[HTML][HTML] Lithium-ion battery thermal management for electric vehicles using phase change material: A review

M Mahmud, KS Rahman, M Rokonuzzaman… - Results in …, 2023 - Elsevier
Abstract Lithium-ion (Li-ion) batteries in electric vehicles (EVs) present a promising solution
to energy and environmental challenges. These batteries offer numerous advantages …

A Review of Expert Hybrid and Co-Estimation Techniques for SOH and RUL Estimation in Battery Management System with Electric Vehicle Application

T Alsuwian, S Ansari, MAAM Zainuri, A Ayob… - Expert Systems with …, 2024 - Elsevier
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …

[HTML][HTML] Optimal design of electric vehicle fast-charging station's structure using metaheuristic algorithms

P Antarasee, S Premrudeepreechacharn… - Sustainability, 2022 - mdpi.com
The fast development of electric vehicles (EVs) has resulted in several topics of research in
this area, such as the development of a charging pricing strategy, charging control, location …

Grid-connected lithium-ion battery energy storage system towards sustainable energy: A patent landscape analysis and technology updates

SB Wali, MA Hannan, PJ Ker, SA Rahman, KN Le… - Journal of Energy …, 2024 - Elsevier
Presently, as the world advances rapidly towards achieving net-zero emissions, lithium-ion
battery (LIB) energy storage systems (ESS) have emerged as a critical component in the …

[HTML][HTML] Intelligent SOX estimation for automotive battery management systems: state-of-the-art deep learning approaches, open issues, and future research …

MS Hossain Lipu, TF Karim, S Ansari, MS Miah… - Energies, 2022 - mdpi.com
Real-time battery SOX estimation including the state of charge (SOC), state of energy (SOE),
and state of health (SOH) is the crucial evaluation indicator to assess the performance of …

[HTML][HTML] Artificial intelligence approaches for advanced battery management system in electric vehicle applications: A statistical analysis towards future research …

MSH Lipu, MS Miah, T Jamal, T Rahman, S Ansari… - Vehicles, 2023 - mdpi.com
In order to reduce carbon emissions and address global environmental concerns, the
automobile industry has focused a great deal of attention on electric vehicles, or EVs …

A systematic study involving patent analysis and theoretical modeling of eco-friendly technologies for electric vehicles and power batteries to ease carbon emission …

A Zahoor, J Zhang, D Wu, JL Chen, B Nihed… - Energy Conversion and …, 2024 - Elsevier
Using natural and recycled materials in the manufacturing of electric vehicles (EVs) and
power batteries (PBs) offers several environmental, economic, and technical compelling …

[HTML][HTML] Survey on battery technologies and modeling methods for electric vehicles

M Iqbal, A Benmouna, M Becherif, S Mekhilef - Batteries, 2023 - mdpi.com
The systematic transition of conventional automobiles to their electrified counterparts is an
imperative step toward successful decarbonization. Crucial advances in battery storage …

An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries

C Wang, S Wang, G Zhang, P Takyi-Aninakwa… - Journal of Energy …, 2024 - Elsevier
With the global demand for large-scale energy storage strategies, lithium-ion batteries with
high energy densities have emerged as the primary energy storage systems. State-of …

[HTML][HTML] Optimal Electric Vehicle Battery Management Using Q-learning for Sustainability

P Suanpang, P Jamjuntr - Sustainability, 2024 - mdpi.com
This paper presents a comprehensive study on the optimization of electric vehicle (EV)
battery management using Q-learning, a powerful reinforcement learning technique. As the …