How to Use This Manual :: Introduction (Model-Based Calibration Toolbox™)

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Contents

Index

• Getting Started

• Introduction

• Product Overview

• How to Use This Manual

Learning the Model-Based Calibration Toolbox Product

Learning the Model Browser

Training Material

• System Requirements

Operating System Requirements

Required MathWorks Products

Optional MathWorks Products

• Limitations

Waitbar May Have Transparent Background

• Gasoline Engine Calibration Case Study

Case Study Introduction

Why Use Design of Experiment and Engine Modeling?

Problem Definition

Introduction to Two-Stage Modeling

Overview of Design Process

Creating a Test Plan

Specifying the Model Inputs

Creating Designs

Import and View Data

Completing Model Setup

Specifying the Local Model Type

Selecting Data and Responses to Model

Inspect the Global Models

Create Multiple Models to Compare

Create a Two-Stage Model

Adding New Response Models

Problem Definition

Benefits of Automated Calibration

Altering Variable Ranges

Setting Up Tables

Setting Up the Optimization Initial Values and Objective

Creating Table Gradient Constraints

Running the Sum Optimization

What Is an Estimator?

View the Feature

Edit and Import Boundary Model

Use the Feature Fill Wizard

Inspect Results

CAGE Import Tool

• Diesel Engine Calibration Case Study

Problem Definition

Introducing Design of Experiment

Constraining the Design

Creating Candidate Designs

Data Collection

Overview of Modeling Process

Building Models

Building and Evaluating Alternative Models

Creating Boundary Models

Problem Definition

Benefits of Automated Calibration

Setting Up Initial Values and Sum Objective

Creating the Brake Specific NOx Constraint

Setting Weights for the Sum Objective and Constraint

Set Parameters and Run Optimization

• Point-by-Point Diesel Engine Calibration Case Study

• Example Composite Models and Modal Optimizations

Gasoline Example with Four Cylinder and Eight Cylinder Modes

Diesel Example with Low and High EGR Modes

Composite Model Example with Separate Tables for Each Mode

• Command-Line Interface to the Model-Based Calibration Toolbox Product

Overview of Model Structure

Boundary Models

• Tutorial: Model Quickstart

Creating the Test Plan

Setting Up the Local Model

Setting Up the Global Model

Specifying the Response Model

Verifying the Local Model

Verifying the Global Model

Selecting the Two-Stage Model

Comparing the Local Model and the Two-Stage Model

Maximum Likelihood Estimation

Methods For Creating More Models

Creating New Local Models

Adding New Response Features

Comparing Models

Creating New Global Models

Creating Multiple Models Using Build Models

• Tutorial: Design of Experiment

Why Use Design of Experiment?

Structure of This Design Editor Tutorial

Setting Up a Model

Starting the Design Editor

Creating a New Design

Introducing Optimal Designs

Start Point Tab

Candidate Set Tab

Introducing the Prediction Error Variance Viewer

Improving the Design

Adding a Classical Design

Classical Design Browser

Setting Up and Viewing a Classical Design

• Tutorial: Data Editor

Entering the Data Editor

Loading a Data File

Using Notes to Sort Data for Plotting

Removing Outliers and Problem Tests

Reordering and Editing Data

Adding New Variables

Applying a Filter

Sequence of Variables

Deleting and Editing Variables and Filters

Introducing Matching Data to Designs

Tolerances and Cluster Information

Understanding Clusters

• Tutorial: Feature Calibration

Setting Up Variables

Setting Up Models

Setting Up a New Feature

Setting Up the Strategy

Setting Up the Tables

Process For Feature Calibration

Calibrating the Normalizers

Calibrating the Tables

Calibrating the Feature

• Tutorial: Tradeoff Calibration

Creating a Tradeoff

Adding Tables to a Tradeoff Calibration

Displaying the Models

Process Overview

Checking the Normalizers

Setting Values for Other Variables

Filling Key Operating Points

Filling the Table by Extrapolation

Exporting Calibrations

• Tutorial: Data Sets

Tutorial Overview

Opening an Existing Calibration

Importing Experimental Data into a Data Set

Adding an Item to a Data Set

Viewing the Data Set as a Table

Viewing the Data Set as a Plot

Displaying the Error

Coloring the Display

• Tutorial: Filling Tables from Data

Tutorial Overview

Adding Variables

Adding a New Table

Importing Experimental Data

• Tutorial: Optimization and Automated Tradeoff

Tutorial Problem Definitions

The Optimization View

Import Models to Optimize

Process Overview

Using the Create Optimization from Model Wizard

Setting Constraints and Operating Points

Running the Optimization

Using Optimization Results to Fill Tables

Using a Custom Fill Routine to Fill Tables

Setting Up and Running the Multiobjective Optimization

Optimization Output View

Selecting Best Solutions

What Is a Sum Optimization?

Example Overview

Using the Worked Example Optimization

Process Overview

Step 1: Verify the Algorithm

Step 2: Create a CAGE Optimization Function

Step 3: Define the Optimization Options

Step 4: Add the Algorithm to the Optimization Function

Step 5: Register Your Optimization Function with CAGE

Step 6: Verify Your New Optimization

• User's Guide

• Release Notes

How to Use This Manual

This section contains the following topics:

On this page…

Learning the Model-Based Calibration Toolbox Product

Learning the Model Browser

Training Material

Learning the Model-Based Calibration Toolbox Product

The case studies chapters contain step-by-step examples and project files that guide you through using the whole toolbox to solve engine modeling and calibration problems:

The following tutorial chapter explains how to get started using the command-line interface to the toolbox:

Command-Line Interface to the Model-Based Calibration Toolbox Product

Learning the Model Browser

These tutorials guide you through using specific Model Browser tools:

Tutorial: Model Quickstart provides a quick introduction to modeling with the toolbox. The tutorial describes how to set up and view a two-stage model using engine data.
Tutorial: Design of Experiment covers the tools for Design of Experiments with a step-by-step guide to setting up, viewing, and comparing one of each of the design types: classical, space-filling, and optimal. The tutorial also describes how to define and apply constraints and export designs.
Tutorial: Data Editor is a guide to using the Data Editor to load and manipulate data for modeling. You can load data from files or the workspace or custom Microsoft^® Excel^® sheets. You can view plots of the data and define new variables and filters. You can store and import user-defined variables and filters, and define test groupings.

Learning CAGE

These tutorials guide you through using specific tools in CAGE:

Tutorial: Feature Calibration describes how to set up and calibrate lookup tables by reference to a model.
Tutorial: Tradeoff Calibration describes how to calibrate lookup tables using tradeoff calibrations.
Tutorial: Data Sets describes how to validate calibrations using experimental data.
Tutorial: Filling Tables from Data describes how to fill lookup tables using experimental data.
Tutorial: Optimization and Automated Tradeoff describes how to set up and run optimizations, including single objective, multiobjective, sum and user-defined optimization, and automated tradeoff.

Training Material

The files for the tutorial chapters are in the matlabroot/toolbox/mbc/mbctraining directory.

Product Overview

Product Overview

System Requirements

System Requirements

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