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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**Features of the Multi-Objective Robust Design Optimization Support Tool "modeFRONTIER"** - Equipped with advanced optimization methods, experimental design methods, and response surface approximation methods - Supports multi-objective robust design optimization and multi-objective tolerance design optimization - Includes a variety of post-processing functions such as statistical analysis, multivariate analysis, and CAP - Interface compatible with Japanese (Windows) and English environments - Standard equipped with dedicated nodes for direct access to various tools (such as CATIA V5, ANSYS Workbench, MATLAB, LabVIEW, etc.) *For more details, please refer to the external link or feel free to contact us.*
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While focusing on MBD and CAE technologies and their surrounding technical areas, we specialize in building virtual products and collaborative design processes through cutting-edge digital engineering. We have formed partnerships with leading software vendors of the era to provide top-level digital engineering technologies in Japan, including solutions for thermal fluid analysis, structural analysis, electromagnetic field analysis, acoustic analysis, system simulation, optimization technologies, embedded software development environments, and simulation process data management (SPDM) solutions. We offer a comprehensive engineering environment necessary to solve the diverse and complex challenges faced by our customers. Official Blog: https://www.idaj.co.jp/blog/ IDAJ YouTube Channel: https://www.youtube.com/channel/UCGCd8pB5Lwq_noIoxpgJrrw/featured X: https://twitter.com/IDAJ_CAE Facebook: https://www.facebook.com/IDAJ.CAE