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Future Perspectives of Safety and Reliability Assessment for Electric-Powered Vehicles

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10111

Special Issue Editors


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Guest Editor
MOBI Research Group, Department ETEC, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
Interests: renewable energies; reliability and safety; energy storage/batteries; electric vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the last few years using the EVs have been taken into consideration in all part of the worlds. Moreover, at the beginning of 2020, the leading carmakers in all parts of Europe have been involved in the E-Mobility markets. This event promises to create a competitive market and large investments in the field of the electric transport system around the world for these companies. As a result, with the increase in various sales market products, safety and reliability challenges will show their new dimensions. The new challenges have emerged in the automotive industry, including marketing, energy management, energy storage systems (battery and fuel cells), and charging/discharging management.

The concept of the safety and reliability of Electric Vehicles’ (EVs’) components is considered a significant issue. In general, reliability assessment can be directly influenced by three main areas in the EV industry, i: EV manufacturers, ii: EV seller, and iii: EV customers. Additionally, the battery system, power electronic converter, and electric motors are knowing as main components of the E-power tarin of an EV that investigates reliability and safety in the mentioned components play a key role in the future perspectives of safety reliability assessment of  EVs. The essential issues regarding the reliability assessment of EVs which need to be taken into consideration are how do the power components operate in EV, identifying failures in EV’s components, inference of the failure sequences, introducing a model to illustrate the failures, and selecting a method to evaluate the reliability of EVs.

In this Special Issue, we are calling for original contributions that cover the emerging challenges in safety and reliability evaluations for electric-powered vehicle studies. This includes problem descriptions, application of new methodologies in safety and reliability enhancement, uncertainty/sensitivity calculations, case studies, and enhancement technologies.

Prof. Ahmed F. Zobaa
Prof. Shady H.E. Abdel Aleem
Dr. Foad H. Gandoman
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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 (EVs) 
  • Safety and reliability assessment 
  • EVs’ components performance 
  • Power quality 
  • Control strategies 
  • Lifetime applications 
  • Safety tests 
  • Safety standardization 
  • Quantitative and quality assessment 
  • EVs faults analysis

Published Papers (3 papers)

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Research

20 pages, 1279 KiB  
Article
Benefits or Risks: What Influences Novice Drivers Regarding Adopting Smart Cars?
by Areej Ahmad Alshaafee, Noorminshah A. Iahad and Mohammed A. Al-Sharafi
Sustainability 2021, 13(21), 11916; https://doi.org/10.3390/su132111916 - 28 Oct 2021
Cited by 8 | Viewed by 1954
Abstract
Level 4 autonomous vehicles (AVs) are smart vehicles that can move between two different points without any human interference. In 2018, the Saudi Arabian ban on female drivers was finally lifted, resulting in a large number of novice women drivers of different ages. [...] Read more.
Level 4 autonomous vehicles (AVs) are smart vehicles that can move between two different points without any human interference. In 2018, the Saudi Arabian ban on female drivers was finally lifted, resulting in a large number of novice women drivers of different ages. The Kingdom might therefore be considered a risky place to drive, but AVs would help novices to reduce their fear of driving and reduce accidents. Previous studies focused narrowly on those who already had sufficient driving experience and held a valid driving license, but there were no studies on the adoption of smart cars by novice drivers. Based on a literature search, no studies had used a net valence model (NVM) for the adoption of AVs to understand their benefits/risks. Therefore, this study proposed an adoption model for AVs using an NVM to identify the benefit and risk factors that have an impact on beginner drivers’ adoption of autonomous vehicles. A survey method was applied using the purposive sampling technique. Data were collected from 1400 female Saudi novice drivers who had experience with driving AVs. Data analysis was performed using Smart PLS Version 3. The results showed that individuals tended to ignore potential risks and focus instead on the potential benefits of using AVs. Performance expectancy, enjoyment, and effort expectancy were found to be positively related to the perceived advantages. On the other hand, the perceived risk as a construct did not have an impact on beginner drivers’ adoption of autonomous vehicles. Therefore, the major theoretical contribution of this study was the formation of a new NVM model by incorporating three more constructs, which were social influence, personal innovativeness, and alternatives. Finally, the enhanced NVM model could assist AV developers in identifying the expected benefits and drawbacks of AV adoption. Full article
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24 pages, 15798 KiB  
Article
Reliability Evaluation of Lithium-Ion Batteries for E-Mobility Applications from Practical and Technical Perspectives: A Case Study
by Foad H. Gandoman, Emad M. Ahmed, Ziad M. Ali, Maitane Berecibar, Ahmed F. Zobaa and Shady H. E. Abdel Aleem
Sustainability 2021, 13(21), 11688; https://doi.org/10.3390/su132111688 - 22 Oct 2021
Cited by 21 | Viewed by 3895
Abstract
Evaluation of the reliability of the components of electric vehicles (EVs) has been studied by international research centers, industry, and original equipment manufacturers over the last few years. Li-ion batteries are the main sensitive component of an EV’s E-power train. In other words, [...] Read more.
Evaluation of the reliability of the components of electric vehicles (EVs) has been studied by international research centers, industry, and original equipment manufacturers over the last few years. Li-ion batteries are the main sensitive component of an EV’s E-power train. In other words, the Li-ion batteries for electromobility applications are one of the main components of an EV, which should be reliable and safe over the operational lifetime of the EV. Thus, investigating how to assess the reliability of the Li-ion battery has been a highly recommended task in most European projects. Moreover, with the increase in the number of new EVs made by European car companies, there has been a competition for market acquisition by these companies to win over customers and gain more market share. This article presents a comprehensive overview of the evaluation of the reliability of Li-ion batteries from practical and technical perspectives. Moreover, a case study for assessing reliability from practical and technical perspectives has been investigated. Full article
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20 pages, 14176 KiB  
Article
Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy
by Naoui Mohamed, Flah Aymen, Ziad M. Ali, Ahmed F. Zobaa and Shady H. E. Abdel Aleem
Sustainability 2021, 13(13), 7351; https://doi.org/10.3390/su13137351 - 30 Jun 2021
Cited by 29 | Viewed by 3282
Abstract
This paper presents a straightforward power management algorithm that supervises the contribution of more than one energy source for charging a vehicle, even if the car is in motion. The system is composed of a wireless charging system, photovoltaic (PV) generator, fuel cell [...] Read more.
This paper presents a straightforward power management algorithm that supervises the contribution of more than one energy source for charging a vehicle, even if the car is in motion. The system is composed of a wireless charging system, photovoltaic (PV) generator, fuel cell (FC), and a battery system. It also contains a group of power converters associated with each energy resource to make the necessary adaptation between the input and output electrical signals. The boost converter relates to the PV/FC, and the boost–buck converter is connected with the battery pack. In this work, the wireless charging, FC, and PV systems are connected in parallel via a DC/DC converter for feeding the battery bank when the given energy is in excess. Therefore, for each of these elements, the mathematical model is formulated, then the corresponding power management loop is built, which presents the significant contribution of this paper. The efficient power management methodology proposed in this work was verified on Matlab/Simulink platforms. The battery state of charge and the hydrogen consumption obtained results were compared to show the effectiveness of this multi-source system. Full article
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