Artificial Intelligence-based health diagnostic of Lithium-ion battery leveraging transient stage of constant current and constant voltage charging-Reference-Cited by-同舟云学术

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Artificial Intelligence-based health diagnostic of Lithium-ion battery leveraging transient stage of constant current and constant voltage charging

Published:2023-04 Issue: Volume:336 Page:120751
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ruan Haokai,Wei Zhongbao,Shang Wentao,Wang Xuechao,He Hongwen

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference50 articles.

1. Electric Vehicle Battery Cell Cycle Aging in Vehicle to Grid Operations: A Review;Lehtola;IEEE J Emerg Select Topics Power Electron,2021

2. Towards long lifetime battery: AI-based manufacturing and management;Liu;IEEE/CAA J Autom Sin,2022

3. Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement;Wei;J Power Sources,2021

4. A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation;Li;Appl Energy,2018

5. A mechanism identification model based state-of-health diagnosis of lithium-ion batteries for energy storage applications;Ma;J Clean Prod,2018

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3. Enhancing capacity estimation of retired electric vehicle lithium-ion batteries through transfer learning from electrochemical impedance spectroscopy;eTransportation;2024-12

4. Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks;Energy;2024-10

5. Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids;Energies;2024-09-08

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