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Parameterization of a Battery Simulation Model Using Numerical Optimization Methods
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 20, 2009 by SAE International in United States
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Typically, battery models are complex and difficult to parameterize to match real-world data. Achieving a good generalized fit between measured and simulated results should be done using a variety of laboratory data. Numerical optimizations can ensure the best possible fit between a simulation model and measured data, given a set of constraints.
In this paper, we propose a semi-automated process for parameterizing a lithium polymer battery (LiPB) cell simulation model that is able to satisfy constraints on the optimized parameters. This process uses a number of measured data sets under a variety of conditions. An iterative numerical optimization algorithm using Simulink Parameter Estimation was implemented to estimate parameter values by minimizing error between measured and simulated results.
CitationJackey, R., Plett, G., and Klein, M., "Parameterization of a Battery Simulation Model Using Numerical Optimization Methods," SAE Technical Paper 2009-01-1381, 2009, https://doi.org/10.4271/2009-01-1381.
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