State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network-Reference-Cited by-同舟云学术

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State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network

Published:2022-08 Issue: Volume:52 Page:104761
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Almaita Eyad,Alshkoor Saleh,Abdelsalam Emad,Almomani Fares

Publisher

Elsevier BV

Subject

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

Reference37 articles.

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2. Study on boil-off gas (BOG) minimization and recovery strategies from actual baseload LNG export terminal: towards sustainable LNG chains;Bouabidi;Energies,2021

3. Mobility-aware edge caching and computing in vehicle networks: a deep reinforcement learning;Hu;IEEE Trans. Veh. Technol.,2018

4. Energy storage systems role in supporting renewable resources: global overview;Lucchese,2019

5. Energy storage systems and their sizing techniques in power system—a review;Jamali,2015

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4. A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery;Journal of Power Sources;2024-01

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