Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.9
Journals
Designs
Special Issues
Design and Manufacture of Electric Vehicles
share announcement

Design and Manufacture of Electric Vehicles

A special issue of Designs (ISSN 2411-9660). This special issue belongs to the section "Vehicle Engineering Design".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 5070

Special Issue Editor

Dr. Quanqing Yu

E-Mail Website
Guest Editor
School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, China
Interests: battery reliability analysis; battery health management; battery state estimation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, entitled "Design and Manufacture of Electric Vehicles", aims to explore the cutting-edge advancements in the field of electric mobility. As the automotive industry transitions towards sustainable solutions, electric vehicles (EVs) have emerged as a pivotal technology. This Issue will delve into the intricate process of designing and producing EVs, covering various aspects from innovative materials and manufacturing techniques to streamlined production lines and the integration of advanced technologies. Topics of interest for this Special Issue include, but are not limited to, the following aspects:

  • Battery technology;
  • Chassis and structural design;
  • Powertrain and propulsion systems;
  • Manufacturing processes and automation;
  • Intelligent charging systems;
  • AC-DC converters.

It is hoped that this Special Issue can provide a comprehensive overview of the challenges and breakthroughs in designing and manufacturing electric vehicles. The aim is to foster innovation and promote sustainable practices in the electric mobility sector by bringing together leading researchers and industry experts.

Dr. Quanqing Yu
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. Designs 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 1600 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

  • battery reliability analysis
  • battery health management
  • battery state estimation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 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

Jump to: Other

20 pages, 1508 KiB  
Article
Battery Housing for Electric Vehicles, a Durability Assessment Review
by Moises Jimenez-Martinez, José Luis Valencia-Sánchez, Sergio G. Torres-Cedillo and Jacinto Cortés-Pérez
Designs 2024, 8(6), 113; https://doi.org/10.3390/designs8060113 - 31 Oct 2024
Viewed by 681
Abstract
Recent research emphasizes the growing use of advanced composite materials in modern transportation, highlighting their superior weight-to-strength ratio. These materials are increasingly replacing steel and aluminium in housings to enhance sustainability, improve efficiency, and reduce emissions. Considering these advancements, this article reviews recent [...] Read more.
Recent research emphasizes the growing use of advanced composite materials in modern transportation, highlighting their superior weight-to-strength ratio. These materials are increasingly replacing steel and aluminium in housings to enhance sustainability, improve efficiency, and reduce emissions. Considering these advancements, this article reviews recent studies on composite materials, focusing on fatigue life assessment models. These models, which include performance degradation, progressive damage, and S–N curve models, are essential for ensuring the reliability of composite materials. It is noted that the fatigue damage process in composite materials is complex, as failure can occur in the matrix, reinforcement, or transitions such as interlaminar and intralaminar delamination. Additionally, the article critically examines the integration of artificial intelligence techniques for predicting the fatigue life of composite materials, offering a comprehensive analysis of methods used to indicate the mechanical properties of battery shell composites. Incorporating neural networks into fatigue life analysis significantly enhances prediction reliability. However, the model’s accuracy depends heavily on the comprehensive data it includes, including material properties, loading conditions, and manufacturing processes, which help to reduce variability and ensure the precision of the predictions. This research underscores the importance of continued advancements and their significant scientific contributions to transportation sustainability, especially in the context of emerging artificial intelligence technologies. Full article
(This article belongs to the Special Issue Design and Manufacture of Electric Vehicles)
►▼ Show Figures

Figure 1

15 pages, 6362 KiB  
Article
Optimising Lead–Air Battery Performance through Innovative Open-Cell Foam Anodes
by Amel Hind Hassein-Bey, Abd-Elmouneïm Belhadj, Selma Toumi, Hichem Tahraoui, Mohammed Kebir, Abdeltif Amrane, Derradji Chebli, Abdallah Bouguettoucha, Meriem Zamouche and Jie Zhang
Designs 2024, 8(4), 61; https://doi.org/10.3390/designs8040061 - 21 Jun 2024
Viewed by 934
Abstract
In the dynamic realm of sustainable energy storage technologies, the global research landscape presents myriad scientific and economic challenges. The erratic growth of renewable energies alongside the phasing out of conventional power plants poses a significant hurdle in maintaining a stable balance between [...] Read more.
In the dynamic realm of sustainable energy storage technologies, the global research landscape presents myriad scientific and economic challenges. The erratic growth of renewable energies alongside the phasing out of conventional power plants poses a significant hurdle in maintaining a stable balance between energy supply and demand. Consequently, energy storage solutions play a pivotal role in mitigating substantial fluctuations in demand. Metal–air batteries, distinguished by their superior energy density and enhanced safety profile compared to other storage devices, emerge as promising solutions. Leveraging the well-established lead–acid battery technology, this study introduces a novel approach utilising open-cell foam manufactured through the Excess Salt Replication process as an anode for lead–air battery cells. This innovation not only conserves lead but also reduces battery weight. By employing a 25% antimonial lead alloy, open-cell foams with diameters ranging from 2 mm to 5 mm were fabricated for the antimonial lead–air battery. Preliminary findings suggest that the effective electrical conductivity of primary battery cells, measured experimentally, surpasses that of cells composed of the same dense, non-porous antimonial lead alloy. This improvement is primarily attributed to their extensive specific surface area, facilitating oxidation–reduction reactions. A correlation between effective electrical conductivity and cell diameter is established, indicating optimal conductivity achieved with a 5 mm cell diameter. These results underscore the feasibility of implementing such an electrical system. Full article
(This article belongs to the Special Issue Design and Manufacture of Electric Vehicles)
►▼ Show Figures

Figure 1

21 pages, 10990 KiB  
Article
Electromagnetic Interaction Model between an Electric Motor and a Magnetorheological Brake
by Sidorela Caushaj, Giovanni Imberti, Henrique de Carvalho Pinheiro and Massimiliana Carello
Designs 2024, 8(2), 25; https://doi.org/10.3390/designs8020025 - 14 Mar 2024
Cited by 1 | Viewed by 1911
Abstract
This article focuses on modelling and validating a groundbreaking magnetorheological braking system. Addressing shortcomings in traditional automotive friction brake systems, including response delays, wear, and added mass from auxiliary components, the study employs a novel brake design combining mechanical and electrical elements for [...] Read more.
This article focuses on modelling and validating a groundbreaking magnetorheological braking system. Addressing shortcomings in traditional automotive friction brake systems, including response delays, wear, and added mass from auxiliary components, the study employs a novel brake design combining mechanical and electrical elements for enhanced efficiency. Utilizing magnetorheological (MR) technology within a motor–brake system, the investigation explores the influence of external magnetic flux from the nearby motor on MR fluid movement, particularly under high-flux conditions. The evaluation of a high-magnetic-field mitigator is guided by simulated findings with the objective of resolving potential issues. An alternative method of resolving an interaction between an electric motor and a magnetorheological brake is presented. In addition, to test four configurations, multiple absorber materials are reviewed. Full article
(This article belongs to the Special Issue Design and Manufacture of Electric Vehicles)
►▼ Show Figures

Figure 1

Other

Jump to: Research

11 pages, 5288 KiB  
Technical Note
Topology Optimization of an Automotive Seatbelt Bracket Considering Fatigue
by Ali Abdelhafeez Hassan and Bikram Biswas
Designs 2024, 8(5), 99; https://doi.org/10.3390/designs8050099 - 3 Oct 2024
Viewed by 906
Abstract
Technological progress is leading to the incorporation of digital twinning and artificial intelligence, causing engineering design and scientific procedures to transition into an AI-driven age. Digital twinning and modeling have been increasingly included into engineering design optimization, particularly via processes like topology optimization [...] Read more.
Technological progress is leading to the incorporation of digital twinning and artificial intelligence, causing engineering design and scientific procedures to transition into an AI-driven age. Digital twinning and modeling have been increasingly included into engineering design optimization, particularly via processes like topology optimization and generative design, to provide modern design solutions efficiently. The integration of topology optimization with additive manufacturing is revolutionizing the design optimization process in the automotive industry, where there is a pressing demand for lightweight design and improving production efficiency. A design optimization methodology has been developed to optimize an Automotive Seatbelt Bracket subjected to dynamic load and fatigue. The innovative design is lighter and consolidates the entire assembly into a single body that can be manufactured using additive manufacturing. Full article
(This article belongs to the Special Issue Design and Manufacture of 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 1-4
Back to TopTop