fractional‐order estimator with guaranteed robustness and stability for lithium‐ion batteries;Zou C;IEEE Trans Ind Electr,2018
4. Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective
5. Genetic identification and fisher identifiability analysis of the Doyle–Fuller–Newman model from experimental cycling of a LiFePO4 cell
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