Developing Vehicle Models With Math Works and d Space Pres

7/29/2019 Developing Vehicle Models With Math Works and d Space Pres

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MathWorks

Steve Miller MathWorks

Adalperostrasse 45

85737 Mnchen

Hagen Haupt dSPACE

dSPACE GmbH Rathenaustr. 26

33102 Paderborn

Developing Vehicle Models with MathWorks

Physical Modeling Solutions & dSPACE

Automotive Simulation Models


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Motivation

Engineers developingtransmissions need

environment models

Engineers testing completevehicles need detailed

transmission models

Ideally all in a single environment


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Agenda

Engineers Needs

Physical modeling

Ready to use plant models

Real-time and HIL

Solutions

SimDriveline


LIVE Demo

Summary


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Why do we need physical modeling tools?


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Signal-Based Modeling Methods

Pose Challenges Very flexible, but difficult

to use efficiently

Requires expertise in

several areas

Physics, math, programming

Deriving system level equationsis difficult and error prone

Resulting model can be

difficult to read and maintain


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Physical Modeling Methods

Ideal For Plant Models Build accurate models quickly

System-level equations

derived automatically

Model is easier to read

Reflects structure of system

Easier to update model New technologies or designs

can be easily incorporated

into the model


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Why do we need ready to use

simulation models?


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Offline controller

development

HIL testing

Ready to Use Simulation Models

Controller development needs

Ready to use plant models

for model based design

Simulation of environmentalconditions (driver, road, traffic)

Easy handling of parameters and

simulation results

Easy integration of extended models


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Hardware-in-the-Loop AspectsVariable Valve

Train

BUS BUS

Sensors Actuators


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Environm ent_Signals

n_Engine[rpm]

Trq_MeanEff _Engine_Mod[Nm]

Engine

Trq_MeanEff _Engine_Mod[Nm]


Trq_Tire[Nm]

n_Engine[rpm]

omega_Out_Diff [rad|s]

Drivetrain

BUS BUS

omega_Out_Diff [rad|s]


Trq_Tire[Nm]

VehicleDynamics

Hardware-in-the-Loop Aspects

Sensor models Actuator models


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Hardware-in-the-Loop Aspects

Complex interaction of models from different domains

Models need to be real-time capable

Timely IO connection

Special measurement and signal generation devices

Different solver techniques for different domains

Multi processor / multicore architecture x(t)

1 ms t

)(

1

1 n

n

Tnnxf

xxfhIhxx

+ +=

DS1006 MC DS2211-HIL


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A combination of the advantages of a ready-to-usesimulation environment (ASM) and SimDriveline

for the Model-Based Design of a transmission controller

Vehicle Dynamics

Environment

Engine

Soft ECU

ActuatorsignalsfromE

CU

SensorsignalstoECU

Soft ECUSignals

SensorSignals

TorqueEngineEngineSpeed

TorqueDiffer entialTireSpeed

SensorSignalsEnvironment

Signals

Drivetrain


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SimDriveline


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SimDriveline

Extension of Simscape for

acausal modeling of rotational

driveline systems

Tight integration with Simulink

Optimized for efficient

calculations and simulation

Key features:

Controllable clutch with kineticand static friction

Gear and transmission library

HIL capable

Combine with Simscape to

model multidomain physical system

MATLAB, Simulink

SimPowerSystems

Simscape

SimMechanics

SimD

riveline

SimHydraulics

SimElectronics


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ASM Tool Suite

EngineGasoline

Basic

Engine

Diesel

In-Cylinder

Engine

Diesel

Vehicle

Dynamics

Engine

Gasoline

Engine

Gasoline

In-Cylinder

BrakeHydraulics

DieselExhaust

DrivetrainBasic

TurboCharger

Traffic

Trailer

Truck

Electric

Components

ModelDesk

MotionDesk


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Vehicle Dynamics

Environment

Engine

Soft ECU

ActuatorsignalsfromE

C

U

SensorsignalstoECU

Soft ECU

Signals

Sensor

Signals

Torque Engine

Engine Speed

Torque DifferentialTire Speed

Sensor

SignalsEnvironment

Signals

Drivetrain

ASM Model Structure

Simulink models

Main components

Soft ECU

Engine

Drivetrain

Vehicle Dynamics

Environment

Optimized usability

Open, documented

Structured signal access

Parameterization concept


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ModelDesk Overview

GUI for parameterization

Road generation

Maneuver definition

Definition of vehicle model

variants

Project management to create

and handle complete vehicle

parameter sets Handling of real-time and offline

models

Custom component

parameterization


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ASM and SimDriveline Demo

ASM Engine Gasoline as the base model

SimDriveline 7 Speed transmission model

Common parameterization in ModelDesk


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Demo

h k


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Summary

Combining custom-off-the-shelf and physical modeling solutions

enables engineers analyze the entire system

Easily set up new drivetrain variants

Efficiently configure parameters and experiments

Test controller using hardware-in-the-loop

SimDriveline with dSPACE ASM & Model Desk

provides these capabilities

This combination enables efficient design and testingusing Model-Based Design

from offline system investigation through controller design

using hardware-in-the-loop testing

M hW k


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Questions

Developing Vehicle Models With Math Works and d Space Pres

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