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Improvement of Dynamic Characteristics of Purpose-Built Vehicles Using Semi-Active Suspension System.

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  • 1Department of Future Mobility Convergence, Chonnam National University, Gwangju 61186, Republic of Korea.

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Summary

Researchers developed a speed control method for autonomous purpose-built vehicles (PBVs) to navigate varied speed bumps. This ensures ride comfort and reduces travel time for specialized electric vehicles.

Keywords:
purpose-built vehicleride comfortsemi-active suspension systemspeed bump shapevibration dose value

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Area of Science:

  • Automotive Engineering
  • Robotics and Control Systems
  • Transportation Science

Background:

  • Purpose-built vehicles (PBVs) are evolving for diverse mobility services, utilizing electric vehicle (EV) chassis and autonomous technology.
  • Real-world speed bumps often deviate from established standards (e.g., Republic of Korea's National Land Transportation Act), posing challenges for vehicle dynamics.
  • Ensuring ride comfort and efficiency for autonomous PBVs requires precise control over speed, especially when encountering non-standard obstacles.

Purpose of the Study:

  • To develop and evaluate semi-active suspension control strategies for purpose-built vehicles (PBVs) to manage varying speed bump geometries.
  • To derive a velocity equation using regression analysis to optimize PBV dynamic characteristics when traversing speed bumps.
  • To assess the effectiveness of Proportional-Integral-Differential (PID) and Linear-Quadratic-Regulator (LQR) controllers in enhancing PBV performance and ride comfort.

Main Methods:

  • Regression analysis was employed to derive a velocity equation for PBVs navigating speed bumps.
  • Two semi-active suspension control methods, PID and LQR, were implemented and compared.
  • Vehicle simulations were conducted to analyze performance under varying speed bump widths and heights, focusing on velocity and vibration dose value (VDV).

Main Results:

  • The LQR controller demonstrated a significant increase in velocity (50.74% for width, 38.31% for height variations) compared to the PID controller (23.74% for width, 19.44% for height).
  • Calculated vibration dose values (VDVs) using the derived velocity equation remained within a 10% acceptable error margin of the target VDV, indicating good ride comfort.
  • Both controllers improved the ability of a cargo-transport PBV to maintain optimal speed over non-standard speed bumps.

Conclusions:

  • The derived velocity equation and implemented PID/LQR controllers effectively manage PBV speed over diverse speed bumps, ensuring ride comfort.
  • The LQR controller offers superior performance in optimizing speed for autonomous PBVs compared to the PID controller.
  • These findings are crucial for designing autonomous PBVs that balance ride comfort, efficiency, and operational requirements for specialized mobility services.