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WEVJ
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Intelligent Electric Vehicle Control, Testing and Evaluation
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Intelligent Electric Vehicle Control, Testing and Evaluation

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

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1755

Special Issue Editors

Dr. Yong Li

E-Mail Website
Guest Editor
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China
Interests: motor control and thermal management; vehicle dynamics and control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hongyu Zheng

E-Mail Website
Guest Editor
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
Interests: dynamic simulation and control of automotive intelligent chassis
Prof. Dr. Tianjun Zhu

E-Mail Website
Guest Editor
Department of Mechanical and Automotive Engineering, Zhaoqing University, Zhaoqing, China
Interests: autonomous driving decision control; vehicle dynamics control
Prof. Dr. Zhifu Wang

E-Mail Website
Guest Editor
School of Mechanical Engineering and the National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing, China
Interests: motor driver; design of power systems for vehicles
Dr. Hongliang Wang

E-Mail Website
Guest Editor
Safety and Intelligence of Vehicle Equipment Research Center, Nanjing University of Science and Technology, Nanjing, China
Interests: intelligent chassis; unmanned vehicles

Special Issue Information

Dear Colleagues,

Electrification, intelligence, and networkization have become the three development directions of the global automobile industry. Intelligent electric vehicles integrate a variety of transformative technologies, such as artificial intelligence, big data, and a new generation of communication and information technology, covering automatic control, computer vision, sensor fusion, vehicle engineering, and other disciplines. Vehicles are gradually evolving from simple transportation to intelligent mobile terminals. Intelligent networked electric vehicles can not only provide different functions and services, but also bring disruptive changes to vehicle design. Both academia and industry have carried out a large amount of research in the fields of vehicle environment perception and decision, trajectory planning and tracking, algorithm, vehicle dynamics control, electric drive assembly design and control, vehicle thermal management and energy management, vehicle chassis design and control, etc. However, there is still a huge unexplored space in the new configuration design and new function realization of intelligent electric vehicles.

Dr. Yong Li
Prof. Dr. Hongyu Zheng
Prof. Dr. Tianjun Zhu
Prof. Dr. Zhifu Wang
Dr. Hongliang Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • intelligent unmanned vehicle tracking technology
  • obstacle detection and high-precision map construction technology
  • unmanned vehicle dynamics control technology
  • multi-sensor information perception and fusion technology
  • intelligent vehicle decision and control technology
  • intelligent wire chassis development and collaborative control technology
  • advanced electric drive system design and control technology
  • intelligent vehicle energy management technology
  • intelligent vehicle thermal management technology

Published Papers (2 papers)

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Research

15 pages, 6034 KiB  
Article
Distributed-Drive Vehicle Lateral-Stability Coordinated Control Based on Phase-Plane Stability Region
by Jun Liu and Ang Dai
World Electr. Veh. J. 2024, 15(5), 202; https://doi.org/10.3390/wevj15050202 - 7 May 2024
Viewed by 283
Abstract
The lateral stability control of vehicles is one of the most crucial aspects of vehicle safety. This article introduces a coordinated-control strategy designed to enhance the handling stability of distributed-drive electric vehicles. The upper controller uses active front steering and direct yaw moment-control [...] Read more.
The lateral stability control of vehicles is one of the most crucial aspects of vehicle safety. This article introduces a coordinated-control strategy designed to enhance the handling stability of distributed-drive electric vehicles. The upper controller uses active front steering and direct yaw moment-control controllers designed based on sliding-mode control theory. The lower controller optimally allocates control inputs to the upper controller, considering factors such as load transfer and tire load rate. It divides the stability region by relying on the phase plane and develops a coordinated-control strategy based on the degree of deviation of the vehicle state from the stability region. The results of the simulation experiments demonstrate that the proposed control strategy effectively improves handling stability under extreme working conditions. Full article
(This article belongs to the Special Issue Intelligent Electric Vehicle Control, Testing and Evaluation)
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18 pages, 4891 KiB  
Article
Integrated Path Following and Lateral Stability Control of Distributed Drive Autonomous Unmanned Vehicle
by Feng Zhao, Jiexin An, Qiang Chen and Yong Li
World Electr. Veh. J. 2024, 15(3), 122; https://doi.org/10.3390/wevj15030122 - 21 Mar 2024
Cited by 2 | Viewed by 958
Abstract
Intelligentization is the development trend of the future automobile industry. Intelligentization requires that the dynamic control of the vehicle can complete the trajectory tracking according to the trajectory output of the decision planning the driving state of the vehicle and ensure the driving [...] Read more.
Intelligentization is the development trend of the future automobile industry. Intelligentization requires that the dynamic control of the vehicle can complete the trajectory tracking according to the trajectory output of the decision planning the driving state of the vehicle and ensure the driving safety and stability of the vehicle. However, trajectory limit planning and harsh road conditions caused by emergencies will increase the difficulty of trajectory tracking and stability control of unmanned vehicles. In view of the above problems, this paper studies the trajectory tracking and stability control of distributed drive unmanned vehicles. This paper applies a hierarchical control framework. Firstly, in the upper controller, an adaptive prediction time linear quadratic regulator (APT LQR) path following algorithm is proposed to acquire the desired front-wheel-steering angle considering the dynamic stability performance of the tires. The lateral stability of the DDAUV is determined based on the phase plane, and the sliding surface, in the improved sliding mode control (SMC), is further dynamically adjusted to obtain the desired additional yaw moment for coordinating the path following and lateral stability. Then, in the lower controller, considering the slip and the working load of four tires, a comprehensive cost function is established to reasonably distribute the driving torque of four in-wheel motors (IWMs) for producing the desired additional yaw moment. Finally, the proposed control algorithm is verified by the hardware-in-the-loop (HIL) experiment platform. The results show the path following and lateral stability can be coordinated effectively under different driving conditions. Full article
(This article belongs to the Special Issue Intelligent Electric Vehicle Control, Testing and Evaluation)
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