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World Electric Vehicle Journal, Volume 14, Issue 8

August 2023 - 34 articles

Cover Story: The majority of freight in Germany is transported by trucks, resulting in them emitting approximately 9% of Germany’s carbon dioxide equivalent emissions. In particular, long-distance truck journeys contribute significantly to these emissions. This paper aims to explore the conditions and impacts of introducing E-Trucks in Germany by utilizing a microscopic traffic simulation approach. Five different electrification levels of long-distance truck traffic are evaluated. The demand-oriented charging network dimensioning aims for a realistic and implementable design and is based on an average charging power of 720 kW. Additionally, it considers the necessary infrastructure requirements at service and rest areas next to the motorway. The results of this research provide valuable insights in terms of usage, requirements and demand. View this paper
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Articles (34)

  • Article
  • Open Access
2 Citations
2,853 Views
19 Pages

Battery charging mode (CM) is a prevalent method of trans-shipping power to new energy vehicles (NEVs). Unfortunately, due to the limited capacity of batteries, typical NEVs can only travel for approximately 350 miles on a single charge and require h...

  • Article
  • Open Access
11 Citations
5,411 Views
23 Pages

The suspension system’s performance has a direct impact on the ride comfort, handling stability, and driving safety of heavy vehicles. The active air suspension of heavy vehicles can adjust the stiffness, damping parameters, and body height in...

  • Article
  • Open Access
2 Citations
3,112 Views
13 Pages

The aging process of lithium-ion batteries is an extremely complex process, and the prediction of the calendar life of the lithium-ion battery is important to further guide battery maintenance, extend the battery life and reduce the risk of battery u...

  • Article
  • Open Access
2 Citations
2,965 Views
21 Pages

Testing Scenario Identification for Automated Vehicles Based on Deep Unsupervised Learning

  • Shuai Liu,
  • Fan Ren,
  • Ping Li,
  • Zhijie Li,
  • Hao Lv and
  • Yonggang Liu

Naturalistic driving data (NDD) are valuable for testing autonomous driving systems under various driving conditions. Automatically identifying scenes from high-dimensional and unlabeled NDD remains a challenging task. This paper presents a novel app...

  • Article
  • Open Access
1 Citations
2,107 Views
18 Pages

Mini-electric trucks have been widely used because of their high efficiency and zero emission with the rapid development of electronic commerce and express industry. So, improvement of dynamic performance and economy becomes crucial. The research in...

  • Article
  • Open Access
1 Citations
2,845 Views
20 Pages

Electric vehicles (EVs) are a promising solution to reduce carbon dioxide (CO2) emissions, but this reduction depends on the fraction of renewable sources used to generate electricity. Wind energy is thus a vital candidate and has experienced a remar...

  • Article
  • Open Access
19 Citations
6,950 Views
26 Pages

The majority of freight in Germany is carried out by trucks, resulting in emitting approximately 9% of Germany’s carbon dioxide equivalent emissions. In particular, long-distance truck journeys contribute significantly to these emissions. This...

  • Article
  • Open Access
2 Citations
2,301 Views
14 Pages

Carbon Market Trading Mechanisms Considering Multi-Layer Reactive Power Compensation

  • Haiyun An,
  • Xiang Jin,
  • Qian Zhou,
  • Bingcheng Cen,
  • Tong Zhu and
  • Yifei Wang

In the context of achieving carbon peaking and carbon neutrality goals, focusing on coordinated efficiency in loss and carbon reduction, and promoting comprehensive green transformation of economic and social development are critical strategies. Line...

  • Article
  • Open Access
2 Citations
2,887 Views
25 Pages

With the increasing number of new energy sources connected to the grid, the unbalanced output of three-phase grid-connected inverters and the lack of no inertia and damping characteristics in the traditional microgrid control system will seriously af...

  • Article
  • Open Access
10 Citations
2,668 Views
15 Pages

Battery state of charge prediction is one of the most essential state quantities of a battery management system. It is a prerequisite for the operation of a battery management system, but it becomes difficult to make an exact prediction of its state...

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World Electr. Veh. J. - ISSN 2032-6653