Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries-Reference-Cited by-同舟云学术

Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries

Published:2024-04-25 Issue: Volume: Page:1-5
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Container-title:2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)
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Author:

Fallah Saad El¹,Kharbach Jaouad²,Vanagas Jonas³,Vilkelytė Živile³,Tolvaišienė Sonata³,Ikmel Ghita⁴,Redouani Assia⁴,Lagnaoui Saloua⁵,Boumais Khaoula⁶,Jamil Mohammed Ouazzani¹

Affiliation:

1. Systems and Sustainable Environment Laboratory, Faculty of Engineering Sciences (FSI), Private University of Fez (UPF),Fez,Morocco

2. Université Sidi Mohamed Ben Abdellah, Faculté des Sciences Dhar El Mahraz, Laboratoire de Physique de Solide,Fez,Morocco,30003

3. Vilnius TECH,Dept. Electrical Engineering,Vilnius,Lithuania

4. Signals Systems Components Laboratory (LSSC), Faculty of Science and Technology, Sidi Mohamed Ben Abdellah University Fez,Morocco

5. Laboratory Engineering, Systems and Applications ENSA, Sidi Mohamed Ben Abdellah University,Fez,Morocco

6. Artificial Intelligence, Data Science and Emerging Systems (IASSE) ENSA, Sidi Mohamed Ben Abdellah University,Fez,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10542546/10542531/10542616.pdf?arnumber=10542616

Reference27 articles.

1. State of charge estimation of an electric vehicle’s battery using Deep Neural Networks: Simulation and experimental results

2. A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

3. A new neural network model for the state-of-charge estimation in the battery degradation process

4. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

5. State of Charge Estimation of Lithium-Ion Batteries Using Extended Kalman Filter and Multi-layer Perceptron Neural Network