A review of battery energy storage systems and advanced battery management system for different applications: Challenges and recommendations

S Nyamathulla, C Dhanamjayulu - Journal of Energy Storage, 2024 - Elsevier
Energy storage systems are designed to capture and store energy for later utilization
efficiently. The growing energy crisis has increased the emphasis on energy storage …

Applications of artificial neural network based battery management systems: A literature review

M Kurucan, M Özbaltan, Z Yetgin, A Alkaya - Renewable and Sustainable …, 2024 - Elsevier
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R **ong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

A review of SOH prediction of Li-ion batteries based on data-driven algorithms

M Zhang, D Yang, J Du, H Sun, L Li, L Wang, K Wang - Energies, 2023 - mdpi.com
As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in
various fields due to their remarkable advantages. The high level of precision in estimating …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network

Z Cui, L Wang, Q Li, K Wang - International Journal of Energy …, 2022 - Wiley Online Library
Implementing carbon neutrality and emission peak policies requires a high‐level electric
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …

Review of battery state estimation methods for electric vehicles-Part I: SOC estimation

O Demirci, S Taskin, E Schaltz, BA Demirci - Journal of energy storage, 2024 - Elsevier
This study presents a comprehensive review of State of Charge (SOC) estimation methods
for Lithium-Ion (Li-Ion) batteries, with a specific focus on Electric Vehicles (EVs). The …

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Electric vehicle battery pack state of charge estimation using parallel artificial neural networks

A Manoharan, D Sooriamoorthy, KM Begam… - Journal of Energy …, 2023 - Elsevier
Lithium-ion battery (LiB) packs are commonly used for Electric Vehicle (EV) applications.
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …