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World Electric Vehicle Journal, Volume 16, Issue 11

2025 November - 51 articles

Cover Story: Electric vehicle (EV) drivers often express concerns that the poor reliability of charging infrastructure serves as a major barrier to comfortable EV ownership. User-written reviews of EV stations can provide direct insights into these challenges, but there is no standardized methodology to extract quantifiable customer pain points (CPPs) from these reviews. This study bridges this gap by introducing a systematic categorization and analysis of large-scale EV-charging reviews (SCALER) framework, integrating deep learning to segment, actively label, and classify EV customer reviews into six CPP categories with a classification accuracy of 92.5%. Real-world applications of SCALER are demonstrated to help the industry understand and address CPPs to improve the EV charging experience. View this paper
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Articles (51)

  • Article
  • Open Access
633 Views
21 Pages

A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering

  • Farrukh Hafeez,
  • Zeeshan Ahmad Arfeen,
  • Gohar Ali,
  • Muhammad I. Masud,
  • Muhammad Hamid,
  • Mohammed Aman,
  • Muhammad Salman Saeed and
  • Touqeer Ahmed Jumani

With respect to battery management and safe operation and maintenance scheduling of electric vehicles (EVs), it is very important to predict the remaining useful life (RUL) of lithium-ion batteries (LIBs). Accurate prediction of RUL can bring secure...

  • Review
  • Open Access
1,388 Views
30 Pages

Drastically cutting carbon footprints to reduce global warming is now a universal norm, in keeping with the United Nations’ Convention on Climate Change 2015. The global proliferation of electric vehicles (EVs) is, hence, appropriate. India (Ni...

  • Article
  • Open Access
650 Views
25 Pages

Improving road safety is a fundamental goal of Intelligent Transportation Systems (ITS). However, the complex interplay of factors in accident-prone scenarios, such as highway–rail grade crossings, poses significant challenges for conventional...

  • Article
  • Open Access
1,117 Views
22 Pages

Enabling Grid Services with Bidirectional EV Chargers: A Comparative Analysis of CCS2 and CHAdeMO Response Dynamics

  • Kristoffer Laust Pedersen,
  • Rasmus Meier Knudsen,
  • Mattia Marinelli,
  • Mattia Secchi and
  • Kristian Sevdari

Bidirectional electric vehicle (EV) charging represents an opportunity to leverage EVs as flexible energy assets within the power system. By enabling controlled power flow in both directions, bidirectional charging unlocks a wide range of grid servic...

  • Article
  • Open Access
602 Views
16 Pages

Technological innovation and the efficiency of resource allocation in Chinese new energy vehicle enterprises represent critical factors influencing the sustainable development of the industry. By applying a two-stage dynamic network DEA model to anal...

  • Article
  • Open Access
742 Views
23 Pages

Validating DVS Application in Autonomous Driving with Various AEB Scenarios in CARLA Simulator

  • Jingxiang Feng,
  • Peiran Zhao,
  • Jessada Konpang,
  • Adisorn Sirikham,
  • Haoran Zheng,
  • Phuri Kalnaowakul and
  • Jia Wang

Predicting potential collisions with leading vehicles is a fundamental capability of autonomous and assisted driving systems. In particular, automatic emergency braking (AEB) demands reaction times on the order of microseconds. A key limitation of ex...

  • Review
  • Open Access
1,082 Views
28 Pages

Traction Synchronous Motors with Rotor Field Winding: A Literature Review

  • Vladimir Prakht,
  • Vladimir Dmitrievskii,
  • Vadim Kazakbaev,
  • Eduard Valeev and
  • Victor Goman

Synchronous motors with a field winding in the rotor, known as wound-rotor synchronous motors (WRSMs) or electrically excited synchronous motors (EESMs), are claimed to be a good alternative to induction motors and even permanent-magnet synchronous m...

  • Article
  • Open Access
464 Views
27 Pages

This work minimizes battery pack enclosure mass (kg) and peak deformation (mm) under a side-pole impact condition and validates the results by finite-element reruns complemented by coupon-level material tests. A 64-run optimal Latin hypercube dataset...

  • Article
  • Open Access
390 Views
38 Pages

This study investigates how the government can design optimal incentive mechanisms for Shared Battery Swapping Station (SBSS) construction enterprises under the conditions of dual information asymmetry (effort and operational efficiency) and heteroge...

  • Editorial
  • Open Access
565 Views
6 Pages

Today, in the face of the urgent need to decarbonize global transportation, the development of electric vehicles (EVs) has become one of the core strategies to address energy crises and environmental challenges [...]

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