[Analysis Case] System Identification of Catalyst and Air-Fuel Ratio Sensor Model

We will introduce a case where the fitting parameters for all 6 cases were identified!

This case study presents an example of fitting the actual measured values of the O2 sensor signal and the output values of the air-fuel ratio sensor model using "MATLAB/Simulink" and "modeFRONTIER." In this case study, we explore common fitting parameters (eight parameters for the three-way catalyst model and the O2 sensor model) across six cases. The fitting degree is expressed by the correlation coefficient (R), and the objective function is set to maximize the six correlation coefficients. Additionally, since the matching of the rising edge waveform is important, we impose a constraint on the difference in rising times between the measured values and the model output values. By utilizing the multi-objective optimization algorithm of "modeFRONTIER," the identification of fitting parameters for all six cases was completed in a short time. 【Case Study】 ■ Software Used: modeFRONTIER, MATLAB/Simulink ■ Objective: Fitting the actual measured values of the O2 sensor signal and the output values of the air-fuel ratio sensor model ■ Result: Identification of fitting parameters for all six cases was completed in a short time *For more details, please refer to the external link or feel free to contact us.

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