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The Contribution of Electric Vehicles to Realization of Dual Carbon...
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The Contribution of Electric Vehicles to Realization of Dual Carbon Goal

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

Deadline for manuscript submissions: 1 October 2024 | Viewed by 6434

Special Issue Editors

Dr. Yongxing Wang

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Guest Editor
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
Interests: intelligent transportation systems; transportation electrification; transportation modeling; traffic data analysis
Dr. Chaoru Lu

E-Mail Website
Guest Editor
Department of Built Environment, Oslo Metropolitan University, Oslo, Norway
Interests: intelligent transport system; transportation electrification; traffic flow theory; autonomous vehicle
Special Issues, Collections and Topics in MDPI journals
Dr. Dongfan Xie

E-Mail Website
Guest Editor
School of Transportation, Beijing Jiaotong University, Beijing, China
Interests: traffic flow theory; microscopic simulation for inhomogeneous traffic flow; microscopic modeling of pedestrian flow; intelligent transportation system; data-driven traffic system modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transportation sector is the main source of environmental pollution in cities, fueling the energy crisis. Governmental authorities and the scientific community are devoted to looking for alternatives to conventional fuel-powered vehicles and supporting the realization of the dual-carbon goal, encompassing both carbon peaking and carbon neutrality goals.  

Electric Vehicles (EVs) are regarded as an energy-saving and sustainable transportation mode, due to their promising energy efficiency and sustainability. However, EVs often have a shorter driving range compared to fuel-powered vehicles. Insufficient charging infrastructure and the time-consuming charging process also bring challenges to the widespread use of EVs.

In light of the issues described above, research must be conducted to provide guidance and decision support promoting the use of EVs for private travel, public transport and freight distribution in urban transportation. 

This Special Issue is interested in papers detailing the latest advances in EVs and the methods used to achieve them. Topics of interest include, but are not limited to, the following:

  • Optimization of route choices and charging strategies of EVs;
  • Operation management of EVs in logistics and public transit systems;
  • Charging infrastructure deployment for EV-based transportation system;
  • Accurate estimation of driving range and battery status for EVs;
  • Life-cycle cost assessment for EV-based transportation systems;
  • Advanced charging technology for EVs;
  • Application of big data in EV operation. 

Dr. Yongxing Wang
Dr. Chaoru Lu
Dr. Dongfan Xie
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 1400 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
  • route optimization
  • charging strategies
  • operation management
  • charger deployment
  • estimation models
  • driving range
  • battery status
  • life-cycle cost
  • charging technology

Published Papers (4 papers)

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Research

22 pages, 12650 KiB  
Article
Determination of the Performance Characteristics of a Traction Battery in an Electric Vehicle
by Boris V. Malozyomov, Nikita V. Martyushev, Vladislav V. Kukartsev, Vladimir Yu. Konyukhov, Tatiana A. Oparina, Nadezhda S. Sevryugina, Valeriy E. Gozbenko and Viktor V. Kondratiev
World Electr. Veh. J. 2024, 15(2), 64; https://doi.org/10.3390/wevj15020064 - 12 Feb 2024
Viewed by 1356
Abstract
Electric vehicles are the most innovative and promising area of the automotive industry. The efficiency of a traction battery is an important factor in the performance of an electric vehicle. This paper presents a mathematical model of an electric truck, including modules for [...] Read more.
Electric vehicles are the most innovative and promising area of the automotive industry. The efficiency of a traction battery is an important factor in the performance of an electric vehicle. This paper presents a mathematical model of an electric truck, including modules for the traction battery to determine the depth of battery discharge during the operation of the electric truck, a traction electric system for the electric truck and a system for calculating traction forces on the shaft in electric motors. As a result of the modelling, the charging and discharging currents of an accumulator battery in a real cycle of movement in peak and nominal modes of operation in electric motors and at different voltages of the accumulator battery are determined. A functional scheme of a generalized model of the electric vehicle traction electrical equipment system is developed. An experimental battery charge degree, torques of asynchronous electric motors, temperature of electric motors and inverters, battery voltage and the speed of electric motors have been measured and analysed. The developed complex mathematical model of an electric vehicle including a traction battery, two inverters and two asynchronous electric motors integrated into an electric portal bridge allowed us to obtain and study the load parameters of the battery in real driving cycles. Data were verified by comparing simulation results with the data obtained during driving. Full article
(This article belongs to the Special Issue The Contribution of Electric Vehicles to Realization of Dual Carbon Goal)
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12 pages, 1027 KiB  
Article
Examination of the Factors Influencing the Electric Vehicle Accident Size in Norway (2020–2021)
by Xuerui Hou, Meiling Su, Chenhui Liu, Ying Li and Qinglu Ma
World Electr. Veh. J. 2024, 15(1), 3; https://doi.org/10.3390/wevj15010003 - 20 Dec 2023
Cited by 2 | Viewed by 1365
Abstract
With the great increase of electric vehicles (EVs) in the past decade, EV-involved traffic accidents have also been increasing quickly in many countries, bringing many new traffic safety challenges. Norway has the largest EV penetration rate in the world. Using the EV accident [...] Read more.
With the great increase of electric vehicles (EVs) in the past decade, EV-involved traffic accidents have also been increasing quickly in many countries, bringing many new traffic safety challenges. Norway has the largest EV penetration rate in the world. Using the EV accident data from Norway in 2020 and 2021, this study aims to investigate the features of EV safety comprehensively. Firstly, a descriptive analysis is conducted. It has been found that rear-end collisions are the major collision type of EVs, and EVs are very likely to collide with pedestrians/cyclists. In addition, in terms of roadway type, EV accidents mainly occur on medium- and low-speed roads; in terms of environment, they mainly occur in good visibility conditions and dry road surface conditions. Then, a regression analysis is conducted to identify the key factors affecting the accident size, which is the number of traffic units involved in an accident and taken as the accident severity surrogate here. Since EV accidents are divided into four categories in order of accident size, the ordered logit model is adopted. It divides a multi-categorical dependent variable into multiple binary data points in order and calculates the probability of the dependent variable falling into each category with the logit model, respectively. The estimation results indicate that time of day, speed limit, and presence of medians have statistically significant impacts on the EV accident size. Finally, some countermeasures to prevent EV accidents are proposed based on the research results. Full article
(This article belongs to the Special Issue The Contribution of Electric Vehicles to Realization of Dual Carbon Goal)
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23 pages, 3767 KiB  
Article
A Charging Guidance Optimization Model for Electric Vehicle Travel by Considering Multi-Dimensional Preferences of Users
by Xiaolong Zuo, Jun Bi, Yongxing Wang and Yujia Du
World Electr. Veh. J. 2023, 14(7), 171; https://doi.org/10.3390/wevj14070171 - 27 Jun 2023
Viewed by 1082
Abstract
The dual-carbon strategy advocates a green, environmentally friendly, and low-carbon lifestyle. In the field of transportation, electric vehicles (EVs) have been regarded as an effective solution to reduce carbon emissions and to conserve energy. Developing a reasonable charging guidance scheme for users is [...] Read more.
The dual-carbon strategy advocates a green, environmentally friendly, and low-carbon lifestyle. In the field of transportation, electric vehicles (EVs) have been regarded as an effective solution to reduce carbon emissions and to conserve energy. Developing a reasonable charging guidance scheme for users is a feasible way to solve problems, such as the range anxiety of EV users, and has a great application value for the promotion of EVs in the future. In practical situations, how to develop charging induction schemes for users that better meet their needs according to the type of user and their multi-dimensional preferences is the focus of this paper. To this end, this study utilized charging behavioral data to investigate the multi-dimensional charging preference of users based on the collaborative filtering algorithm. Then, a multi-objective optimization model was established based on the preference degree of each charging station and the integrated travel cost. An NSGA-III framework was used to design the algorithm to solve the proposed model. The algorithm was tested using simulation experiments that were designed based on the road network and charging stations in Beijing. The final result is an experimental analysis of the weight matrices for the three different preferences of minimum energy consumption cost, minimum time cost, and minimum fee cost, which yields a difference of about 4.4% between the optimal energy consumption cost and the maximum energy cost, about 2.9% between the optimal time cost and the maximum time cost, and about 10% between the optimal fee cost and the maximum fee cost under these three different preferences, respectively. The proposed multi-objective optimization model is able to provide users with reliable charging station selection by incorporating their personalized charging preference characteristics and charge guidance schemes. Full article
(This article belongs to the Special Issue The Contribution of Electric Vehicles to Realization of Dual Carbon Goal)
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23 pages, 4292 KiB  
Article
Understanding Travel Behavior of Electric Car-Sharing Users under Impact of COVID-19
by Qiuyue Sai, Jun Bi, Xiaomei Zhao, Wei Guan and Chaoru Lu
World Electr. Veh. J. 2023, 14(6), 144; https://doi.org/10.3390/wevj14060144 - 01 Jun 2023
Cited by 1 | Viewed by 1395
Abstract
The outbreak of the COVID-19 pandemic has raised concerns about the use of public transport, with a surge in people considering personal car usage. However, owning private cars is costly and wasteful of resources. Electric car-sharing (ECS) is considered a safer and more [...] Read more.
The outbreak of the COVID-19 pandemic has raised concerns about the use of public transport, with a surge in people considering personal car usage. However, owning private cars is costly and wasteful of resources. Electric car-sharing (ECS) is considered a safer and more private mode of transportation compared with public transportation. The COVID-19 pandemic has affected transport on transportation policies and travel willingness. What is the effect of the COVID-19 pandemic on CS travel, especially considering the safety issues during the COVID-19 pandemic? This study analyses the differences in the travel characteristics of private car owners and nonowners while using CS under the influence of the COVID-19 pandemic. Quantitative analysis during four months before and four months after the outbreak of the COVID-19 pandemic is conducted based on CS order data in Lanzhou, China. It was found that the number of CS orders fell by 55.8% during the COVID-19 pandemic. Travel behavior during the pandemic is different from that before the outbreak of the pandemic. Additionally, both private car owners and nonowners use CS while having differences in travel characteristics. Based on the results, business suggestions are introduced on the distribution of vehicles to help improve the profit of CS operators. Full article
(This article belongs to the Special Issue The Contribution of Electric Vehicles to Realization of Dual Carbon Goal)
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