Results 61 to 70 of about 3,956 (218)

Development of Deep Neural Network—Decision Tree Hybrid Control Strategy for Regenerative Braking in Electric Vehicles

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
A novel hybrid deep neural network–decision tree (DNN‐DT) control strategy is proposed to enhance regenerative braking in electric vehicles. The model is trained with optimal torque distributions generated via dynamic programming and makes real‐time control decisions based on seven vehicle and environmental inputs. Its performance was validated in a 14‐
Omer Ergun, Erkin Dincmen, Ilyas Istif
wiley   +1 more source

Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives

IET Power Electronics, Volume 18, Issue 1, January/December 2025.
Design and validation exploiting an adaptive predictive controller for a 48 V six‐phase permanent magnet synchronous motor with the goal of reducing power loss in the electric drives. For validation an hardware‐in‐the‐loop simulation, running the algorithm on dSPACE device, in order to guarantee the real‐time constraint for the controller itself ...
Pierpaolo Dini, Giovanni Basso, Sergio Saponara, Sajib Chakraborty, Omar Hegazy   +4 more
wiley   +1 more source

Power Flow Simulation and Thermal Performance Analysis of Electric Vehicles Under Standard Driving Cycles

Energies
This paper presents a simulation framework for evaluating power flow, energy efficiency, thermal behavior, and energy consumption in electric vehicles (EVs) under standardized driving conditions.
Jafar Masri, Mohammad Ismail, Abdulrahman Obaid   +2 more
doaj   +1 more source

Experimental Tests on a Spoke-Type Permanent Magnets Synchronous Machine for Light Electric Vehicle Application

Applied Sciences, 2022
In an attempt to limit the effects of global warming, virtually all car manufacturers have introduced in the last years Hybrid or full Electric Vehicles.
Stefan Breban, Marius Dranca, Mihai Chirca, Alexandru-Madalin Pacuraru, Petre-Dorel Teodosescu, Claudiu-Alexandru Oprea   +5 more
doaj   +1 more source

Digital Twin Technology for Renewable Energy, Smart Grids, Energy Storage and Vehicle‐to‐Grid Integration: Advancements, Applications, Key Players, Challenges and Future Perspectives in Modernising Sustainable Grids

IET Smart Grid, Volume 8, Issue 1, January/December 2025.
This paper introduces a comprehensive reviews of the digital twin (DT) role in transforming power grids to accommodate high levels of renewable energy sources (RESs), smart grid technologies, vehicle‐to‐grid (V2G) systems and energy storage solutions.
Ali Q. Al‐Shetwi, Ibrahem E. Atawi, Mohamed A. El‐Hameed, Ahmad Abuelrub   +3 more
wiley   +1 more source

Study on Discharge Characteristic Performance of New Energy Electric Vehicle Batteries in Teaching Experiments of Safety Simulation under Different Operating Conditions

Energies
High-voltage heat release from batteries can cause safety issues for electric vehicles. Relevant scientific research work is carried out in the laboratory. The battery safety of laboratory experiments should not be underestimated.
Meilin Gong, Jiatao Chen, Jianming Chen, Xiaohuan Zhao   +3 more
doaj   +1 more source

Optimization Approaches for Cost and Lifetime Improvements of Lithium-Ion Batteries in Electric Vehicle Powertrains

Energies, 2023
With the increasing adoption of electric vehicles (EVs), optimizing lithium-ion battery capacity is critical for overall powertrain performance. Recent studies have optimized battery capacity in isolation without considering interactions with other ...
Aissam Riad Meddour, Nassim Rizoug, Patrick Leserf, Christopher Vagg, Richard Burke, Cherif Larouci   +5 more
doaj   +1 more source

Effects of Bipolar Plate Flow Field Design on Liquid Water Generation and Performance of Proton Exchange Membrane Fuel Cell

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
A comprehensive mathematical model is constructed of the fuel stack in a proton exchange membrane fuel cell (PEMFC)‐based vehicle. The model comprises four main components: an air supply system, a hydrogen supply system, a cooling system, and a fuel cell stack.
Jenn-Kun Kuo, Satya Sekhar Bhogilla, Zhen-Wei Song, Yi-Hung Liu, Jiří Ryšavý, Jakub Čespiva, Huyen Thi Le, Mohammadmahdi Abdollahzadehsangroudi   +7 more
wiley   +1 more source

A Multi-Objective Framework for Optimal Sizing and Power Splitting in PEM Fuel Cell Hybrid Electric Vehicles

IEEE Access
Fuel Cell Hybrid Electric Vehicles (FCHEVs) are promising solutions for reducing emissions, extending driving range, and reducing reliance on lithium. However, achieving optimal performance requires careful consideration of fuel cell and storage system ...
Jamila Snoussi, Majdi Mansouri, Mouhamed Faouzi Mimouni, Ahmed Chiheb Ammari   +3 more
doaj   +1 more source

Advanced Parameter Identification in Electric Vehicles Lithium‐Ion Batteries With Marine Predators Algorithm‐Based Optimization

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
Accurate parameter identification of lithium‐ion (Li‐ion) battery models is critical for understanding battery behavior and optimizing performance in electric vehicle (EV) applications. Traditional methods often rely on manual adjustments or trial‐and‐error processes, leading to inefficiencies and suboptimal outcomes.
Houssam Eddine Ghadbane, Hegazy Rezk, Hesham Alhumade, Olubayo Babatunde   +3 more
wiley   +1 more source