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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 …
Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues
Due to urbanization and the rapid growth of population, carbon emission is increasing,
which leads to climate change and global warming. With an increased level of fossil fuel …
which leads to climate change and global warming. With an increased level of fossil fuel …
A brief history of zinc–air batteries: 140 years of epic adventures
Aqueous zinc–air batteries constitute cutting-edge technology toward the next-generation
sustainable energy storage. A retrospective of its general history can help to understand the …
sustainable energy storage. A retrospective of its general history can help to understand the …
SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
J Chen, Y Zhang, J Wu, W Cheng, Q Zhu - Energy, 2023 - Elsevier
The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …
network (RNN) has been a popular research due to its suitability for time series data …
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …
battery management technologies. As an essential parameter, battery impedance contains …
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 …
Physics-based battery SOC estimation methods: Recent advances and future perspectives
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …
battery management system (BMS), which has great significance towards safe operation of …
[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as 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 …
A review of battery thermal management systems about heat pipe and phase change materials
Z Yu, J Zhang, W Pan - Journal of Energy Storage, 2023 - Elsevier
The electric vehicle industry is becoming an increasingly important part of the automotive
industry, and the high operating temperature requirements of the batteries at the heart of …
industry, and the high operating temperature requirements of the batteries at the heart of …