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WEVJ
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Design Theory, Method and Control of Intelligent and Safe Vehicles
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Design Theory, Method and Control of Intelligent and Safe Vehicles

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 5329

Special Issue Editors

Dr. Yaoji Deng

E-Mail Website
Guest Editor
College of Mechanical Engineering, Yangzhou University, Yangzhou, China
Interests: non-pneumatic tyre; intelligent vehicle
Dr. Xinglong Zhang

E-Mail Website
Guest Editor
School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, China
Interests: personalized motion control; human-machine shared control
Dr. Fen Lin

E-Mail Website
Guest Editor
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: autonomous decision-making and motion control; integrated control technology of vehicle dynamics and chassis

Special Issue Information

Dear Colleagues,

Electrification, intelligence, and networking have become the main development directions of modern automotive technology. Intelligent networked electric vehicles can effectively improve the traffic efficiency, economy, and safety of the transportation system through collaborative control between the vehicle and the vehicle road. In the near future, intelligent driving electric vehicles will occupy a leading position in the automotive field. While looking forward to the bright future, we should also understand that the intelligent driving system remains incomplete. Under complex traffic conditions, the system does not have the ability of human drivers to flexibly handle unknown situations, and the vehicle may lose stability. Therefore, improving the stability and safety of intelligent electric vehicles in different working conditions has become the core issue to be solved. One of the objectives of smart and safe electric vehicles is to achieve “zero casualties”. Based on advanced material structure and artificial intelligence technology, intelligent and safe electric vehicles have active and passive safety protection capabilities, intelligent decision-making capabilities and driving data connectivity capabilities that traditional vehicles do not have, which are the ultimate solutions to traffic accidents.

Dr. Yaoji Deng
Dr. Xinglong Zhang
Dr. Fen Lin
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

  • active and passive safety intelligent control and execution
  • intelligent decision and planning
  • driving behavior and man–machine co-driving
  • state estimation and recognition
  • fault diagnosis and control
  • vibration and noise
  • intelligent driving safety
  • assisted driving
  • environment perception

Published Papers (4 papers)

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Research

17 pages, 4772 KiB  
Article
Research on the Stability Control Strategy of High-Speed Steering Intelligent Vehicle Platooning
by Guangbing Xiao, Zhicheng Li, Ning Sun and Yong Zhang
World Electr. Veh. J. 2024, 15(4), 169; https://doi.org/10.3390/wevj15040169 - 18 Apr 2024
Viewed by 231
Abstract
Based on an investigation of how vehicle structural characteristics and system parameters influence the motion stability of high-speed steering intelligent vehicle platooning, a control strategy for ensuring motion stability is proposed. This strategy is based on a virtual articulated concept and is validated [...] Read more.
Based on an investigation of how vehicle structural characteristics and system parameters influence the motion stability of high-speed steering intelligent vehicle platooning, a control strategy for ensuring motion stability is proposed. This strategy is based on a virtual articulated concept and is validated using both characteristic equation analysis and time domain analysis methods. To create a system, any two adjacent front and rear vehicles in the intelligent vehicle platooning are connected using a virtual articulated model constructed through the virtual structure method. A ten-degrees-of-freedom model of the intelligent vehicle platooning system is established, taking into account the nonlinearities of the tire and steering systems, utilizing the principles of the second Lagrange equation theory. The system damping ratio is determined through characteristic equation analysis, and the system’s dynamic critical speed is assessed by examining the relationship between the damping ratio and the motion stability of the intelligent vehicle platooning, serving as an indicator of system stability. By applying sensitivity analysis, control variable analysis, and time domain analysis methods, the influence of vehicle structural characteristics and system parameters on the system’s dynamic critical speed and motion stability under lateral disturbances within the intelligent vehicle platooning is thoroughly investigated, thereby validating the soundness of the proposed control strategy. Full article
(This article belongs to the Special Issue Design Theory, Method and Control of Intelligent and Safe Vehicles)
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15 pages, 7215 KiB  
Article
Numerical Simulation of Aerodynamic Characteristics of Electric Vehicles with Battery Packs Mounted on Chassis
by Yaoji Deng, Keyu Lu, Tao Liu, Xufei Wang, Hui Shen and Junjie Gong
World Electr. Veh. J. 2023, 14(8), 216; https://doi.org/10.3390/wevj14080216 - 13 Aug 2023
Viewed by 1431
Abstract
Aerodynamic characteristics are of great significance to the fuel economy and handling the stability of electric vehicles. The battery pack of electric vehicles has a huge structure and is usually arranged in the chassis area of the vehicle, which inevitably occupies the space [...] Read more.
Aerodynamic characteristics are of great significance to the fuel economy and handling the stability of electric vehicles. The battery pack of electric vehicles has a huge structure and is usually arranged in the chassis area of the vehicle, which inevitably occupies the space at the bottom of the vehicle and affects the aerodynamic characteristics of the vehicle. To study the effect of the power battery pack installed in the chassis on the aerodynamics characteristics of the electric vehicle, the Computational Fluid Dynamics (CFD) method is used to study the flow and pressure fields of the SAE (Society of Automotive Engineers) hierarchical car model with battery packs mounted on chassis. The influence of the structure parameters of the battery pack on the automobile’s aerodynamics are also analyzed in detail. Based on the simulation results, it can be seen that the battery pack installed on the chassis has a great impact on the flow and pressure field at the bottom and tail of the vehicle, causing the drag coefficient and lift coefficient to increase. The structural parameters of the battery pack have contradictory effects on the drag and lift coefficients. As the length of the battery pack increases, the drag coefficient decreases, and the lift coefficient increases. As the battery pack width and height increase, the drag coefficient increases, and the lift coefficient decreases. The research results provide a reference for the optimization of the aerodynamic characteristics of electric vehicles with battery packs mounted on chassis. Full article
(This article belongs to the Special Issue Design Theory, Method and Control of Intelligent and Safe Vehicles)
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22 pages, 8972 KiB  
Article
Personalized Collision Avoidance Control for Intelligent Vehicles Based on Driving Characteristics
by Haiqing Li, Lina Gao, Xiaoyu Cai and Taixiong Zheng
World Electr. Veh. J. 2023, 14(6), 158; https://doi.org/10.3390/wevj14060158 - 14 Jun 2023
Cited by 1 | Viewed by 1101
Abstract
Collision avoidance has been widely researched in the field of intelligent vehicles (IV). However, the majority of research neglects the individual driver differences. This paper introduced a novel personalized collision avoidance control (PCAC) strategy for IV based on driving characteristics (DC), which can [...] Read more.
Collision avoidance has been widely researched in the field of intelligent vehicles (IV). However, the majority of research neglects the individual driver differences. This paper introduced a novel personalized collision avoidance control (PCAC) strategy for IV based on driving characteristics (DC), which can better satisfy various scenarios and improve drivers’ acceptance. First, the driver’s DC is initially classified into four types using K-means clustering, followed by the application of the analytic hierarchy process (AHP) method to construct the DC identification model for the PCAC design. Then, a novel PCAC is integrated with a preview-follower control (PFC) module, an active rear steering (ARS) module, and a forward collision control (FCC) module to ensure individual requirements and driving stability. Moreover, simulations verified the validity of the developed PCAC in terms of path tracking, lateral acceleration, and yaw rate. The research results indicate that DC can be identified effectively through APH, and PCAC based on DC can facilitate the development of intelligent driving vehicles with superior human acceptance performance. Full article
(This article belongs to the Special Issue Design Theory, Method and Control of Intelligent and Safe Vehicles)
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19 pages, 3188 KiB  
Article
Research on Collision Avoidance Systems for Intelligent Vehicles Considering Driver Collision Avoidance Behaviour
by Guosi Liu, Shaoyi Bei, Bo Li, Tao Liu, Walid Daoud, Haoran Tang, Jinfei Guo and Zhaoxin Zhu
World Electr. Veh. J. 2023, 14(6), 150; https://doi.org/10.3390/wevj14060150 - 06 Jun 2023
Cited by 1 | Viewed by 1938
Abstract
In this paper, a new collision avoidance switching system is proposed to address the lack of adaptability of intelligent vehicles under different collision avoidance operating conditions. To ensure the rationality of the collision avoidance switching strategy for intelligent vehicles, the NGSIM road dataset [...] Read more.
In this paper, a new collision avoidance switching system is proposed to address the lack of adaptability of intelligent vehicles under different collision avoidance operating conditions. To ensure the rationality of the collision avoidance switching strategy for intelligent vehicles, the NGSIM road dataset is introduced to analyse the driver’s collision avoidance behaviour, and a two-layer fuzzy controller considering the overlap rate is established to design the collision avoidance switching strategy. In order to achieve real-time collision avoidance system activation, a lane change collision avoidance model based on MPC control is also developed. Finally, a simulation environment was created using Matlab/CarSim for simulation verification. The simulation results show that the collision avoidance switching system is more responsive and has a shorter start-up distance and is more adaptable to different driving conditions. Full article
(This article belongs to the Special Issue Design Theory, Method and Control of Intelligent and Safe Vehicles)
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