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An Improved Genetic Algorithm to Optimize Spatial Locations for Double-Wishbone Type Suspension System with Time Delay

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  • Qiang Li
  • Xiaoli Yu
  • Jian Wu

Abstract

By taking account of double-wishbone independent suspension with two unequal-length arms, the coordinate values of articulated geometry are based on structural limitations and constraint equations of alignment parameters. The sensitivities of front wheel alignment parameters are analyzed using the space analytic geometry method with insight module in ADAMS® software. The multiobjective optimization functions are designed to calculate the coordinate values of hardpoints with front suspension since the effect of time delay due to wheelbase can be easily obtained by vehicle speed. The K&C characteristics have been investigated using GA solutions in the simulation environment. The camber angle decreases from 1.152° to 1.05° and toe-in angle reduces from 1.036° to 0.944°. The simulation results demonstrate that the suggested optimization method is able to satisfy the suspension motion to enhance ride comfort. Experimental results, obtained by K&C test bench, also indicate that the optimized suspension can track the desired trajectory while keeping the vehicle performance in various road conditions.

Suggested Citation

  • Qiang Li & Xiaoli Yu & Jian Wu, 2018. "An Improved Genetic Algorithm to Optimize Spatial Locations for Double-Wishbone Type Suspension System with Time Delay," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-8, February.
    • Handle: RePEc:hin:jnlmpe:6583908
    DOI: 10.1155/2018/6583908
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    Cited by:

    1. Wang, Wei & Li, Yan & Shi, Man & Song, Yuling, 2021. "Optimization and control of battery-flywheel compound energy storage system during an electric vehicle braking," Energy, Elsevier, vol. 226(C).

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