Enabling early detection of lithium-ion battery degradation by linking electrochemical properties to equivalent circuit model parameters-Reference-Cited by-同舟云学术

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Enabling early detection of lithium-ion battery degradation by linking electrochemical properties to equivalent circuit model parameters

Published:2022-06 Issue: Volume:50 Page:104213
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Barzacchi Leonardo^ORCID,Lagnoni Marco^ORCID,Rienzo Roberto Di^ORCID,Bertei Antonio^ORCID,Baronti Federico

Funder

Horizon 2020 European Innovation Council Fast Track to Innovation

Università di Pisa

Horizon 2020

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference63 articles.

1. Bringing forward the development of battery cells for automotive applications: Perspective of R&D activities in China, Japan, the EU and the USA;Marinaro;J. Power Sources,2020

2. Battery management system: An overview of its application in the smart grid and electric vehicles;Rahimi-Eichi;IEEE Ind. Electron. Mag.,2013

3. Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook;Hossain Lipu;J. Cleaner Prod.,2021

4. Questions and Answers Relating to Lithium-Ion Battery Safety Issues;Huang;Cell Rep. Phys. Sci.,2021

5. A review on the key issues of the lithium ion battery degradation among the whole life cycle;Han;ETransportation,2019

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on the liquid cooling thermal management system of lithium-ion batteries;Applied Energy;2024-12

2. Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning;Journal of Energy Storage;2024-10

3. Estimation of overcharge-induced degradation state in lithium-ion cells using differential thermal voltammetry and distribution of relaxation times;Journal of Energy Storage;2024-09

4. An interpretable capacity prediction method for lithium-ion battery considering environmental interference;Scientific Reports;2024-08-17

5. Critical comparison of equivalent circuit and physics-based models for lithium-ion batteries: A graphite/lithium-iron-phosphate case study;Journal of Energy Storage;2024-07

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