Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning-Reference-Cited by-同舟云学术

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Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning

Published:2024-10 Issue: Volume:99 Page:113257
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Nicodemo Niccolò^ORCID,Di Rienzo Roberto^ORCID,Lagnoni Marco^ORCID,Bertei Antonio^ORCID,Baronti Federico^ORCID

Publisher

Elsevier BV

Reference70 articles.

1. The Li-Ion battery: 25 years of exciting and enriching experiences;Tarascon;Electrochem. Soc. Interface,2016

2. A review on electric vehicles: Technologies and challenges;Sanguesa;Smart Cities,2021

3. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems;Wang;Renew. Sustain. Energy Rev.,2020

4. A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles;Wang;Energy Rep.,2021

5. Battery Management Systems: Battery modeling;Plett,2015

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