Vehicle sprung mass estimation for rough terrain

Benjamin Pence, Joseph Hays, Hosam K. Fathy, Corina Sandu, Jeffrey Stein

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This paper provides methods and experimental results for recursively estimating the sprung mass of a vehicle driving on rough terrain. A base-excitation model of vertical ride dynamics treats the unsprung vertical accelerations, instead of the terrain profile, as the input to ride dynamics. Recently developed methods based on polynomial chaos and maximum likelihood theory estimate the most likely value of the vehicle sprung mass. The polynomial chaos estimator is compared to least squares and Kalman filtering approaches. An experimental study suggests that the proposed approach provides accurate outputs and is less sensitive to tuning parameters than the benchmark algorithms.

Original languageEnglish (US)
Pages (from-to)3-26
Number of pages24
JournalInternational Journal of Vehicle Design
Volume61
Issue number1-4
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering

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