Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.7
2.3
Journals
WEVJ
Special Issues
Design, Modelling and Control Strategies for Hybrid and Electric Vehicles
share announcement

Special Issue "Design, Modelling and Control Strategies for Hybrid and Electric Vehicles"

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 January 2024 | Viewed by 2765

Special Issue Editors

Dr. Henrique De Carvalho Pinheiro

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy
Interests: vehicle dynamics; multibody dynamics; control systems; chassis design; EV modelling and simulation; zero-emission solutions; braking systems
Dr. Massimiliana Carello
E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy
Interests: electric and hybrid vehicles; aerodynamics; lightweight design; fuel cell vehicles; vehicle dynamics; chassis design

Special Issue Information

Dear Colleagues,

Electric Vehicles (EVs), Hybrid Electric Vehicles (HEVs), and Fuel Cell Electric Vehicles (FCEVs) are potential layouts to achieve the consolidated trend of electrification in the automotive sector. The design, modelling, and control strategies play a crucial role in optimizing the performance, efficiency, and reliability of these vehicles. This Special Issue of the World Journal of Electric Vehicles aims to explore the latest advancements in the field of EV, HEV, and FCEV design, modelling, and control, providing a platform for researchers to share their innovative ideas and findings.

This Special Issue welcomes original research papers, review articles, and case studies related to various aspects of EV, HEV, and FCEV design, modelling, and control strategies. Potential topics of interest include, but are not limited to:

  • Advanced powertrain architectures and configurations for EVs, HEVs, and FCEVs;
  • Optimal battery sizing, placement, and management strategies;
  • Modeling and simulation techniques for EV, HEV, and FCEV components and systems;
  • Control algorithms for improving energy efficiency and range of EVs and HEVs;
  • Control algorithms related to other vehicle objectives (handling, safety, thermal management);
  • Vehicle-to-grid (V2G) integration and smart charging strategies;
  • Thermal management and cooling strategies for e-powertrain and battery systems;
  • Lightweight and structural solutions for battery, e-powertrain, and vehicle design;
  • Safety and reliability aspects of EV systems;
  • Economic and environmental considerations of EV, HEV, and FCEV technologies;
  • Other innovative technologies on mobility related to electrification.

Authors are encouraged to present their research findings, innovative methodologies, and practical applications in the field of hybrid and electric vehicles. Submissions should adhere to the guidelines provided by the World Journal of Electric Vehicles.

We look forward to receiving high-quality contributions that will advance the understanding and development of design, modelling, and control strategies for hybrid and electric vehicles.

Dr. Henrique De Carvalho Pinheiro
Dr. Massimiliana Carello
Guest Editors

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. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1000 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
  • hybrid vehicles
  • fuel cells
  • control strategies
  • design and modelling
  • vehicle dynamics
  • batteries
  • E-powertrain
  • thermal management

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

24 pages, 6127 KiB  
Article
Multi-Mode Switching Control Strategy for IWM-EV Active Energy-Regenerative Suspension Based on Pavement Level Recognition
by
Zhigang Zhou
,
Zhichong Shi
and
Xinqing Ding
World Electr. Veh. J. 2023, 14(11), 317; https://doi.org/10.3390/wevj14110317 - 20 Nov 2023
Viewed by 433
Abstract
Aiming at the problems of poor overall vibration reduction and high energy consumption of in-wheel motor-driven electric vehicle (IWM-EV) active suspension on mixed pavement, a multi-mode switching control strategy based on pavement identification and particle swarm optimization is proposed. First, the whole vehicle [...] Read more.
Aiming at the problems of poor overall vibration reduction and high energy consumption of in-wheel motor-driven electric vehicle (IWM-EV) active suspension on mixed pavement, a multi-mode switching control strategy based on pavement identification and particle swarm optimization is proposed. First, the whole vehicle dynamic model containing active energy-regenerative suspension and the reference model was established, and the sliding mode controller and PID controller designed, respectively, to suppress the vertical vibration of the vehicle and the in-wheel motor. Second, a road grade recognition model based on the dynamic travel signal of the suspension and the road grade coefficient was established to identify the road grade, and then the dynamic performance and energy-feedback characteristics of suspension were optimized by particle swarm optimization. According to the results of pavement identification, the optimal solution of the suspension controller parameters under each working mode was divided and selected to realize the switch of the suspension working mode. The simulation results show that the control strategy can accurately identify the grade of road surface under the condition of mixed road surface, and the ride index of the optimized active energy-regenerative suspension is obviously improved, while some energy is recovered. Full article
(This article belongs to the Special Issue Design, Modelling and Control Strategies for Hybrid and Electric Vehicles)
►▼ Show Figures

Figure 1

18 pages, 1663 KiB  
Article
Cultivating Sustainable Supply Chain Practises in Electric Vehicle Manufacturing: A MCDM Approach to Assessing GSCM Performance
by
Torky Althaqafi
World Electr. Veh. J. 2023, 14(10), 290; https://doi.org/10.3390/wevj14100290 - 12 Oct 2023
Viewed by 887
Abstract
Sustainability emphasises the crucial need to incorporate environmentally conscious practises across the entire supply chain management process in the modern age. A great emphasis is placed on minimising environmental consequences, eliminating waste, conserving energy, and sourcing materials responsibly in the production, distribution, and [...] Read more.
Sustainability emphasises the crucial need to incorporate environmentally conscious practises across the entire supply chain management process in the modern age. A great emphasis is placed on minimising environmental consequences, eliminating waste, conserving energy, and sourcing materials responsibly in the production, distribution, and disposal of electric vehicles. Electric vehicle manufacturers must prioritise sustainability to ensure that their products contribute significantly to a brighter future while also meeting the ethical and environmental demands of consumers as well as regulatory bodies. Green supply chain management (GSCM) incorporates environmentally friendly practises to reduce environmental effects. This study incorporates fuzzy TOPSIS for analysing and rating GSCM practises, assisting decision-makers in prioritising sustainability in the supply chains of electric vehicle manufacturers. We develop a multi-criteria decision-making framework to evaluate GSCM criteria while accounting for inherent uncertainty. Fuzzy TOPSIS handles linguistic problems as well as ambiguity while providing a precise GSCM representation. Real-world case studies from various sectors demonstrate the applicability and benefits of our approach to finding improvement areas and expediting GSCM assessments. This research presents a systematic, quantitative way for evaluating GSCM practises, allowing supply chain alignment with sustainability goals. This promotes environmentally sustainable practises and increases the sustainability of supply chains for electric car manufacturing. Full article
(This article belongs to the Special Issue Design, Modelling and Control Strategies for Hybrid and Electric Vehicles)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop