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WEVJ
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Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles
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Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 4416

Special Issue Editors

Dr. Junnian Wang

E-Mail Website
Guest Editor
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Interests: vehicle dynamics and control; energy management for electric vehicles; design of intelligent electrified chassis
Special Issues, Collections and Topics in MDPI journals
Dr. Hongqing Chu

E-Mail Website
Guest Editor
School of Automotive Studies, Tongji University, Shanghai 201804, China
Interests: optimal control of intelligent vehicles; advanced motion control of electrified chassis; advanced driving assistance system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of intelligent electrified vehicles (IEVs), outstanding performance and fast response requirements are put forward for advanced chassis control systems. Distributed drive systems, steering-by-wire systems, active suspension systems, electro-hydraulic or electro-mechanical braking systems can all effectively empower the improvement of chassis dynamics control performance. The actuator response control of these chassis actuator systems themselves and their integrated application control of the entire vehicle are currently hot research issues in the context of new electronic and electrical architecture.

The aim of the Special Issue is to report the latest academic research results, including innovative technical research, engineering developments cases, technical reviews, as well as analytical and assessment papers from different disciplines that are relevant to the topic of chassis-by-wire technologies for future intelligent electric vehicle applications. Hence, both regular technical articles and review articles are welcomed. The scope of the research topic includes but not limited to:

  • Design and dynamics modeling of active chassis actuator systems;
  • Dynamic response analysis and control of active chassis actuators;
  • Smart actuators’ advanced control for synthesizing efficiency and functional safety;
  • Driving/braking force allocation and vehicle dynamics performance evaluation;
  • Chassis dynamics control systems coordination and integration of IEVs;
  • Decision making and trajectory planning in complex and urgent scenarios;
  • State estimation and parameter identification for advanced motion control.

Dr. Junnian Wang
Dr. Hongqing Chu
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.

Published Papers (4 papers)

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Research

19 pages, 24649 KiB  
Article
Personalized Path-Tracking Approach Based on Reference Vector Field for Four-Wheel Driving and Steering Wire-Controlled Chassis
by Changhua Dai, Changfu Zong, Dong Zhang, Hongyu Zheng, Chuyo Kaku, Dingheng Wang and Kai Zhao
World Electr. Veh. J. 2024, 15(5), 198; https://doi.org/10.3390/wevj15050198 - 3 May 2024
Viewed by 423
Abstract
It is essential and forward-thinking to investigate the personalized use of four-wheel driving and steering wire-controlled unmanned chassis. This paper introduces a personalized path-tracking approach designed to adapt the vehicle’s control system to human-like characteristics, enhancing the fit and maximizing the potential of [...] Read more.
It is essential and forward-thinking to investigate the personalized use of four-wheel driving and steering wire-controlled unmanned chassis. This paper introduces a personalized path-tracking approach designed to adapt the vehicle’s control system to human-like characteristics, enhancing the fit and maximizing the potential of the chassis’ multi-directional driving and steering capabilities. By modifying the classic vehicle motion controller design, this approach aligns with individual driving habits, significantly improving upon traditional path-tracking control methods that rely solely on reference vector fields. First, the classic reference vector field’s logic was expanded upon, and it is shown that a personalized upgrade is feasible. Then, driving behavior data from multiple drivers were collected using a driving simulator. The fuzzy c-means clustering method was used to categorize drivers based on typical states that match vehicle path-tracking performance. Additionally, the random forest algorithm was used as the method for recognizing driving style. Subsequently, a personalized path-tracking control strategy based on the reference vector field was developed and a distributed execution architecture for four-wheel driving and steering wire-controlled unmanned chassis was established. Finally, the proposed personalized path-tracking approach was validated using a driving simulator. The results of the experimental tests demonstrated that the personalized path-tracking control approach not only fits well with various driving styles but also delivers high accuracy in driving style identification, making it highly suitable for application in four-wheel driving and steering wire-controlled chassis. Full article
(This article belongs to the Special Issue Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles)
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18 pages, 6652 KiB  
Article
Position Estimation Method for Unmanned Tracked Vehicles Based on a Steering Dynamics Model
by Weijian Jia, Xixia Liu, Chuanqing Zhang, Dabing Xue and Shaoliang Zhang
World Electr. Veh. J. 2024, 15(3), 120; https://doi.org/10.3390/wevj15030120 - 21 Mar 2024
Viewed by 828
Abstract
A position estimation method for unmanned tracked vehicles based on a steering dynamics model was developed during this study. This method can be used to estimate the position of a tracked vehicle in real time without relying on a high-precision positioning system. First, [...] Read more.
A position estimation method for unmanned tracked vehicles based on a steering dynamics model was developed during this study. This method can be used to estimate the position of a tracked vehicle in real time without relying on a high-precision positioning system. First, the relationship between the shear displacement of the track relative to the ground and the speed and yaw rate of the tracked vehicle during the steering process was analyzed. Next, the steering force of the tracked vehicle was calculated by using the shear force–displacement theory, and a steering dynamics model considering the acceleration of the vehicle was established. The experimental results show that this steering dynamics model produced more accurate position estimations for an unmanned tracked vehicle than did the kinematics model. This method can serve as a reference for the positioning of unmanned tracked vehicles working in special environments that cannot use precise positioning systems. Full article
(This article belongs to the Special Issue Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles)
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15 pages, 3425 KiB  
Article
Research on Cooperative Control of Multiple Intelligent Networked Vehicles Based on the Improved Leader–Follower Method
by Jingyue Wang, Yanchang Lv, Xiaomeng Shan, Haotian Wang and Junnian Wang
World Electr. Veh. J. 2024, 15(2), 73; https://doi.org/10.3390/wevj15020073 - 18 Feb 2024
Viewed by 976
Abstract
In order to study the group cooperative control method of multiple intelligent networked vehicles, the multiple intelligent networked vehicles can move in the form of a fleet. Based on the leader–follower method, the paper optimizes the control effect of the leader–follower method by [...] Read more.
In order to study the group cooperative control method of multiple intelligent networked vehicles, the multiple intelligent networked vehicles can move in the form of a fleet. Based on the leader–follower method, the paper optimizes the control effect of the leader–follower method by solving the error transmission phenomenon in the leader–follower method. In this paper, the modeling of the multiple intelligent connected vehicle adopts the vehicle dynamics model and the Magic Formula/Swift Magic tire model, and adopts the model predictive control (MPC) dynamics trajectory tracking controller for control. Through the CarSim–Simulink multi-vehicle dynamics co-simulation platform established in this paper, the group cooperative control experiments of multiple intelligent networked vehicles under different working conditions were carried out for simulation verification. The analysis results show that the maximum average error of the proposed method decreases from 8.802 to 0.094 in the case of straight line and 0.669 to 0.379 in the case of curve tracking, which proves that the method can effectively reduce the transmission of errors. Full article
(This article belongs to the Special Issue Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles)
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15 pages, 6389 KiB  
Article
Research on Collaborative Control of Differential Drive Assisted Steering and Active Front Steering for Distributed Drive Electric Vehicles
by Zhigang Zhou, Xinqing Ding and Zhichong Shi
World Electr. Veh. J. 2023, 14(10), 292; https://doi.org/10.3390/wevj14100292 - 13 Oct 2023
Viewed by 1437
Abstract
A collaborative control strategy for distributed drive electric vehicles (DDEVs) focusing on differential drive assisted steering (DDAS) and active front steering (AFS) is proposed to address the issues of sudden torque changes, reduced steering characteristics, and weak collaborative control capabilities caused by the [...] Read more.
A collaborative control strategy for distributed drive electric vehicles (DDEVs) focusing on differential drive assisted steering (DDAS) and active front steering (AFS) is proposed to address the issues of sudden torque changes, reduced steering characteristics, and weak collaborative control capabilities caused by the coupling of the AFS and DDAS systems in DDEVs. This paper establishes a coupled dynamic model of the AFS and DDAS systems and, on this basis, designs AFS controllers for yaw velocity feedback control and DDAS controllers for steering wheel torque control, respectively. Additionally, it analyzes the interference factors of the two control systems and develops a collaborative control strategy for DDAS and AFS; this control strategy establishes a corner motor correction module, steering wheel torque correction module, and assistance correction module. Co-simulation is carried out on Matlab/Simulink and the Carsim platform to verify the correctness of the model under typical working conditions; to reduce the sudden change in the steering wheel torque caused by AFS additional angle interventions; to improve the poor steering characteristics caused by DDAS, introducing additional yaw torque; to greatly enhance the collaborative control effect; and to meet the requirements for vehicle handling stability, portability, and safety. Full article
(This article belongs to the Special Issue Dynamics Modelling and Control of Electrified Chassis for Intelligent Vehicles)
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