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A review of battery energy storage systems and advanced battery management system for different applications: Challenges and recommendations
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 …
efficiently. The growing energy crisis has increased the emphasis on energy storage …
Applications of artificial neural network based battery management systems: A literature review
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …