MSCC-DRL: Multi-Stage constant current based on deep reinforcement learning for fast charging of lithium ion battery

H El Ouazzani, I El Hassani, N Barka… - Journal of Energy Storage, 2024 - Elsevier
The growing electric vehicle market has made extreme fast charging (XFC) a critical
challenge for the lithium-ion battery community. With a goal of achieving a 15-minute …

Optimizing EV Battery Management: Advanced Hybrid Reinforcement Learning Models for Efficient Charging and Discharging

S Yalçın, MS Herdem - Energies, 2024 - mdpi.com
This paper investigates the application of hybrid reinforcement learning (RL) models to
optimize lithium-ion batteries' charging and discharging processes in electric vehicles (EVs) …

Robust State of Charge Estimation and Simulation of Lithium-Ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm

S El Fallah, J Kharbach, A Rezzouk… - … Conference on Artificial …, 2023 - Springer
The estimation of the state of charge (SoC) of lithium-ion batteries is crucial for battery
management systems. SoC is one of the most critical parameters that must be determined in …

Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review

H Elouazzani, I Elhassani, T Masrour - International Conference on …, 2023 - Springer
Due to climate change and increasing global energy demands, lithium-ion batteries (LIBs)
have recently gained increasing interest, particularly in electric vehicle applications (EV) and …

Robust State of Charge Estimation and Simulation of Lithium-Ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm

MO Jamil - Artificial Intelligence and Industrial Applications …, 2023 - books.google.com
The estimation of the state of charge (SoC) of lithiumion batteries is crucial for battery
management systems. SoC is one of the most critical parameters that must be determined in …