A new method for determining SOH of lithium batteries using the real-part ratio of EIS specific frequency impedance-Reference-Cited by-同舟云学术

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A new method for determining SOH of lithium batteries using the real-part ratio of EIS specific frequency impedance

Published:2023-11 Issue: Volume:72 Page:108693
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Pang Zheyuan,Yang Kun,Song Zhengxiang,Niu Pengcheng,Chen Guangyang,Meng Jinhao

Funder

State Key Laboratory of Electrical Insulation and Power Equipment

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

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

Reference46 articles.

1. Battery health prediction under generalized conditions using a Gaussian process transition model;Richardson;J. Energy Storage,2019

2. A new lead-acid battery state-of-health evaluation method using electrochemical impedance spectroscopy for second life in rural electrification systems;Mohsin;J. Energy Storage,2022

3. A review of modeling, acquisition, and application of lithium-ion battery impedance for onboard battery management;Wang;ETransportation.,2021

4. Ultrasonic monitoring performance degradation of lithium ion battery;Kim;Microelectron. Reliab.,2020

5. An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application;Xiong;Appl. Energy,2018

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2. Energy storage battery state of health estimation based on singular value decomposition for noise reduction and improved LSTM neural network;AIP Advances;2024-09-01

3. Lithium-ion battery recycling—a review of the material supply and policy infrastructure;NPG Asia Materials;2024-08-30

4. The Effect of Calcium and Iron (III) Oxides on Lead Spent Plates: Spectroscopic, Voltametric, and EIS Investigations;Materials;2024-08-27

5. A Novel Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model;Processes;2024-08-26

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