State-of-health diagnosis of lithium-ion batteries using the fractional-order electrochemical impedance model

Author:

Laribi Slimane,Zohra Arama Fatima,Mammar Khaled,Aoun Nouar,Ghaitaoui Touhami,Hamouda Messaoud

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference71 articles.

1. Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives;Xiong;Renew. Sustain. Energy. Rev,2020

2. Aging performance characterization and state-of-health assessment of retired lithium-ion battery modules;Zhang;J. Energy. Storage,2021

3. Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis;Relan;IEEE. Trans. Control. Syst. Technol,2017

4. A review on electric vehicle battery modelling: From Lithium-ion toward Lithium-Sulphur;Fotouhi;Renew. Sustain. Energy. Rev,2016

5. A novel fractional order model based state-of-charge estimation method for lithium-ion battery;Mu;Appl. Energy,2017

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