State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges-Reference-Cited by-同舟云学术

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State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges

Published:2024-09 Issue: Volume:369 Page:123542
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

S Vignesh^ORCID,Che Hang Seng^ORCID,Selvaraj Jeyraj,Tey Kok Soon,Lee Jia Woon^ORCID,Shareef Hussain,Errouissi Rachid

Publisher

Elsevier BV

Reference181 articles.

1. World energy outlook 2022;International Energy Agency,2022

2. Online state-of-health estimation for li-ion battery using partial charging segment based on support vector machine;Feng;IEEE Trans Veh Technol,2019

3. State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review;How;IEEE Access,2019

4. Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-ion battery state of charge estimation;Ali;Energies,2019

5. Evaluation of effects of additives in wound li-ion cells through high precision coulometry;Burns;J Electrochem Soc,2011

Cited by 3 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. SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion;Energy;2024-11

2. State of Health Estimations for Lithium-Ion Batteries Based on MSCNN;Energies;2024-08-23

3. State of Charge Estimation of Lithium‐Ion Batteries with Adaptive Square Root Central Difference Kalman Filter;Advanced Theory and Simulations;2024-08-22

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