Implementation and Validation of Uncertainty Analysis of Available Energy and Available Power

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The Idaho National Laboratory does extensive testing and evaluation of state-of-the-art batteries and ultracapacitors for hybrid-electric vehicle applications as part of the FreedomCAR and Vehicle Technologies Program. Significant parameters of interest include Available Energy and Available Power. Documenting the uncertainty analysis of these derived parameters is a very complex problem. The error is an unknown combination of both linearity and offset; the analysis presented in this paper computes the uncertainty both ways and then the most conservative method is assumed (which is the worst case scenario). Each method requires the use of over 134 equations, some of which are derived ... continued below

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Christophersen, Jon P.; Morrison, John L.; Schubert, B. J. & Allred, Shawn April 1, 2007.

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The Idaho National Laboratory does extensive testing and evaluation of state-of-the-art batteries and ultracapacitors for hybrid-electric vehicle applications as part of the FreedomCAR and Vehicle Technologies Program. Significant parameters of interest include Available Energy and Available Power. Documenting the uncertainty analysis of these derived parameters is a very complex problem. The error is an unknown combination of both linearity and offset; the analysis presented in this paper computes the uncertainty both ways and then the most conservative method is assumed (which is the worst case scenario). Each method requires the use of over 134 equations, some of which are derived and some are measured values. This includes the measurement device error (calibration error) and bit resolution and analog noise error (standard deviation error). The implementation of these equations to acquire a closed form answer was done using Matlab (an array based programming language) and validated using Monte Carlo simulations.

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  • 53rd International Instrumentation Symposium,Tulsa, OK,04/30/2007,05/03/2007

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  • Report No.: INL/CON-07-12138
  • Grant Number: DE-AC07-99ID-13727
  • Office of Scientific & Technical Information Report Number: 911949
  • Archival Resource Key: ark:/67531/metadc891388

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  • April 1, 2007

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  • Sept. 22, 2016, 2:13 a.m.

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  • Dec. 15, 2016, 3:10 p.m.

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Christophersen, Jon P.; Morrison, John L.; Schubert, B. J. & Allred, Shawn. Implementation and Validation of Uncertainty Analysis of Available Energy and Available Power, article, April 1, 2007; [Idaho Falls, Idaho]. (digital.library.unt.edu/ark:/67531/metadc891388/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.