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Advanced Design Theory and Methods of Intelligent Electric Vehicle Chassis
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Advanced Design Theory and Methods of Intelligent Electric Vehicle Chassis

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 1315

Special Issue Editors

Dr. Yaoji Deng

E-Mail Website
Guest Editor
College of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China
Interests: non-pneumatic tyre; intelligent vehicle
Special Issues, Collections and Topics in MDPI journals
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 Issues, Collections and Topics in MDPI journals
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
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid advancement in technologies like artificial intelligence and next-generation information technology, electric vehicles are increasingly becoming platforms for the integration of new technologies, driving their shift toward greater intelligence. Intelligent chassis, as the foundation for automotive power and cabin systems, are central to full electrification and intelligent integration of vehicles, enabling the mass adoption of advanced autonomous driving technologies. They play a crucial role in the platformization and modular design of vehicles, contributing to the safe, reliable, energy-efficient, and low-carbon development of intelligent vehicles.

This Special Issue focuses on key technologies related to intelligent chassis components, overall system design, switching control, health status management, and development and testing.

Dr. Yaoji Deng
Dr. Fen Lin
Dr. Xinglong Zhang
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 electric chassis
  • intelligent tire
  • active and passive safety
  • intelligent control and execution
  • state estimation and recognition
  • fault diagnosis and control
  • vibration and noise
  • health management technology
  • chassis development and testing

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

Published Papers (3 papers)

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Research

27 pages, 5521 KiB  
Article
Investigation of the Smoothness of an Intelligent Chassis in Electric Vehicles
by Chuzhao Ma, Zhengyi Wang, Ti Wu and Jintao Su
World Electr. Veh. J. 2025, 16(4), 219; https://doi.org/10.3390/wevj16040219 - 6 Apr 2025
Viewed by 286
Abstract
This study examines the smoothness of an intelligent chassis for electric vehicles, analyzes the chassis structure and configuration, and considers the impacts of the primary energy subsystem, electric drive subsystem, and auxiliary control subsystem on smoothness. The influence of suspension parameters on smoothness [...] Read more.
This study examines the smoothness of an intelligent chassis for electric vehicles, analyzes the chassis structure and configuration, and considers the impacts of the primary energy subsystem, electric drive subsystem, and auxiliary control subsystem on smoothness. The influence of suspension parameters on smoothness is examined, highlighting the significance of elastic element stiffness and the shock absorber damping ratio. Dynamic models of quarter- and half-car suspension systems, as well as a comprehensive nine-degree-of-freedom vehicle model, are developed to examine the vibration characteristics under varying road conditions. The chassis suspension dynamic model is developed, simulated, and analyzed using ADAMS/View software 2024. The suspension damping value is optimized with the ADAMS/PostProcessor tool, revealing that smoothness can be enhanced by judiciously decreasing the damping value. The article discusses the human body’s reaction to vibration and assessment metrics, referencing worldwide standards to establish a foundation for evaluation. The study offers theoretical backing for the design and optimization of an intelligent chassis, hence advancing the technological development of electric vehicles. Full article
(This article belongs to the Special Issue Advanced Design Theory and Methods of Intelligent Electric Vehicle Chassis)
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15 pages, 5016 KiB  
Article
Performance Analysis of Seat Inertial Suspension Vibration Suppression and Energy Harvesting for Electric Commercial Vehicles
by Haiting Wang, Senlei Ma, Yu Peng and Changning Liu
World Electr. Veh. J. 2025, 16(4), 216; https://doi.org/10.3390/wevj16040216 - 5 Apr 2025
Viewed by 250
Abstract
This study examines the efficacy of a seat inertial suspension system in relation to vibration isolation and energy recovery in electric commercial vehicles. The research focuses on the structural modifications of the suspension system that arise from the incorporation of an inerter, a [...] Read more.
This study examines the efficacy of a seat inertial suspension system in relation to vibration isolation and energy recovery in electric commercial vehicles. The research focuses on the structural modifications of the suspension system that arise from the incorporation of an inerter, a novel vibration isolation component. A dynamic model of the seat inertial suspension is constructed, which includes two different structures consisting of components connected in parallel and in series. The analysis explores how the absorption of suspension parameters affects both seat comfort and the characteristics of energy harvesting. Furthermore, an optimal design methodology for the seat inertial suspension is proposed, seat comfort and energy recovery efficiency are also taken into consideration. The findings reveal that the parallel-structured seat inertial suspension system demonstrates superior overall performance. Specifically, it achieves a 36.6% reduction in seat acceleration, a 55.3% decrease in suspension working space, and an energy harvesting efficiency of 41.9%. The seat inertial suspension significantly improves occupant comfort by reducing seat acceleration, significantly reducing the amplitude of seat suspension movement, and recovering most of the seat suspension’s vibration energy, in comparison to traditional seat suspension systems. Full article
(This article belongs to the Special Issue Advanced Design Theory and Methods of Intelligent Electric Vehicle Chassis)
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15 pages, 1987 KiB  
Article
Optimization of Traction Electric Drive with Frequency Control
by Vladimir Kodkin, Alexander Anikin and Alexander Baldenkov
World Electr. Veh. J. 2025, 16(3), 139; https://doi.org/10.3390/wevj16030139 - 1 Mar 2025
Viewed by 504
Abstract
Traction motors in electric transport are most often synchronous permanent magnet motors (PMSMs). Induction motors (IMs) have large dimensions and stator current amplitudes under comparable loads. Traditional IM control methods do not solve these problems. Recent studies have shown that by changing the [...] Read more.
Traction motors in electric transport are most often synchronous permanent magnet motors (PMSMs). Induction motors (IMs) have large dimensions and stator current amplitudes under comparable loads. Traditional IM control methods do not solve these problems. Recent studies have shown that by changing the main magnetic flux in the IM in accordance with the load, these characteristics of the asynchronous electric drive can be significantly improved. Standard frequency converters do not allow for the implementation of these algorithms. But it makes sense to conduct a potential assessment of the capabilities of this algorithm to reduce the total stator currents of traction IMs. This article analyzes the results of real tests of a special vehicle for transporting rock inside mines, conducted several years ago at a mining equipment plant and in several mines in Russia. The prototype of the special transport vehicle has a load capacity of 15 tons, and its traction electric drive is based on four motor wheels with a total power of 100 kW and a frequency converter from the company “Vacon” (Vaasa, Finland). The tests were conducted at the plant’s testing ground and in real mine conditions. These tests allowed us to obtain information about the operation of the asynchronous electric drive under dynamically changing loads in a wide range, which is very difficult to obtain on laboratory benches or in industrial enterprise conditions. The experiments confirmed the efficiency of the optimization algorithm for asynchronous electric drives with frequency control. At the same time, the weight, size, and electrical parameters of the drive are as close as possible to those of direct current drives. Full article
(This article belongs to the Special Issue Advanced Design Theory and Methods of Intelligent Electric Vehicle Chassis)
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