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Vehicle System Dynamics and Intelligent Control for Electric Vehicles
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Vehicle System Dynamics and Intelligent Control for Electric Vehicles

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

Deadline for manuscript submissions: 31 January 2025 | Viewed by 7634

Special Issue Editors

Dr. Leilei Zhao

E-Mail Website
Guest Editor
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Interests: vehicle engineering; vibration mechanics
Special Issues, Collections and Topics in MDPI journals
Dr. Liguo Zang

E-Mail Website
Guest Editor
School of Automobile and Rail Transportation, Nanjing Institute of Technology, Nanjing 211167, China
Interests: vehicle dynamics; new energy vehicles and intelligent technology
Special Issues, Collections and Topics in MDPI journals
Dr. Yuewei Yu

E-Mail Website
Guest Editor
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China
Interests: vehicle engineering; vibration mechanics
Dr. Jian Wang

E-Mail Website
Guest Editor
College of Automotive Engineering, Shandong Jiaotong University, Jinan, China
Interests: vehicle engineering; vibration mechanics

Special Issue Information

Dear Colleagues,

In the future intelligent field, electric vehicles are the actual executors. It is the physical carrier of artificial intelligence and the new generation of information technology. With the rapid development of the new generation of information technology, vehicle engineering has been integrated with many new technological elements. The cross-fusion application of various technologies has become the focus of attention in the research field of electric vehicle system dynamics and control. Moreover, relevant innovative application cases and innovative talent cultivation have contributed to the development of electric vehicle dynamics and control. This Special Issue emphasizes the theoretical background of research and development problems of all kinds of electric vehicles. Topics of interest include, but are not limited to:

  • Dynamics of electric vehicle systems and their components.
  • Computer-aided modeling and simulation, validation, parameter identification, and testing.
  • Electric vehicle interactions with the environment including tire-ground behavior.
  • Artificial intelligence and new generation information technology in electric vehicle engineering.
  • Innovative educational models and cases in electric vehicle engineering.
  • Interdisciplinary problems in electric vehicle engineering.
  • Innovative technical products and applications of intelligent design in electric vehicle engineering.
  • Innovative technology products and applications of intelligent manufacturing in electric vehicle engineering.

Dr. Leilei Zhao
Dr. Liguo Zang
Dr. Yuewei Yu
Dr. Jian 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

  • electric vehicle system dynamics
  • artificial intelligence
  • new generation of information technology
  • interdisciplinary
  • education mode
  • intelligent design
  • intelligent manufacturing
  • intelligent control

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

14 pages, 5160 KiB  
Article
Height Control Strategy Design and Simulation of Electronic Control Air Suspension for Trucks
by Hao Zhang, Hao Zhang, Leilei Zhao, Chuanjin Ou, Yuechao Liu and Xiyu Shan
World Electr. Veh. J. 2024, 15(6), 273; https://doi.org/10.3390/wevj15060273 - 20 Jun 2024
Viewed by 639
Abstract
To address the large height error and attitude destabilization phenomenon in regulating the frame height of trucks with electronic control air suspension (ECAS), a height control strategy was designed. Firstly, the fundamental principles of height control were elucidated based on the single degree-of-freedom [...] Read more.
To address the large height error and attitude destabilization phenomenon in regulating the frame height of trucks with electronic control air suspension (ECAS), a height control strategy was designed. Firstly, the fundamental principles of height control were elucidated based on the single degree-of-freedom (DOF) vehicle model. The limitations of the classic non-linear mathematical model for the air spring were also highlighted. Thus, a dynamic model was constructed, consisting of an AEMSim model for the ECAS and a Simulink model for the truck. A frame height fuzzy controller was designed based on the fuzzy control theory to improve the height control accuracy and to solve the control conflict problem of the solenoid valves. Additionally, three typical control modes of the height and corresponding control strategies were proposed based on the practical requirements of usage scenarios for trucks. Finally, dynamic simulations were conducted under different modes. The results show that, compared to the existing switching control method, the proposed control approach can reduce height control errors by an order of magnitude and decrease the pitch angle by over 30%. The steady-state error remains nearly unchanged under the 30% variation of the sprung mass. The proposed control approach exhibits the superior control performance and robustness. It effectively reduces height errors and avoids the posture instability during the adjustment of the ECAS. Full article
(This article belongs to the Special Issue Vehicle System Dynamics and Intelligent Control for Electric Vehicles)
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13 pages, 4092 KiB  
Article
Research on Stability Control of Distributed Drive Vehicle with Four-Wheel Steering
by Jiahao Zhang, Chengye Liu, Jingbo Zhao and Haimei Liu
World Electr. Veh. J. 2024, 15(6), 228; https://doi.org/10.3390/wevj15060228 - 23 May 2024
Viewed by 899
Abstract
The four-wheel steering distributed drive vehicle is a novel type of vehicle with independent control over the four-wheel angle and wheel torque. A method for jointly controlling the distribution of the wheel angle and torque is proposed based on this characteristic. Firstly, the [...] Read more.
The four-wheel steering distributed drive vehicle is a novel type of vehicle with independent control over the four-wheel angle and wheel torque. A method for jointly controlling the distribution of the wheel angle and torque is proposed based on this characteristic. Firstly, the two-degrees-of-freedom model and ideal reference model of four-wheel steering vehicle are established; then, the four-wheel steering controller and torque distribution controller are designed. The rear wheel angle is controlled by the feedforward controller and the feedback controller. The feedforward controller takes the side slip angle of the center of mass as the control target, and the feedback controller takes the yaw angle as the control target. Torque is controlled by two control layers, the additional yaw moment of the upper layer is calculated by the vehicle motion state and fuzzy control theory, and the lower layer distributes wheel torque through the road adhesion coefficient and wheel load. Finally, a simulation platform is established to verify the effectiveness of the proposed control algorithm. Full article
(This article belongs to the Special Issue Vehicle System Dynamics and Intelligent Control for Electric Vehicles)
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33 pages, 21932 KiB  
Article
Decoupling Control of Yaw Stability of Distributed Drive Electric Vehicles
by Weijun Wang, Zefeng Liu, Songlin Yang, Xiyan Song, Yuanyuan Qiu and Fengjuan Li
World Electr. Veh. J. 2024, 15(2), 65; https://doi.org/10.3390/wevj15020065 - 14 Feb 2024
Viewed by 1382
Abstract
Most of the research on driving stability control of distributed drive electric vehicles is based on a yaw motion design controller. The designed controller can improve the lateral stability of the vehicle well but rarely mentions its changes to the roll and pitch [...] Read more.
Most of the research on driving stability control of distributed drive electric vehicles is based on a yaw motion design controller. The designed controller can improve the lateral stability of the vehicle well but rarely mentions its changes to the roll and pitch motion of the body, and the uneven distribution of the driving force will also cause instability in the vehicle speed, resulting in wheel transition slip, wheel sideslip, and vehicle stability loss. In order to improve the spatial stability of distributed-driven electric vehicles and resolve the control instability caused by their motion coupling, a decoupled control strategy of yaw, roll, and pitch motion based on multi-objective constraints was proposed. The strategy adopts hierarchical control logic. At the upper level, a yaw motion controller based on robust model predictive control, a roll motion controller, and a pitch motion controller based on feedback optimal control are designed. In the lower level, through the motion coupling analysis of the vehicle yaw control process, based on the coupling analysis, the vehicle yaw, roll, and pitch decoupling controller based on multi-objective constraints is designed. Finally, the effectiveness of the decoupling controller is verified. Full article
(This article belongs to the Special Issue Vehicle System Dynamics and Intelligent Control for Electric Vehicles)
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18 pages, 12989 KiB  
Article
Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles
by Bo Zhang, Peilin Shi, Xiangli Mou, Hao Li, Yushuai Zhao and Liaodong Zheng
World Electr. Veh. J. 2023, 14(12), 332; https://doi.org/10.3390/wevj14120332 - 30 Nov 2023
Viewed by 2035
Abstract
In order to simultaneously improve the fuel economy and overall performance of plug-in hybrid electric vehicles (PHEVs), this study selected the P1 + P3 configuration as its research object. Through a configuration analysis of hybrid vehicles, it confirmed the feasibility of P1 + [...] Read more.
In order to simultaneously improve the fuel economy and overall performance of plug-in hybrid electric vehicles (PHEVs), this study selected the P1 + P3 configuration as its research object. Through a configuration analysis of hybrid vehicles, it confirmed the feasibility of P1 + P3 configuration-PHEV operating modes. Based on this, a rule-based control strategy was developed, and simulation models for the entire vehicle and control strategy were constructed in both Cruise and MATLAB/Simulink software. The study conducted simulation analysis by combining three sets of Worldwide Harmonized Light vehicles Test Cycle (WLTC) driving cycles to assess the fuel-saving potential of the dual-motor P1 + P3 configuration. The simulation results showed that the vehicle model was reasonably constructed and the proposed control strategy had good control effects on the entire vehicle. Compared to conventional gasoline vehicles, the P1 + P3 configuration PHEV achieved a 67.4% fuel economy improvement, demonstrating a significant enhancement in fuel efficiency with the introduction of electric motors. Full article
(This article belongs to the Special Issue Vehicle System Dynamics and Intelligent Control for Electric Vehicles)
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18 pages, 7155 KiB  
Article
Parameter Matching of Power Systems and Design of Vehicle Control Strategies for Mini-Electric Trucks
by Jianwei Ma, Fengyi Gu, Ziliang Feng and Shaohang Zhang
World Electr. Veh. J. 2023, 14(8), 207; https://doi.org/10.3390/wevj14080207 - 4 Aug 2023
Viewed by 1143
Abstract
Mini-electric trucks have been widely used because of their high efficiency and zero emission with the rapid development of electronic commerce and express industry. So, improvement of dynamic performance and economy becomes crucial. The research in this field mainly focuses on passenger vehicles [...] Read more.
Mini-electric trucks have been widely used because of their high efficiency and zero emission with the rapid development of electronic commerce and express industry. So, improvement of dynamic performance and economy becomes crucial. The research in this field mainly focuses on passenger vehicles at present. However, most passenger vehicles are front−engine, front-drive vehicles; for mini trucks of front−engine and rear-drive, if the dynamics model of passenger vehicles is applied to mini−electric trucks, the dynamic parameters calculated will not be accurate. To enhance the accuracy of the dynamic parameters of mini-electric trucks, by combining the characteristics of mini trucks, the dynamic parameters are designed, and the types of drive motors and power batteries are selected, the dynamic model of mini−electric trucks is established. To improve the economy, control strategies, with five working modes switching, were established. On this basis, the simulation model is established, and the dynamic and economy simulation analysis and performance test were carried out. In applying the method, the error rate of maximum speed, acceleration time, and maximum gradient between simulation results and test results are 0.641% and 5.63% (15.328%), respectively, proving that the dynamic index has reached the expected value and endurance mileage is up to 295 Km under UDC conditions, increased by 5% after the vehicle control strategy was adopted. The results show that the parameter matching is reasonable and the vehicle control strategy is suitable for mini-electric trucks. The research method and conclusions can provide valuable references for the development of power systems for mini−electric trucks. Full article
(This article belongs to the Special Issue Vehicle System Dynamics and Intelligent Control for Electric Vehicles)
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