Parameterization of a Battery Simulation Model Using Numerical Optimization Methods
Date Published: 2009-04-20
Paper Number:2009-01-1381
DOI: 10.4271/2009-01-1381
Citation:
Jackey, R., Plett, G., and Klein, M., "Parameterization of a Battery Simulation Model Using Numerical Optimization Methods," SAE Technical Paper 2009-01-1381, 2009, doi:10.4271/2009-01-1381.
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.
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