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Estimating Parameters Using Measured Data

Learn to estimate battery cell parameters from measured data using Simulink Design Optimization. Tune model parameters automatically and validate the estimation. Enhance parameter tuning with additional strategies and capabilities. Utilize references for further insights.

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Estimating Parameters Using Measured Data

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  1. Estimating Parameters UsingMeasured Data A22 = Constant Ao = Constant Emo = Open Cir. Voltage Qe_init = Initial Extr.Chg. Model: AmbientTemperature DischargeCycle Voltage Problem:Simulation data does not match measured data because the parameters are incorrect Solution:Use Simulink Design Optimization to automatically tune model parameters BatteryCell

  2. Estimating Parameters UsingMeasured Data • Steps to Estimate Parameters • Import measurement data and select estimation data • Identify parameters and their ranges • Perform parameter estimation • Validate estimation

  3. Tuning ModelsAdditional StrategiesandCapabilities • Tune parameters in stages • Narrowingrangeforvalues • Tune setsofparameters • Tune with different datasets • Usescriptingtoautomatetuningprocess • Accelerateparametertuningbyusing parallel computing Multi Core

  4. References • SAE Papers • SAE Paper 2009-01-1381: Parameterizationof a Battery Simulation Model UsingNumericalOptimizationMethods • SAE Paper 2007-01-0778: A Simple, Effective Lead-AcidBattery Modeling ProcessforElectrical System ComponentSelection • Recorded Webinar: Developing Accurate Battery Simulation Models • http://www.mathworks.com/company/events/webinars/wbnr37544.html

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