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Purpose <p>The dual-function active electromagnetic suspension (DF-AEMS) presents a promising solution for achieving self-powered active vibration control in vehicles. Nevertheless, due to its multifunctionality, the DF-AEMS becomes more complex, and therefore, its robustness needs further validation when facing the inherent uncertainties arising from dynamic load variations and operating conditions. This study addresses this concern by conducting a thorough robustness analysis of DF-AEMS under multiple sources of uncertainty.</p> Methods <p>The interval model is adopted to delineate the boundaries of the vibration response of DF-AEMS-equipped vehicles when subjected to uncertainties, while the uncertain parameters are described as interval variables. Our methodology involves three pivotal steps: firstly, an experimental evaluation assesses the force tracking accuracy of DF-AEMS; secondly, numerical simulations gauge the interval dynamic responses of a DF-AEMS-equipped vehicle under diverse uncertainties; and finally, we extend our analysis by integrating first-passage theory to evaluate the robustness of DF-AEMS concerning vibration suppression and energy harvesting in automotive applications.</p> Conclusions <p>When confronted with multiple sources of uncertainty, DF-AEMS demonstrates itself as a reliable tool for mitigating vehicle vibrations while maintaining its self-powered functionality.</p>

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Robustness Analysis of Self-Powered Active Electromagnetic Suspension System Using Interval Model

  • 期刊论文

  • 发表日期：

    2025年2月13日

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  • Xiang Shi,
  • Jingyang Wang,
  • Ping Lu,
  • Heming Xing,
  • Jin-Yang Li

摘要

Purpose

The dual-function active electromagnetic suspension (DF-AEMS) presents a promising solution for achieving self-powered active vibration control in vehicles. Nevertheless, due to its multifunctionality, the DF-AEMS becomes more complex, and therefore, its robustness needs further validation when facing the inherent uncertainties arising from dynamic load variations and operating conditions. This study addresses this concern by conducting a thorough robustness analysis of DF-AEMS under multiple sources of uncertainty.

Methods

The interval model is adopted to delineate the boundaries of the vibration response of DF-AEMS-equipped vehicles when subjected to uncertainties, while the uncertain parameters are described as interval variables. Our methodology involves three pivotal steps: firstly, an experimental evaluation assesses the force tracking accuracy of DF-AEMS; secondly, numerical simulations gauge the interval dynamic responses of a DF-AEMS-equipped vehicle under diverse uncertainties; and finally, we extend our analysis by integrating first-passage theory to evaluate the robustness of DF-AEMS concerning vibration suppression and energy harvesting in automotive applications.

Conclusions

When confronted with multiple sources of uncertainty, DF-AEMS demonstrates itself as a reliable tool for mitigating vehicle vibrations while maintaining its self-powered functionality.