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Accession Number ADA566037
Title Model Validation for Simulations of Vehicle Systems.
Publication Date Aug 2012
Media Count 15p
Personal Author D. Lamb G. Hulbert H. Pan M. Castanier M. Kokkolaras
Abstract This paper deals with model validation of dynamic systems (with vehicle systems being of particular interest) that have multiple time-dependent output. First, we review several validation methodologies that have been reported in the literature: graphical comparison, feature-based techniques, PDF/CDF based techniques, Bayesian posterior estimation, classical hypothesis testing and Bayesian hypothesis testing. We discuss their advantages and disadvantages in terms of several attributes: applicability to different types of models, need for assumptions computational cost, subjectivity, propensity to type-I or II errors, and others. We then proceed with the most important attribute: can the validation method provide a quantitative measure of the goodness of the model. We conclude that Bayesian-based model validation frameworks answer this question positively. A bootstrap method is presented that obviates the need to assume a statistical distribution model. The features of the Bayesian validation framework are illustrated using a thermal benchmark problem developed by Sandia National Laboratories and a battery model developed in the Automotive Research Center, a US Army Center of Excellence for modeling and simulation of ground vehicle systems.
Keywords Army
Automotive components
Bayes theorem
Mathematical models
Research facilities
Statistical analysis
Statistical distributions
Test and evaluation
Thermal properties

Source Agency Non Paid ADAS
NTIS Subject Category 72F - Statistical Analysis
94K - Laboratory & Test Facility Design & Operation
Corporate Author Michigan Univ., Ann Arbor. Dept. of Mechanical Engineering.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1306
Contract Number W56H2V-04-2-0001

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