USING THE MATLAB TOOLSET TO IMPROVE EFFICIENCY IN THE … · USING THE MATLAB TOOLSET TO IMPROVE...

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Nick Wright and Robin Drane The MathWorks International Automotive Conference, June 2004

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USING THE MATLAB TOOLSET TO IMPROVE EFFICIENCY IN THE EOBD CALIBRATION

PROCESS

N. Wright and R. DraneFord Motor Company Limited, UK


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Agenda

• Introductions and Agenda N. Wright

• Background N. Wright

• Historical Calibration Process R. Drane

• New Calibration Process R. Drane

• Simulink Simulation Tools N. Wright

– Generic Simulink GUI– HEGO Simulink GUI

• Data Processor Tool R. Drane

• Summary R. Drane

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Agenda










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Background

• Reduced development cycle time• Reduced usage of prototype vehicles• Reduced testing costs• Re-usability of test data

Ford has developed a number of CAE tools to improve efficiency in the EOBD calibration process. Benefits of this approach include:

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Agenda










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Historical Calibration ProcessCollect Mapping/Calibration

Data

Post Process Mapping Data and Generate Initial Calibration

Individual task specific programs and spreadsheets

Collect More Data

Run Calibration on Vehicles to Validate

Collect Data for Secondary Calibration Task

IterativeProcess

Post Process Data for Secondary Calibration task

Individual task specific programs and spreadsheets

Collect More Data

Run Total Calibration on Vehicles to Validate

Collect Sign-Off Evidence Data

Key Calibration Parameter Change

OKNot OK

Not OKOK

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Agenda










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New Calibration ProcessCollect Data on Vehicles for Entire

Calibration and Validation Input Signals for Simulink Simulation Tools

Integrated Calibration and Validation Process Using Matlab Toolset:

Custom Data Processor ToolMBCModel

CAGESimulink Simulation Tools

IterativeProcess


Key Calibration ParameterChange

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Matlab Toolset Integrated Calibration Process

Collected Data

Data Processor ToolProcess data collected for

calibration generation

MBC ModelModel calibration Surfaces

CAGEGenerate initial calibrations

SpreadsheetsGenerate initial

calibrations

Simulink Simulation ToolsRun simulation models with all

collected data sets

Tweak Calibration

Data Processor ToolConduct validation analysis on

output from simulink models


Not OK

OK


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Agenda









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Simulink Simulation ToolsCollected Data






calibrations


collected data sets

Tweak Calibration




Not OK

OK


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Simulink Simulation Tools

• Desktop calibration and validation• Data batch processing• Auto calibration• System robustness testing• Standard controller allows connection to any

correctly formatted Simulink Model

Ford in association with The MathWorks have developed a number of Simulink Powertrain Control System Strategy Models. Features of the tools:

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Agenda










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Generic Simulink GUI - Tool Format

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Controller Automatically Recognises Calibration Parameters, Inputs and

Signals and configures GUI


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Load Calibration Information and Data

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Edit Calibration Scalars

Select Input Conditions Using Recorded Data

or Constant

Select Which Inputs and Signals to Display

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Edit Table Function


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View Flags

View Variables

View Selected Point

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View Data in Standard units or Normalise

Variables

Zoom Option on Display


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Activate History Option

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History Option Allows Viewing Effects of

Calibration Changes

Select Up to 4 History Files

Review Calibration Differences Between Files


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Save Options

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Agenda










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HEGO Simulink GUI - Batch Processing

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Select Min & Max Values

Select Number of Steps

Select Calibration Variables to

Sweep


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View all Sweeps

Rotate Facility on Graphics


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Statistics on all Sweeps

Distribution Data can be Viewed in Bar Form

or Line Form

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HEGO Simulink GUI – Auto Calibration


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HEGO Simulink GUI – Auto Calibration

Select Best Calibration

View Individual Sweeps

Statistics on Individual

Sweep

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HEGO Simulink GUI – System Robustness


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Select Signal Generator

Set up Base Signal Select

Robustness Limits

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Calibration Not Robust Over all Robustness

Limits

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Agenda










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Data Processor ToolCollected Data






calibrations


collected data sets

Tweak Calibration




Not OK

OK

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Data Processor Tool - Features

• Flexible – has countless applications• Graphical display of imported data• Data filtering to either exclude data or to select data for

export prior to analysis• Has access to Matlab functions• Allows use of users own written functions• Enables batch processing of data from multiple files• Results can be imported into MBC for modeling• Results can be exported in .csv format for spreadsheets• Tasks are saved as templates, similar to MBC.

The data processing tool is used to manipulate and analyse data generated from vehicle or from simulink models. Specific features include:


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Data Processor Tool – Graph View

Combustions

Misfires

Raw Misfire Detection Signal

Generated Misfire Signal(occurs 6 events prior toactual misfire)

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Variable Editor Change Plot Properties

Graph View - Options


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Filter Sets

Filtering Tool Buttons

Graph View – Filtering

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X filter -- Removes data along the X axis Y filter -- Removes data along the Y axis XY filter -- Removes rectangle area of data

Data can be removed graphically by use of mouse click and drag operation:

Filtering – Removing Data


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Export filters can be used to select data that is requiredto be kept for analysis:

X Export Filter – Selects data along the X axisY Export Filter – Selects data along the Y axisXY Export Filter – Selects data in a rectangular area

Table View:

Filtering – Selecting Data

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Data Processor Tool – Table View


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SNRIndex = Mean(comb) – Mean(mis)STD(Comb)

User Defined Function:

Table View – Columns of Results

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MBCModel

Spreedsheet

Data Processor Tool – Batch Run


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Simulink GUI Template configured with desired calibration:

ValidationResults Files

Data Processor Tool – Simulink Model Analysis

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Agenda










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Summary

Collected Data






calibrations


collected data sets

Tweak Calibration




Not OK

OK

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Question Time

Any Questions

???

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USING THE MATLAB TOOLSET TO IMPROVE EFFICIENCY IN THE … · USING THE MATLAB TOOLSET TO IMPROVE...

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