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Analysis of Energy Consumption and Energy Efficiency of Electric Vehicles

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 5 August 2025 | Viewed by 1454

Special Issue Editor


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Guest Editor
Department of Automotive Engineering and Transport, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, 25-314 Kielce, Poland
Interests: electric vehicle; hybrid vehicle; driver behavior; life cycle cost; road traffic safety; vehicle testing
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Special Issue Information

Dear Colleagues,

The ongoing transition towards sustainable transportation has placed electric vehicles (EVs) at the forefront of automotive innovation. Understanding and optimizing the energy consumption and efficiency of these vehicles is crucial for maximizing their range, minimizing operating costs, and reducing their environmental impact. This involves addressing complex challenges related to battery technology, powertrain design, energy management strategies, and real-world driving conditions. The increasing adoption of EVs, driven by environmental concerns and advancements in battery technology, necessitates a comprehensive analysis of their energy performance across diverse operational scenarios. This analysis is essential for developing more efficient vehicles, improving charging infrastructure, and informing policy decisions related to sustainable transportation.

This Special Issue aims to present and disseminate the latest research and developments related to the analysis, modeling, optimization, and real-world assessment of energy consumption and energy efficiency in electric vehicles. It seeks to provide a platform for researchers, engineers, and industry professionals to share their insights and contribute to the advancement of EV technology.

Topics of interest for publication include, but are not limited to, the following:

  • Energy consumption modeling and simulation, including driving cycle analysis, vehicle dynamics, and environmental factors.
  • Real-world energy consumption analysis based on on-road testing and data collection.
  • Impact of driving behavior, traffic conditions, and weather on EV energy consumption.
  • Powertrain efficiency, including electric motor design, power electronics, and transmission systems.
  • Optimization of energy management strategies, including regenerative braking, thermal management, and auxiliary systems.
  • Innovative technologies for improving EV energy efficiency, such as lightweight materials, advanced control algorithms, and novel powertrain architectures.
  • Battery performance and management systems, including battery aging, thermal management, and state-of-charge/state-of-health estimation.
  • Charging infrastructure and its impact on energy efficiency.
  • Impact of smart grid integration and vehicle-to-grid (V2G) technologies on energy consumption.

Dr. Emilia Szumska
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electric vehicles
  • energy efficiency
  • energy management
  • regenerative braking
  • battery
  • powertrain optimization
  • vehicle-to-grid (V2G)

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Published Papers (1 paper)

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Review

22 pages, 2524 KiB  
Review
Regenerative Braking Systems in Electric Vehicles: A Comprehensive Review of Design, Control Strategies, and Efficiency Challenges
by Emilia M. Szumska
Energies 2025, 18(10), 2422; https://doi.org/10.3390/en18102422 - 8 May 2025
Viewed by 1261
Abstract
Regenerative braking systems (RBS enhance energy efficiency and range in electric vehicles (EVs) by recovering kinetic energy during braking for storage in batteries or alternative systems. This literature review examines RBS advancements from 2005 to 2024, focusing on system design, control strategies, energy [...] Read more.
Regenerative braking systems (RBS enhance energy efficiency and range in electric vehicles (EVs) by recovering kinetic energy during braking for storage in batteries or alternative systems. This literature review examines RBS advancements from 2005 to 2024, focusing on system design, control strategies, energy storage technologies, and the impact of external and kinematic factors on recovery efficiency. Based on a systematic analysis of 89 peer-reviewed articles from Scopus, it highlights a shift from basic PID controllers to advanced predictive algorithms like Model Predictive Control (MPC) and machine learning approaches. Technologies such as brake-by-wire and in-wheel motors improve safety and stability, with the latter excelling in all-wheel-drive setups over single-axle configurations. Hybrid Energy Storage Systems (HESS), combining batteries with supercapacitors or kinetic accumulators, address power peak demands, though cost and complexity limit scalability. Challenges include high computational requirements, component reliability in harsh conditions, and lack of standardized testing. Research gaps involve long-term degradation, autonomous vehicle integration, and driver behavior effects. Future work should explore cost-effective HESS, robust predictive controls for autonomous EVs, and standardized frameworks to enhance RBS performance and support sustainable transportation. Full article
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