Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data-Reference-Cited by-同舟云学术

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Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data

Published:2023-07 Issue: Volume:17 Page:100243
ISSN:2590-1168
Container-title:eTransportation
language:en
Short-container-title:eTransportation

Author:

Kim Seongyoon,Jung Hangsoon,Lee Minho,Choi Yun Young,Choi Jung-Il^ORCID

Funder

National Supercomputing Center, Korea Institute of Science and Technology Information

Ministry of Trade, Industry and Energy

National IT Industry Promotion Agency

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Reference39 articles.

1. Building better batteries;Armand;Nature,2008

2. Electrical energy storage for the grid: a battery of choices;Dunn;Science,2011

3. Parameter identification and identifiability analysis of lithium-ion batteries;Choi;Energy Sci Eng,2022

4. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications;Barré;J Power Sources,2013

5. Degradation diagnostics for lithium ion cells;Birkl;J Power Sources,2017

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3. The timescale identification and quantification of complicated kinetic processes in lithium-ion batteries based on micro-reference electrodes;Journal of Power Sources;2024-09

4. Method for Evaluating Degradation of Battery Capacity Based on Partial Charging Segments for Multi-Type Batteries;Batteries;2024-05-30

5. Bilevel-optimized continual learning for predicting capacity degradation of lithium-ion batteries;Journal of Energy Storage;2024-05

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