State of temperature detection of Li-ion batteries by intelligent gray box model-Reference-Cited by-同舟云学术

State of temperature detection of Li-ion batteries by intelligent gray box model

Published:2023-11 Issue: Volume:585 Page:233624
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Vaidya Sudnya^ORCID,Depernet Daniel,Laghrouche Salah,Chrenko Daniela

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. Electrochemical impedance spectroscopy for lithium-ion cells: test equipment and procedures for aging and fast characterization in time and frequency domain;Lohmann;J. Power Sources,2015

2. Rapid impedance spectrum measurements for state-of-health assessment of energy storage devices;Christophersen;SAE Int. J. Passeng. Cars - Electron. Electr. Syst,2012

3. Combined state of charge and state of health estimation over lithium-ion battery cell cycle lifespan for electric vehicles;Yuan;J. Power Sources,2015

4. Real-time state of charge estimation for each cell of the lithium battery pack using neural networks;Park;Appl. Sci.,2020

5. Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation;Liebhart;J. Power Sources,2020

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