WEVJ MDPI

12/12/2024

🚗💡 New Publication in WEVJ Journal!

Explore the paper "Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments" by Ying Cong and Kai Zhu, addressing the growing complexity of vehicle routing problems (VRP) in logistics.

This study introduces an uncertainty-based optimization model for VRP, considering time windows, load capacity, and carbon emissions. Key highlights include:
🔹 Hybrid optimization algorithm combining ant colony, zebra optimization, and the 3-opt algorithm for superior performance.
🔹 Reduction of total costs through uncertainty models and efficient constraint handling.
🔹 Outperformance of other algorithms, such as genetic and particle swarm optimization.

📖 Dive into the full article here: https://www.mdpi.com/2032-6653/14/2/30

With the growing complexity of logistics and the demand for sustainability, the vehicle routing problem (VRP) has become a key research area. Classical VRPs now incorporate practical challenges such as time window constraints and carbon emissions. In uncertain environments, where many factors are st...

11/12/2024

🚗🔍 Latest Publication Alert in WEVJ Journal!

Check out the cutting-edge study "LiDAR Simultaneous Localization and Mapping Algorithm for Dynamic Scenes" by Peng Ji, Qingsong Xu, and Yifan Zhao.

This research introduces a LiDAR-IMU tightly coupled SLAM algorithm, addressing the challenges of dynamic obstacles in low-speed intelligent vehicle navigation. The approach includes:
🔹 Dynamic region extraction via linear discretized height descriptors.
🔹 Improved point cloud accuracy using the RANSAC ground-fitting algorithm.
🔹 Validation with open-source and campus datasets, outperforming ERASOR and LIO-SAM by 12.3% and 8.3%, respectively.

📖 Read the full article here: https://www.mdpi.com/2032-6653/14/2/30

To address the issue of significant point cloud ghosting in the construction of high-precision point cloud maps by low-speed intelligent mobile vehicles due to the presence of numerous dynamic obstacles in the environment, which affects the accuracy of map construction, this paper proposes a LiDAR-b...

11/12/2024

🚗🔍 Latest Publication Alert in WEVJ Journal!

Check out the cutting-edge study "LiDAR Simultaneous Localization and Mapping Algorithm for Dynamic Scenes" by Peng Ji, Qingsong Xu, and Yifan Zhao.

This research introduces a LiDAR-IMU tightly coupled SLAM algorithm, addressing the challenges of dynamic obstacles in low-speed intelligent vehicle navigation. The approach includes:
🔹 Dynamic region extraction via linear discretized height descriptors.
🔹 Improved point cloud accuracy using the RANSAC ground-fitting algorithm.
🔹 Validation with open-source and campus datasets, outperforming ERASOR and LIO-SAM by 12.3% and 8.3%, respectively.

📖 Read the full article here: https://www.mdpi.com/2032-6653/14/2/30

To address the issue of significant point cloud ghosting in the construction of high-precision point cloud maps by low-speed intelligent mobile vehicles due to the presence of numerous dynamic obstacles in the environment, which affects the accuracy of map construction, this paper proposes a LiDAR-b...

10/12/2024

🚗⚡ Editor’s Choice in Electric Vehicle Control!

Explore groundbreaking research in hybrid electric vehicle technology with the paper:
"Adaptive Nonlinear Control of Salient-Pole PMSM for Hybrid Electric Vehicle Applications: Theory and Experiments" by Chaimae El Fakir et al.

This study introduces an adaptive nonlinear controller for salient-pole permanent-magnet synchronous motors (SP-PMSMs) using the backstepping technique. The research highlights solutions for robust speed control amidst load variations and parameter uncertainties, ensuring stability and reliability for hybrid electric vehicles.

📖 Read the full article: https://doi.org/10.3390/wevj14020030

Discover how cutting-edge control systems are paving the way for efficient and reliable HEVs! 🚙💡

This research work deals with the problem of controlling a salient-pole permanent-magnet synchronous motor (SP-PMSM) used in hybrid electric vehicles. An adaptive nonlinear controller based on the backstepping technique is developed to meet the following requirements: control of the reference vehicl...

09/12/2024

We extend our sincere congratulations to the three Editorial Board Members of World Electric Vehicle Journal (WEVJ, ISSN: 2032-6653). Prof. Minggao Ouyang, Prof. Joeri Van Mierlo and Prof. Michael Fowler, who have been recognized as Highly Cited Researchers for the year 2024 by ClarivateTM. They are being recognized for their high-quality scientific research achievements and outstanding contributions to their professional fields, as indicated by Web of Science data.

Congratulations to the scholars for their noteworthy achievement. We are honored to have them on board with our journal!

All EBMs of WEVJ can be found at: https://brnw.ch/21wPhjp

04/12/2024

World Electr. Veh. J., Volume 15, Issue 11 (November 2024) – 59 articles has been released! You could read all here:

https://brnw.ch/21wPb6A

Issue cover paper" Driving the Future: An Analysis of Total Cost of Ownership for Electrified Vehicles in North America"

03/12/2024

🚨 New Publication Alert! 🚨

Why would next generation EVs switch to solid-state batteries?

📚Read the full article here: https://brnw.ch/21wP8ZM

29/11/2024

🚗🌍 Latest Publication: Driver Awareness and Energy Conservation

How can driver energy-saving awareness impact energy consumption in traffic systems? This study introduces a novel microscopic traffic model, showing that:
🔹 Energy consumption decreases with greater driver awareness
🔹 Traffic flow becomes smoother with fewer variations in speed, density, and acceleration
🔹 Higher speeds and reduced congestion improve efficiency compared to traditional models

By incorporating behavioral factors, this model offers insights into reducing the carbon footprint of road transportation and advancing sustainability in traffic management.

🔗 Read more in the World Electric Vehicle Journal: https://doi.org/10.3390/wevj15120551

Road traffic significantly impacts global energy consumption and emissions, both of which contribute to climate change. Thus, energy conservation and emission reduction in road transportation are critical concerns, and traffic flow modeling is key to evaluating and improving these metrics. Therefore...

29/11/2024

Accessed Articles

Driving Under Cognitive Control: The Impact of Executive Functions in Driving

This review will explore the role of executive functions and the impact they have in facilitating the skills of vehicle operation. Executive functions are critical for the decision-making process, problem-solving, and multitasking. They are considered the primary factors in driving cases that demand...

28/11/2024

🔧⚡ Latest Publication: Transitioning to Electric UTVs

How will the shift to electric utility terrain vehicles (UTVs) reshape the assembly tooling industry?

🔗 Read the full study in the World Electric Vehicle Journal: https://doi.org/10.3390/wevj15120552

This case report explores the UTVs (utility terrain vehicles) transition from internal combustion engines to electric drive and how the shift will impact the assembly tooling industry. A multiple-case study at manufacturing plants was complemented by an exploratory survey with key stakeholders in th...

27/11/2024

🚗⚡ Editor’s Choice: Optimizing Charging Infrastructure for Private Electric Cars

Discover how a genetic algorithm and transport simulation data can shape cost-efficient and user-friendly charging infrastructure! This study focuses on Berlin's transition to 100% BEVs (Battery Electric Vehicles), optimizing the spatial distribution of public and private charging points.

🔎Explore how this methodology can be applied to other cities to revolutionize urban e-mobility. 🌍

🔗 Read more in the World Electric Vehicle Journal: https://doi.org/10.3390/wevj14020026

To enable the deployment of battery electric vehicles (BEVs) as passenger cars in the private transport sector, suitable charging infrastructure is crucial. In this paper, a methodology for the efficient spatial distribution of charging infrastructure is evaluated by investigating a scenario with a ...

26/11/2024

editors' choice article: Torque Distribution Based on Dynamic Programming Algorithm for Four In-Wheel Motor Drive Electric Vehicle Considering Energy Efficiency Optimization

https://brnw.ch/21wOYGC

Article Views 4909

Citations 22

The improvement of both the stability and economy of the four in-wheel motor drive (4IWMD) electric vehicle under complex drive cycles is currently a difficult problem in this field. A torque distribution method with the comprehensive goals of optimal torque distribution and energy efficiency, consi...

22/11/2024

🚗⚡ Latest Publication 🚀

Explore advancements in motor fault-tolerance with the study:
"Symmetrical Short-Circuit Behavior Prediction of Rare-Earth Permanent Magnet Synchronous Motors"

This work evaluates efficient methods to analyze three-phase short-circuit events in PMSMs, offering insights into improving design for fault tolerance and reliability.

📖 Full study: https://brnw.ch/21wORm3

Since the advent of rare-earth permanent magnet (PM) materials, PM synchronous machines (PMSMs) have become popular in power generation, industrial drives, and e-mobility. However, rare-earth PMs in PMSMs are prone to temperature- and operation-related irreversible demagnetization. Additionally, fau...

21/11/2024

Review paper： Energy Management and Optimization of Large-Scale Electric Vehicle Charging on the Grid

authors： Raymond O. Kene and Thomas O. Olwal

website：https://brnw.ch/21wOPNk

Article Views 5657

Citations 21

The sustainability of a clean energy transition for electric vehicle transportation is clearly affected by increased energy consumption cost, which is associated with large-scale electric vehicles (EVs) charging on a fossil-fuel dependent electricity grid. This places a potential threat on the safe ...

21/11/2024

🌟 Editor's Choice 🌟

Dive into the future of sustainable mobility with the review:
"Smart Charging of Electric Vehicles via Market-Based Incentives, Grid-Friendly and Grid-Compatible Measures" 🔌🚗

This paper highlights the consensus from German pilot projects on optimizing smart charging through market incentives, standards, and innovative solutions for integrating mobility with renewable energy.

📖 Read more: https://brnw.ch/21wOPDv

Smart charging of electric vehicles is a promising concept for solving the current challenges faced by connecting mobility and electricity within the context of the ongoing sustainable energy transition. It allows cost savings for the expansion and operation of the power grid and a more efficient us...

20/11/2024

🌟 Editor's Choice 🌟

Explore the innovative use of phase-change materials for battery thermal management in electric flight:
"A Numerical Study of the Suitability of Phase-Change Materials for Battery Thermal Management in Flight Applications" 🛫🔋

Discover how PCMs can maintain ideal battery temperatures during flight while offering a low-mass, passive solution.

📖 Read the full article: https://brnw.ch/21wONoi

Battery pack specific energy, which can be enhanced by minimising the mass of the battery thermal management system (BTMS), is a limit on electric fixed-wing flight applications. In this paper, the use of phase-change materials (PCMs) for BTMSs is numerically explored in the 3D domain, including an ...

18/11/2024

Please read our editor's choice paper "Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data" which has been cited 24 times!

https://brnw.ch/21wOJCK

The current increase of electric vehicles in Germany requires an adequately developed charging infrastructure. Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage. To make the installation worthwhile for the mostly private operators as well as public...