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Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy

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  • Ming Foong Soong
  • Rahizar Ramli
  • Ahmad Saifizul

Abstract

Quarter vehicle model is the simplest representation of a vehicle that belongs to lumped-mass vehicle models. It is widely used in vehicle and suspension analyses, particularly those related to ride dynamics. However, as much as its common adoption, it is also commonly accepted without quantification that this model is not as accurate as many higher-degree-of-freedom models due to its simplicity and limited degrees of freedom. This study investigates the trade-off between simplicity and accuracy within the context of quarter vehicle model by determining the effect of adding various modeling details on model accuracy. In the study, road input detail, tire detail, suspension stiffness detail and suspension damping detail were factored in, and several enhanced models were compared to the base model to assess the significance of these details. The results clearly indicated that these details do have effect on simulated vehicle response, but to various extents. In particular, road input detail and suspension damping detail have the most significance and are worth being added to quarter vehicle model, as the inclusion of these details changed the response quite fundamentally. Overall, when it comes to lumped-mass vehicle modeling, it is reasonable to say that model accuracy depends not just on the number of degrees of freedom employed, but also on the contributions from various modeling details.

Suggested Citation

  • Ming Foong Soong & Rahizar Ramli & Ahmad Saifizul, 2017. "Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-23, June.
    • Handle: RePEc:plo:pone00:0179485
    DOI: 10.1371/journal.pone.0179485
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    References listed on IDEAS

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    1. Hu, Xiaosong & Zou, Yuan & Yang, Yalian, 2016. "Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization," Energy, Elsevier, vol. 111(C), pages 971-980.
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