Purpose This study introduces a magneto-rheological (MR) semi-active seat suspension system integrated with the vehicle’s suspension, considering the driver’s biodynamics. The diverse range of passenger types leads to variations in biodynamic parameters, resulting in parametric uncertainties. The primary objective is to address these uncertainties by designing a damper controller that optimally adjusts the MR damper’s voltage to achieve superior ride comfort and stability. Methods To manage parametric uncertainties, the study proposes a novel seat damper controller using inverse summation (∑-ANN) and product (<InlineEquation ID="IEq01"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42417_2024_1714_Article_IEq01.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">$\prod {\text{-ANN}}$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>∏</mo> <mtext>-ANN</mtext> </mrow> </math></EquationSource> </InlineEquation>) type neural networks. The performance of these controllers is compared against the conventional Signum function controller. The effectiveness of the proposed MR seat-controlled suspension system is evaluated in both internal combustion engine (ICE) vehicles and electric vehicles (EV), utilizing the main suspension system for analysis. A 2 T-FLS system controller is integrated to enhance control and improve ride quality across different vehicle types. Results Simulations demonstrate that the proposed MR seat suspension system, with the combined 2 T-FLS and <InlineEquation ID="IEq023"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42417_2024_1714_Article_IEq023.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">$\prod {\text{-ANN}}$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>∏</mo> <mtext>-ANN</mtext> </mrow> </math></EquationSource> </InlineEquation> damper controller, effectively minimizes vibrations and enhances ride comfort, especially in EVs. The findings also reveal that the engine vibration force caused by the gasoline-air mixture is harmful to ride comfort in ICE vehicles, whereas EVs exhibit strong dynamic stability due to less disruptive wheel vibrations generated by electric motors. Conclusion The study demonstrates the effectiveness of the proposed MR seat suspension system in enhancing ride quality and dynamic stability. The integration of the 2 T-FLS system controller with the MR seat suspension system offers superior damping control, improving ride quality for both ICE and EV vehicles. EVs benefit significantly due to their reduced engine vibration forces, emphasizing the system’s potential to enhance passenger comfort and vehicle performance across diverse vehicle types.

Optimizing Driver Comfort: Magnetorheological Damper Seat Suspension for Internal Combustion and Electric Vehicles Under Uncertain Conditions

期刊论文
发表日期：

2025年1月25日

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Ahmed Shehata Gad,
Wael Galal Ata,
Haytham M. El-Zomor,
Syeda Darakhshan Jabeen

摘要

Purpose

This study introduces a magneto-rheological (MR) semi-active seat suspension system integrated with the vehicle’s suspension, considering the driver’s biodynamics. The diverse range of passenger types leads to variations in biodynamic parameters, resulting in parametric uncertainties. The primary objective is to address these uncertainties by designing a damper controller that optimally adjusts the MR damper’s voltage to achieve superior ride comfort and stability.

Methods

To manage parametric uncertainties, the study proposes a novel seat damper controller using inverse summation (∑-ANN) and product ( $\prod {\text{-ANN}}$ $\prod -ANN$ ) type neural networks. The performance of these controllers is compared against the conventional Signum function controller. The effectiveness of the proposed MR seat-controlled suspension system is evaluated in both internal combustion engine (ICE) vehicles and electric vehicles (EV), utilizing the main suspension system for analysis. A 2 T-FLS system controller is integrated to enhance control and improve ride quality across different vehicle types.

Results

Simulations demonstrate that the proposed MR seat suspension system, with the combined 2 T-FLS and $\prod {\text{-ANN}}$ $\prod -ANN$ damper controller, effectively minimizes vibrations and enhances ride comfort, especially in EVs. The findings also reveal that the engine vibration force caused by the gasoline-air mixture is harmful to ride comfort in ICE vehicles, whereas EVs exhibit strong dynamic stability due to less disruptive wheel vibrations generated by electric motors.

Conclusion

The study demonstrates the effectiveness of the proposed MR seat suspension system in enhancing ride quality and dynamic stability. The integration of the 2 T-FLS system controller with the MR seat suspension system offers superior damping control, improving ride quality for both ICE and EV vehicles. EVs benefit significantly due to their reduced engine vibration forces, emphasizing the system’s potential to enhance passenger comfort and vehicle performance across diverse vehicle types.