Model-Based Calibration Toolbox 3.7

Introduction

The Model-Based Calibration Toolbox provides design tools for calibrating powertrain systems. The toolbox is built on the high-performance technical computing environment of MATLAB and the modeling capabilities of Simulink. The Model-Based Calibration Toolbox enables the development of optimized calibrations for complex high-degree-of-freedom engines that are difficult to calibrate using traditional methods. Using the toolbox, you can develop a process for systematically generating calibrations that find an optimal balance of engine performance, emissions, and fuel economy.

Key Features

• Classical, space-filling, and optimal designs, based on Design of Experiments methodology, for creating optimized test plans
• Techniques for developing high-fidelity, nonlinear statistical engine models from test data
• Linear regression and radial basis function modeling techniques for performing accurate fits to your data
• Built-in and user-definable libraries of empirical model forms
• Boundary modeling for keeping optimization results within the engine operating envelope
• Table manipulation, optimization, and trade-off tools for calibration problems
• Tools to fill lookup tables from models, optimization results, or test data
• Calibration import/export links to ETAS INCA and ATI Vision