Grid Integration of Renewable Energy Sources and Electric Vehicles

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 464

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

The global energy landscape is undergoing rapid transformation and change, driving the current sources of energy for replacing conventional sources under an urgent need for sustainable, low-carbon emission, more efficient, and reliable renewable energy source solutions. In this context, the integration of the renewable energy source into the existing grids presents both significant challenges and exciting opportunities. Furthermore, based on the huge polluting emissions from the transportation systems, the widespread adoption of electric vehicles (EVs) can reshape the integration of renewable energy sources in meeting the aforementioned needs of the future energy sources.

This Special Issue on “Grid Integration of Renewable Energy Sources and Electric Vehicles” invites contributions that explore the technical, theoretical, operational, and industrial aspects of this transformative transition. We are particularly interested in research that explores, but is not limited to, the following key themes:

  • Grid integration of renewable energy sources topologies.
  • Grid integration of electric vehicles.
  • Energy management related to grid-tied renewable energy systems.
  • Cutting-edge control techniques related to grid-tied renewable energy systems and electrical vehicles.
  • Advance power conversion applied to grid-tied renewable energy systems and electrical vehicles.
  • Industrial applications and case studies.
  • Grid forming and grid following topologies.
  • Interoperability and standards.
  • Cyber-physical systems and security.

Prof. Dr. Kouzou Abdellah
Guest Editor

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Keywords

  • grid-tied renewable energy sources
  • electrical vehicles
  • advance control techniques
  • gird forming
  • grid following
  • energy management systems

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Published Papers (1 paper)

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Research

20 pages, 3640 KiB  
Article
Design and Optimization of an Electric Vehicle Powertrain Based on an Electromechanical Efficiency Analysis
by Baoyu Zhou, Zhejun Li, Haichang Wang, Yunxiang Cui, Jie Hu and Feng Jiang
Processes 2025, 13(6), 1698; https://doi.org/10.3390/pr13061698 - 29 May 2025
Viewed by 321
Abstract
Integrating the electric motor with a multi-speed transmission is an effective way to improve the efficiency and performance of battery electric vehicles (BEVs). This paper innovatively proposes a design method for matching a single-motor and dual-speed dual-clutch transmission (2-Speed Wet DCT) powertrain system [...] Read more.
Integrating the electric motor with a multi-speed transmission is an effective way to improve the efficiency and performance of battery electric vehicles (BEVs). This paper innovatively proposes a design method for matching a single-motor and dual-speed dual-clutch transmission (2-Speed Wet DCT) powertrain system and constructs a variable speed efficiency model (VSEM) and constant speed efficiency model (CSEM) for the inverter, motor, and transmission. Research shows that the design parameters of the motor and transmission significantly affect the optimal powertrain system. This study uses an enhanced NSGA-II multi-objective genetic algorithm to optimize the driving performance of energy efficiency and powertrain cost under two different acceleration times (10 s and 12 s), with the key parameters of the motor and transmission as optimization variables and dynamic indicators as constraints, and compares VSEM and CSEM. The optimization results indicate that VSEM have better energy-saving effects than CSEM, with the energy consumption reduced by 3.7% and 3.3% under the two driving performances, respectively. The Pareto frontier further confirms that, for multi-speed transmission systems in electric vehicles, matching a high-power, high-torque motor with a smaller transmission ratio powertrain can achieve higher energy efficiency and thus longer driving range. Additionally, this study quantifies the correlation between energy efficiency and powertrain cost using grey relational analysis (GRA), with a result of 0.77431. Full article
(This article belongs to the Special Issue Grid Integration of Renewable Energy Sources and Electric Vehicles)
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