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World Electric Vehicle Journal, Volume 16, Issue 5

May 2025 - 47 articles

Cover Story: How reliable are current battery aging tests compared to actual battery electric vehicle usage? While laboratory test procedures aim to accelerate degradation, they often neglect key operational features such as frequent and extended rest phases. These pauses enable internal relaxation processes that influence lithium distribution and degradation characteristics. Ignoring such effects in long-term aging tests alters cell behavior and results in inaccurate lifetime predictions. Emerging insights into the interplay between cycling protocols, stress factors, and cell inhomogeneities call for a reassessment of standard test designs. Aligning accelerated aging methods more closely with real-world conditions is essential to ensure meaningful and reliable evaluation of battery performance and durability. View this paper
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Articles (47)

  • Article
  • Open Access
1,133 Views
23 Pages

Mediating Role of 6V-Based SBMI Between Competitive Strategies and Firm Performance: An Empirical Study of China’s Electric Vehicle Industry

  • Xiaohui Zang,
  • Raja Nazim Abdullah,
  • Yi Feng,
  • Mingling Wu,
  • Yanqiu Lu,
  • Enzhou Zhu and
  • Yingfeng Zhang

Strategic management and sustainable business model innovation (SBMI) are widely recognized important firm performance. This study develops a theoretical framework that integrates competitive strategy, SBMI, and performance, with SBMI conceptualized...

  • Article
  • Open Access
6 Citations
12,819 Views
24 Pages

Evaluating Carbon Emissions: A Lifecycle Comparison Between Electric and Conventional Vehicles

  • Farhan Hameed Malik,
  • Walid Ayadi,
  • Ghulam Amjad Hussain,
  • Zunaib Maqsood Haider,
  • Fawwaz Alkhatib and
  • Matti Lehtonen

Due to global warming, ozone depletion and their ramifications on the Arctic and Antarctic snowscapes, there has been an incentivized drive towards net zero-carbon emission policies by several countries. These policies extend to several sectors, incl...

  • Article
  • Open Access
4 Citations
3,303 Views
20 Pages

With the widespread adoption of electric vehicles (EVs), optimizing their charging and discharging strategies to improve energy efficiency and extend battery life has become a focal point of current research. Traditional charging and discharging stra...

  • Article
  • Open Access
2 Citations
1,605 Views
31 Pages

Applying QFD to the Vehicle Market Deployment Process

  • Marta Pino-Servian,
  • Álvaro de la Puente-Gil,
  • Antonio Colmenar-Santos and
  • Enrique Rosales-Asensio

This study presents a practical methodology for systematically incorporating customer expectations and needs into the market implementation of electric vehicles (EVs). Utilising Quality Function Deployment (QFD), companies can evaluate and understand...

  • Article
  • Open Access
1 Citations
844 Views
19 Pages

In intelligent cluster systems, the spatio-temporal complexity of agent data collection and resource allocation, as well as the problems in collaborative organizations, present substantial challenges to efficient resource distribution. To address thi...

  • Article
  • Open Access
1 Citations
1,251 Views
19 Pages

Temperature-Influenced SOC Estimation of LiFePO4 Batteries in Hybrid Electric Tractors Based on SAO-LSTM Model

  • Yiwei Wu,
  • Xiaohui Liu,
  • Jingyun Zhang,
  • Mengnan Liu,
  • Lin Wang,
  • Xiaoxiao Du and
  • Xianghai Yan

LiFePO4 batteries are widely used in hybrid electric tractors due to their high energy density, stable working voltage, low self-discharge rate, long cycle life, absence of memory effect, environmental friendliness, and flexible sizing. Accurate Stat...

  • Article
  • Open Access
1 Citations
1,239 Views
24 Pages

Hybrid Vehicle Battery Health State Estimation Based on Intelligent Regenerative Braking Control

  • Chellappan Kavitha,
  • Gupta Gautam,
  • Ravi Sudeep,
  • Chidambaram Kannan and
  • Bragadeshwaran Ashok

In response to the evolving transportation landscape, the safety and durability of hybrid electric vehicles (HEVs) necessitate the development of high-performance, reliable health management systems for batteries. The state of health (SOH) provides v...

  • Article
  • Open Access
1 Citations
1,249 Views
15 Pages

An Artificial Neural Network-Based Battery Management System for LiFePO4 Batteries

  • Roger Painter,
  • Ranganathan Parthasarathy,
  • Lin Li,
  • Irucka Embry,
  • Lonnie Sharpe and
  • S. Keith Hargrove

We present a reduced-order battery management system (BMS) for lithium-ion cells in electric and hybrid vehicles that couples a physics-based single-particle model (SPM) derived from the Cahn–Hilliard phase-field formulation with a lumped heat-...

  • Article
  • Open Access
1 Citations
915 Views
23 Pages

Cooperative Unmanned Aerial Vehicle (UAV) technology can significantly improve data acquisition in Internet of Things (IoT) environments, which are characterized by wide distribution and limited capacity of ground-based devices. However, due to the o...

  • Article
  • Open Access
5 Citations
3,930 Views
16 Pages

This study presents a Model Predictive Control (MPC) strategy for the Battery Thermal Management System (BTMS) in electric vehicles (EVs) to optimize energy efficiency while maintaining battery temperature within the optimal range. Due to the complex...

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