Evaluation of the Uncertainty of Measured and Derived Parameters Used for Modeling and Analysis of Advanced High Power Batteries

摘要

The Idaho National Engineering and Environmental Laboratory (INEEL) supports high power batterydevelopment for vehicle applications for U.S. Department of Energy programs, including cooperativegovernment-industry development programs such as the new FreedomCAR program. The INEELEnergy Storage Test (EST) Laboratory tests such batteries and other energy storage devices usingspecial procedures developed for automotive traction applications. Results from such tests are used formodeling and evaluation of device performance against program goals. The performance parameters ofinterest (derived parameters) are derived from electrical measurements, but these derived parametersthemselves cannot be directly measured. The uncertainty associated with these derived parameters hasbeen determined both analytically and numerically using a methodology developed for the ESTLaboratory. This paper describes the acquisition and use of data from specialized electricalmeasurement tests to determine measurement uncertainty for battery test stations used in the ESTLaboratory. Additionally, it shows the subsequent application of these uncertainties and variousanalytical relationships that were developed to quantify the uncertainty of derived parameters such asenergy and pulse power capability. A computerized worksheet is used to illustrate the calculation ofnumerical results for derived parameters based on the derived parameter uncertainty relationships anduncertainty data sets acquired for EST laboratory battery testers.