SVM-assisted ANN model with principal component analysis based dimensionality reduction for enhancing state-of-charge estimation in LiFePO4 batteries-Reference-Cited by-同舟云学术

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SVM-assisted ANN model with principal component analysis based dimensionality reduction for enhancing state-of-charge estimation in LiFePO4 batteries

Published:2024-06 Issue: Volume:8 Page:100596
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Mehta Chaitali,Sant Amit V,Sharma Paawan

Publisher

Elsevier BV

Reference32 articles.

1. Grid-connected renewable energy sources: review of the recent integration requirements and control methods;Al-Shetwi;J. Clean. Prod.,2020

2. Contribution management of lead-acid battery, Li-ion battery, and supercapacitor to handle different functions in EVs;Farjah;Int. Trans. Electr. Energy Syst.,2020

3. Overview of current development in electrical energy storage technologies and the application potential in power system operation;Luo;Appl. Energy,2015

4. An open circuit voltage model fusion method for state of charge estimation of lithium-ion batteries;Yu;Energies,2021

5. Open circuit voltage and state of charge online estimation for lithium ion batteries;Xiong,2017

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