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 …

Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues

MA Hannan, SB Wali, PJ Ker, MS Abd Rahman… - Journal of Energy …, 2021 - Elsevier
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 …

A brief history of zinc–air batteries: 140 years of epic adventures

JN Liu, CX Zhao, J Wang, D Ren, BQ Li… - Energy & Environmental …, 2022 - pubs.rsc.org
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 …

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 …

A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries

B Jiang, J Zhu, X Wang, X Wei, W Shang, H Dai - Applied Energy, 2022 - Elsevier
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
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

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 …

Physics-based battery SOC estimation methods: Recent advances and future perspectives

L Wu, Z Lyu, Z Huang, C Zhang, C Wei - Journal of Energy Chemistry, 2024 - Elsevier
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 …

[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
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 …

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 …

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 …