Trends and Emerging Technologies in Electric Vehicles

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 12885

Special Issue Editors


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Guest Editor
Institute of Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland
Interests: new energy vehicle; energy harvesting; wearable electronics

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Guest Editor
Automotive Platforms and Application Systems R&D Centre, Hong Kong Productivity Council, Hong Kong 999077, China
Interests: green transportation; smart mobility; electric vehicles; vehicle engineering

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Guest Editor
School of Automobile and Traffic Engineering, Jiangsu University of Technology, Changzhou, China
Interests: intelligent vehicle dynamics analysis and control; intelligent tire

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Guest Editor
1. Department of Materials, ETH Zürich, 8093 Zurich, Switzerland
2. Automotive Platforms and Application Systems R&D Centre, Hong Kong Productivity Council, Hong Kong 999077, China
Interests: energy and environmental materials; fuel cells; electrocatalysts; electric vehicles
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Special Issue Information

Dear Colleagues,

Whether in developed countries or emerging economies, convenient and efficient transportation is the backbone of economic prosperity. However, it brings crises such as energy shortages, environmental pollution, health hazards, and traffic congestion that cannot be ignored. Electric vehicles (EVs) are the key to solving the challenges of sustainable urban transportation and the first choice for greener and smarter travel.

At this stage, the promotion and large-scale commercialization of EVs still face some major challenges such as range anxiety, insufficient basic charging facilities, grid and management pressure, and excessive charging time. Emerging EV technologies and trends including wireless charging, smart electricity grids, Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) technologies, connected vehicles (CVs), autonomous driving, shared mobility, and battery recycling and reuse technologies will greatly benefit EV stakeholders and further promote EV adoption. Combining emerging technologies will also make EVs greener and smarter. At present, the academic community has begun to explore the interdisciplinary synergy of these emerging EV technologies, evaluate the economic and environmental benefits of new EV technologies, and provide clearer development paths and recommendations for the future development of EVs.

Therefore, exploring new trends and novel technologies for electric vehicles is an indivisible part of real-izing social sustainable development and greener and smarter transportation in the future. This special topic attempts to bridge between the transportation research community and emerging technologies. We will focus on state-of-the-art progress concerning all aspects in the realm of new trends and emerging technologies in EVs, foster the discussion of recent achievements, and identify the gap between the basic research and practical application to speed up EV development.

Dr. Yinghong Wu
Dr. Tiande Mo
Prof. Dr. Bo Li
Dr. Yang Luo
Guest Editors

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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

  • green and smart mobility
  • wireless charging
  • smart power distribution technologies
  • vehicle-to-Home (V2H) and vehicle-to-grid (V2G) technologies
  • smart electricity grids
  • connected vehicles (CVs)
  • autonomous driving
  • advanced sensory technologies
  • shared mobility
  • EV and battery recycling processes
  • second life batteries

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Published Papers (4 papers)

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Editorial

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3 pages, 1131 KiB  
Editorial
The Road to Green Mobility in Hong Kong
by Tiande Mo, Fengxiang Chen, Yu Li and Yang Luo
World Electr. Veh. J. 2023, 14(1), 10; https://doi.org/10.3390/wevj14010010 - 1 Jan 2023
Cited by 1 | Viewed by 1849
Abstract
Green mobility is in high demand in the 21st century [...] Full article
(This article belongs to the Special Issue Trends and Emerging Technologies in Electric Vehicles)
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Research

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16 pages, 10542 KiB  
Article
Design and Analysis of a Novel Adjustable SVAWT for Wind Energy Harvesting in New Energy Vehicle
by Zhen Zhao, Yongxin Li, Baifu Zhang, Changhong Wang, Zhangwei Yan and Qingcheng Wang
World Electr. Veh. J. 2022, 13(12), 242; https://doi.org/10.3390/wevj13120242 - 15 Dec 2022
Cited by 6 | Viewed by 2998
Abstract
The new energy vehicle is a robust measure to solve the problem of global warming. However, the new energy vehicle generally has the disadvantages of short mileage and difficulty in finding public chargers. The combination of wind energy harvest and new energy vehicle [...] Read more.
The new energy vehicle is a robust measure to solve the problem of global warming. However, the new energy vehicle generally has the disadvantages of short mileage and difficulty in finding public chargers. The combination of wind energy harvest and new energy vehicle can be conducive to the promotion of the new energy vehicle. This paper proposes a novel adjustable Savonius vertical axis wind turbine (SVAWT). It contains three parts: an energy absorption module, an energy recovery module, and an energy conversion module. The energy absorption module includes four blades with staggered distribution in two layers. The overlap ratio of the blades can be adjusted by the wind speed, which can ensure the SVAWT has a higher energy transfer efficiency. The energy recovery module adjusts the overlap ratio of the blades without interruption by utilizing the self-rotation and the orbital revolution of the gears. The energy conversion module converts mechanical energy into electric energy and supplies power for the vehicle after adjustment by the voltage regulator module. Based on actual operating data, it can be found that the variation trend of power of the blades absorbing is consistent with wind speed and increases with the wind speed. Under four actual operating conditions, the root mean square value of the blades absorbing power are 7.0 W, 7.1 W, 3.9 W, and 5.1 W, respectively. These results reveal that the proposed novel adjustable SVAWT has high recovery power potential and can provide a valuable solution to the practical applications of wind energy harvesting. Full article
(This article belongs to the Special Issue Trends and Emerging Technologies in Electric Vehicles)
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23 pages, 17166 KiB  
Article
The Vertical Force Estimation Algorithm Based on Smart Tire Technology
by Tianli Gu, Bo Li, Zhenqiang Quan, Shaoyi Bei, Guodong Yin, Jinfei Guo, Xinye Zhou and Xiao Han
World Electr. Veh. J. 2022, 13(6), 104; https://doi.org/10.3390/wevj13060104 - 13 Jun 2022
Cited by 7 | Viewed by 2892
Abstract
The real-time monitoring of the vertical force of the tire is the basis for ensuring the driving safety, handling stability, fuel economy and the riding comfort of the vehicle. An algorithm for the vertical force of the tire estimation based on the combination [...] Read more.
The real-time monitoring of the vertical force of the tire is the basis for ensuring the driving safety, handling stability, fuel economy and the riding comfort of the vehicle. An algorithm for the vertical force of the tire estimation based on the combination of intelligent tire technology and neural network theory is herein proposed. Firstly, the finite element model of the 205/55/R16 radial tire was established by ABAQUS and the validity of the finite element model was verified through static experiment and dynamic experiment. Secondly, the effects of inflation pressure, speed, load and tread wear on the tire contact patch length and the radial displacement at the virtual acceleration sensor were analyzed based on the finite element analysis method and control variable method. Finally, three kinds of the vertical force prediction algorithms based on the GA-BP neural network algorithm were established, and the network performance of each prediction model was tested. The results show that the vertical force prediction model with inflation pressure and the peak value of radial displacement as the characteristic input parameters has the highest prediction accuracy and the shortest calculation time. At the same time, the mathematical formula of the Model 3 was built. Full article
(This article belongs to the Special Issue Trends and Emerging Technologies in Electric Vehicles)
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Other

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13 pages, 1195 KiB  
Obituary
In Memoriam: Dr.-Ing. Walter Lachenmeier (1945–2022)—Reflections on a Life between Research Funding Administration, Electric Vehicle Development and Technology Transfer
by Dirk W. Lachenmeier
World Electr. Veh. J. 2022, 13(8), 156; https://doi.org/10.3390/wevj13080156 - 14 Aug 2022
Viewed by 2027
Abstract
These memoirs about Walter Lachenmeier (1945–2022) concentrate on his activities as head of the engineering sciences group of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), for which he worked from 1977 to 2007, and his following scientific activities in electric vehicle research and [...] Read more.
These memoirs about Walter Lachenmeier (1945–2022) concentrate on his activities as head of the engineering sciences group of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), for which he worked from 1977 to 2007, and his following scientific activities in electric vehicle research and development, including a review of his patents in this area, which encompass topics from enhancement of the performance and lifetime of lithium-ion batteries, their arrangement, connection and configuration, as well as efficiency increase in supply and storage of energy. Full article
(This article belongs to the Special Issue Trends and Emerging Technologies in Electric Vehicles)
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