[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review

GF Savari, MJ Sathik, LA Raman, A El-Shahat… - Ain Shams Engineering …, 2023 - Elsevier
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …

Design and analysis of an efficient photovoltaic energy-powered electric vehicle charging station using perturb and observe MPPT algorithm

M Awad, AM Ibrahim, ZM Alaas, A El-Shahat… - frontiers in energy …, 2022 - frontiersin.org
According to the current directive, we must rely on green energy for sustainable mobility.
One of the green transition's goals is to use renewable energy to charge electric vehicles …

Methods for temperature estimation and monitoring of permanent magnet: a technology review and future trends

L He, Y Feng, Y Zhang, B Tong - Journal of the Brazilian Society of …, 2024 - Springer
The permanent magnet is subject to high-temperature demagnetization under high-torque or
high-speed operating conditions. Accurate estimation of the temperature of the permanent …

Multivariate multi-step time series prediction of induction motor situation based on fused temporal-spatial features

C Chen, Y Yuan, W Sun, F Zhao - International Journal of Hydrogen Energy, 2024 - Elsevier
Induction motor temperature situation prediction provides a decision basis for preventive
maintenance in coal mining companies. However, multi-step prediction of induction motor …

Robust speed controller for PMSG wind system based on Harris Hawks optimization via wind speed estimation: a real case study

NAN Aldin, WSE Abdellatif, ZMS Elbarbary… - IEEE …, 2023 - ieeexplore.ieee.org
Modern wind power systems have recently tended to focus on achieving fast-tracking wind
speeds (WSs), high maximum power point tracking (MPPT) efficacy without mechanical …

Support vector machine parameters optimization for 500 kv long ohtl fault diagnosis

A Said, MH Saad, SM Eladl, ZMS Elbarbary… - IEEE …, 2023 - ieeexplore.ieee.org
Faults can seriously damage high-voltage (HV) power systems, particularly if they occur on
the long overhead transmission line (OHTL) that connects the nuclear power plant (NPP) to …

Enhanced remora optimization with deep learning model for intelligent PMSM drives temperature prediction in electric vehicles

A Latif, IM Mehedi, MT Vellingiri, RJ Meem… - Axioms, 2023 - mdpi.com
One of the widespread electric motors for electric vehicles (EVs) is permanent magnet
synchronous machine (PMSM) drives. It is because of the power density and high energy of …

Estimation of the residual useful life of EV batteries using advanced hybrid learning tools

SA Hussien, A BaQais, M Al-Gabalawy - Electrical Engineering, 2024 - Springer
Electric vehicles (EVs) have been heavily used to minimize the worldwide pollution. Battery
storage system is the most important and expensive system in these vehicles. An accurate …

Estimation of excitation current of a synchronous machine using machine learning methods

M Glučina, N Anđelić, I Lorencin, Z Car - Computers, 2022 - mdpi.com
A synchronous machine is an electro-mechanical converter consisting of a stator and a rotor.
The stator is the stationary part of a synchronous machine that is made of phase-shifted …

Temperature Prediction for Electric Vehicles using Machine Learning Algorithms

S Kishore, SK Bharti, P Anand… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of precise, efficient, and cost-effective temperature prediction algorithms to
maintain the ambient charging and operational environment of electric vehicles (EVs) has …