Modeling and Control for Chassis Devices in Electric Vehicles

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuators for Land Transport".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 836

Special Issue Editors


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Guest Editor
Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 139-743, Republic of Korea
Interests: vehicle dynamics and control; state and parameter estimation; steer-by-wire; integrated chassis control with V2X communication
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Guest Editor
School of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Gyeongbuk, Republic of Korea
Interests: vehicle dynamics and motion control; in-wheel-motor EV; steer-by-wire system control; traction control and stability control of EVs
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

You are invited to submit papers to a Special Issue of Actuators on “Modeling and Control for Chassis Devices in Electric Vehicles”. The most notable innovation in electric vehicles (EVs) is the electric power source. The electric power common in EVs has changed classical chassis devices such as steering, braking and suspension in vehicles with a internal combustion engine. This trend requires new modeling and control techniques with motor-driven actuators for EVs. A representative example is in-wheel motors or the e-corner module, equipped with an electro-mechanical brake (EMB), motor-driven active suspension and steer-by-wire devices. These devices and their combinations can be used for specialized functions such as ABS, TCS, ESC and rollover prevention control. In addition to the control of each device in EVs, it is also necessary to integrate them for path tracking, vehicle stability and ride comfort enhancement. In addition to those devices themselves, the modeling and control of sensors and actuators used for those devices are also needed. All these factors should be properly considered in studies on modeling and control for chassis devices in EVs.The topics that will be considered include, but are not limited to, the following:

  • Modeling on new types of actuators for EVs;
  • State and parameter estimation for EVs;
  • Motor-driven ABS, TCS and ESC for EVs;
  • Advanced steering control for EVs;
  • Active/semi-active suspension control for EVs;
  • Coordinated control with multiple actuators for EVs;
  • Path tracking control with multiple actuators for EVs;
  • Energy-saving control and optimization for EVs;
  • Fault-tolerant control for EVs

This topic will handle issues in the modeling and control of actuators, which originate from chassis devices such as the electro-mechanical brake, motor-driven active suspension and steer-by-wire. These devices should be controlled for specialized functions such as ABS, TCS, ESC and rollover prevention in real electric vehicles. For the reason, this topic fits well in the scope of “Actuators”.

Dr. Seong** Yim
Dr. Kanghyun Nam
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Actuators 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 2400 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

  • vehicle chassis devices
  • dynamic modeling and control
  • state/parameter estimation
  • coordinated control
  • fault-tolerant control
  • ride comfort

Published Papers (1 paper)

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Research

15 pages, 7346 KiB  
Article
Dynamic Modeling and Control of a 4-Wheel Narrow Tilting Vehicle
by Sunyeop Lee, Hyeonseok Cho and Kanghyun Nam
Actuators 2024, 13(6), 210; https://doi.org/10.3390/act13060210 - 4 Jun 2024
Viewed by 465
Abstract
The automotive industries currently face challenges such as emission limits, traffic congestion, and limited parking, which have prompted shifts in consumer preferences and modern passenger vehicle requirements towards compact vehicles. However, given the inherent limited width of compact vehicles, the potential risk of [...] Read more.
The automotive industries currently face challenges such as emission limits, traffic congestion, and limited parking, which have prompted shifts in consumer preferences and modern passenger vehicle requirements towards compact vehicles. However, given the inherent limited width of compact vehicles, the potential risk of vehicle rollover is greater than that of regular vehicles. This paper addresses the safety concerns associated with vehicle rollover, focusing on narrow tilting vehicles (NTVs). Quantifying stability involves numerical indicators such as the lateral load transfer ratio (LTR). Additionally, a unique approach is taken by applying ZMP (zero moment point), commonly used in the robotics field, as an indicator of vehicle stability. Effective roll control requires a detailed analysis of the vehicle’s characteristic model and the derivation of lateral and roll dynamics. The paper presents the detailed roll dynamics of an NTV with a MacPherson strut-type suspension. A stability-enhancing method is proposed using a cascade structure based on the internal robust position controller and outer roll stability controller, addressing challenges posed by disturbances. Experimental verification using Simscape Multibody and CarSim validates the dynamic model and controller’s effectiveness, ensuring the reliability of the proposed tilting control for NTVs in practical scenarios. Full article
(This article belongs to the Special Issue Modeling and Control for Chassis Devices in Electric Vehicles)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Dynamic Envelope Optimization of Multi-Axle Vehicles Based on Coordinated Steering Control Strategies
Authors: Zhaocong Sun; Wenjun Wang; Joshua Meng
Affiliation: Tsinghua University; University of California, Berkeley
Abstract: The technique of steer-by-wire, essential for autonomous driving, enables multi-axle and multi-wheel turns on modern chassis to facilitate two typical applications. First, it allows vehicles to navigate through challenging conditions like tight turns and narrow lanes. Second, it enhances the road access of articulated vehicles with a shrunken lateral turning offset compared to the traditional single-axle steering structure. The performance of lateral offset during vehicle turns is defined as the vehicle dynamic envelope, which is analyzed through numerical optimization and dynamic simulations. The paper compared the dynamic envelope results across using various coordinated control strategies for single-body and articulated vehicles, demonstrating the impact of multi-axle steering control on road access capabilities. Additionally, the study provided insights into designing autonomous-driving turning trajectories and the corresponding dedicated road layouts.

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