Smart Vibration Control and Suspension Systems in Automotive Engineering

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 2176

Special Issue Editor


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Guest Editor
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China
Interests: vehicle system dynamics; road surface information perception; vibration energy regeneration of hybrid vehicles; semi-active suspension for vehicles

Special Issue Information

Dear Colleagues,

Vehicle vibration control and suspension systems are pivotal for safety, stability, and comfort. The rise of electric and autonomous vehicles, coupled with growing demands for energy efficiency and superior ride quality, is accelerating the transition from conventional passive systems to intelligent suspensions. Advances in smart materials, sensors, and data-driven control strategies are enabling highly adaptive and responsive vibration mitigation solutions. These innovations not only enhance dynamic performance and passenger comfort but also contribute to overall vehicle intelligence and sustainability. However, designing more efficient control algorithms, developing intelligent actuators with lower energy consumption, and achieving deep integration of intelligent suspensions with other vehicle dynamic control systems remain critical challenges facing both academia and industry.

This Special Issue, "Smart Vibration Control and Suspension Systems in Automotive Engineering", invites high-quality research and reviews on recent advances and future directions in the field. Topics of interest include, but are not limited to,

  • Active and semi-active suspension systems;
  • Advanced control strategies for active and semi-active suspension systems;
  • Innovative sensor and actuator technologies for smart suspensions;
  • Energy harvesting and energy efficiency management for suspension systems;
  • Integrated vehicle dynamics control;
  • Model-based and data-driven control;
  • Data-driven approaches for suspension performance prediction and fault diagnosis.

Dr. Renkai Ding
Guest Editor

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Keywords

  • smart suspension systems
  • vibration control
  • vehicle dynamics
  • active/semi-active control
  • energy-harvesting
  • advanced control algorithms
  • electric and autonomous vehicles

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Published Papers (2 papers)

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Research

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20 pages, 2106 KB  
Article
Comfort-Oriented Optimization of Speed-Dependent Variable Inertance for Intelligent Vehicle Suspension Systems
by Kah Yin Goh, Ming Foong Soong, Rahizar Ramli and Ahmad Saifizul
Machines 2026, 14(5), 513; https://doi.org/10.3390/machines14050513 - 5 May 2026
Abstract
This paper investigates the performance of a speed-dependent variable inerter in improving vehicle suspension performance. Unlike conventional and passive inerter suspensions with fixed mechanical properties, the proposed speed-dependent variable inerter allows continuous adjustment of inertance according to the relative acceleration between the sprung [...] Read more.
This paper investigates the performance of a speed-dependent variable inerter in improving vehicle suspension performance. Unlike conventional and passive inerter suspensions with fixed mechanical properties, the proposed speed-dependent variable inerter allows continuous adjustment of inertance according to the relative acceleration between the sprung and unsprung masses, enabling variable inertance under changing driving speeds and road conditions. A quarter-vehicle model is employed to evaluate a conventional passive inerter and both a linearly and non-linearly increasing variable inerter system in series and parallel layouts. A multi-objective genetic algorithm simultaneously optimizes the suspension damping and variable inertance range with respect to ride comfort and road-holding ability. To further validate the simulations, the optimized systems are evaluated under step, random and sinusoidal road profiles. The results showed that a linearly increasing variable inerter, particularly in parallel configuration, offers the best compromise between ride comfort and road holding, achieving up to 4.94% improvement in ride comfort under a random road profile, outperforming conventional passive inerter and non-linearly increasing inerter suspensions, while maintaining acceptable tire–road contact. Performance improvements under step and sinusoidal road profiles were moderate, while more significant performance gains were observed under a random road profile due to the larger acceleration change induced, which led to larger inertance variation. These findings confirmed the potential of variable inerters as an alternative approach to vehicle suspension systems, due to their passive implementation, absence of control requirement and compatibility with compact suspension architectures. Full article
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Review

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43 pages, 5472 KB  
Review
A Review of Configurations and Control Strategies for Linear Motor-Based Electromagnetic Suspension
by Renkai Ding, Xuwen Chen, Ruochen Wang and Dong Jiang
Machines 2026, 14(1), 2; https://doi.org/10.3390/machines14010002 - 19 Dec 2025
Cited by 2 | Viewed by 1795
Abstract
This paper presents a systematic review of linear motor-based electromagnetic suspension, a key technology for reconciling vehicle comfort, handling stability, and energy consumption. The review focuses on two core areas: actuator configuration and control strategy. In configuration design, a comparison of moving-coil, permanent [...] Read more.
This paper presents a systematic review of linear motor-based electromagnetic suspension, a key technology for reconciling vehicle comfort, handling stability, and energy consumption. The review focuses on two core areas: actuator configuration and control strategy. In configuration design, a comparison of moving-coil, permanent magnet synchronous (PMSLM), and switched-reluctance linear motors identifies the PMSLM as the mainstream approach due to its high-power density and performance. Key design challenges for meeting stringent vehicle operating conditions, such as mass-volume optimization, thermal management, and high reliability, are also analyzed. Regarding control strategy, the review outlines the evolutionary path from classical to advanced and intelligent control. It also examines the energy-efficiency trade-off between vibration suppression and energy recovery. Furthermore, the paper summarizes three core challenges for industrialization: nonlinear issues like thrust fluctuation and friction, the coupling of electromagnetic–mechanical–thermal multi-physical fields, and bottlenecks related to high costs and reliability verification. Finally, future research directions are envisioned, including new materials, sensorless control, and active safety integration for autonomous driving. Full article
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