[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …
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
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 …
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 …
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 …
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
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 …
speeds (WSs), high maximum power point tracking (MPPT) efficacy without mechanical …
Support vector machine parameters optimization for 500 kv long ohtl fault diagnosis
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 …
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
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 …
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
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 …
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
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 …
The stator is the stationary part of a synchronous machine that is made of phase-shifted …
Statistical analysis of the interdependence between the technical and functional parameters of electric vehicles in the European market
The vehicle market at the European level (and also elsewhere) has registered a high
dynamic for the adoption of electric vehicles as the future means of transport. Government …
dynamic for the adoption of electric vehicles as the future means of transport. Government …