Model Based System Engineering Applications & Challenges · Model Based System Engineering...

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Model Based System Engineering

Applications & Challenges David GAGNE - NAFEMS simulation des systèmes – 3 Mai 2015

Restricted © Siemens AG 2015

2015-06-03 NAFEMS Simulation des Systèmes Siemens PLM Software

1 - Engineering Challenges

2 – MBSE Landscape

3 – MBSE Maturity

4 – Some examples




System Complexity in the Automotive Industry

Cost of Software

Dramatic Growth of Electronics Systems Exploding Requirements and Test Cases

Multiple Variants and System Architectures Multiple Sites, Multiple Participants

€25b

€95b

€126b




All this translating to other industries

Source: Frost & Sullivan




Current practice is to solve problems in “silos”

Problem Frequency Curves

With Decision-making Process Silos

Design

Development

Phase

Concept

Design

Detail

Design

Proto-

typing

Evaluation Production

Ramp-Up

Full Production

Resolution Cost per

Problem

1 X 10 X 100 X 1000 X 20000+ X

Mechanical

Engineering

Embedded

Software

Test

Manufacturing

What if Everyone in Your Organization Could Use

Realistic Simulations Early in the Process?




What if Everyone in Your Organization Could Use Realistic Simulations Early in the

Process?

Front-loaded Decision-making Process Leveraging

Closed-loop Systems Synthesis and Validation

Design

Development

Phase

Concept

Design

Detail

Design

Proto-

typing

Evaluation Production

Ramp-Up

Full Production

Resolution Cost per

Problem

1 X 10 X 100 X 1000 X 20000+ X

Mechanical

Engineering

Embedded

Software

Test

Manufacturing A significant improvement of Mechanical &

Controls engineering & Test Processes




“Classical “CAE vs. MBSE

Mechanics

Thermal Acoustics

Chemistry

Composite

Electromagnetic

…..

All domains

System

Simulation

System

Modeling

PLM For

Systems




The Strategic Role of MBSE

3D CAE

3D CAE

J

Virtual

to

Physical

TEST

1D – Behavioral

Simulation

LMS Amesim

SABER

Simulink

Model Based Systems Engineering



System

Simulation

System

Modeling


Overview of MBSE tools

Normative models (Requirements, architectures, )

Requirements TC requirement management

Doors, Reqtify, Up Time Solutions

Functionnel Architecture TC Architecture modeler, Catia Systems,

Artisan, KI arKItect, Vitech

Eclipsed based open source solutions,

Standards

SysML, UML

EAST-ADL

Autosar…

Behavioral (Design/Dynamic Simulation) et Decisional models

Mechatronic

platform

Amesim, Simulink,

Dymola, SimX,

Easy5

Specialized

tools Boost, Wave, GT

Simplorer, Saber

Flowmaster, DSH+,

Carsim, Carmaker,

Motion, Adams…

Standards

Modelica

VHDL-AMS

FMI, …

Integration / Co-simulation workbench System Synthesis, Cosimate, Orchestra, xMOD, Autonomie

Controls

platform

Simulink, Ascet,

Scade..

…

PLM For

Systems

PLM

Teamcenter

Enovia

Windchill




Not Yet a Consolidated Market

ANSYS > Ansoft (Simplorer) 2008

2000

DASSAULT > Dynasim

(Dynasim) 2006

LMS > Imagine (Amesim) 2007 SIEMENS > LMS 2012

ANSYS > Esterel 2012

2010 2015

Mathwork > Polyspace 2007

MSC > MDI (Adams/Easy5) 2002

Mentor Graphics > Flowmaster 2012

Synopsys > Avant! (Saber) 2002

2005

Cybernet > Maplesoft 2009

ESI > CIVITEC 2015

DASSAULT > Simpack 2014



3 – MBSE maturity

Simulation Technology & Process maturity

Simulation

Technology

Maturity

Process Maturity

2- In support of

process

3- Used in

production

1- Methodology

development

Advanced research, technology

breakthrough, troubleshooting

Validation on new vehicle project.

Dependency on some experts

Simulation activities are organize &

manage at corporate level

Effort to be

made on process User

Expertise

Level

Effort to be

made on models

FR, US

JP, CN

GE



3 – MBSE maturity

Technical & Process Challenges

Technical challenges • Training of system engineers

• Increase confidence & quality of models

• Adapt model complexity to design challenge

• Develop & implement simulation methods

Process challenges • Management of model and data

• Management of modeling activities

• Common standards & rules across organization

• HR management

Siemens VDO become

Continental in 2007

Continental 2003: improvement

of 1D model with 3D CFD

Renault 2011

Valeo 2013

Delphi 2004: robust design



3 – MBSE maturity

Model exchange & Standards

Model exchange OEMs/Supplier

OEMS and suppliers are already exchanging

models. For the time being it’s ad-hoc

practices.

Key Success Factors

• Protection of Intellectual Property.

• Produce results that benefit both sides

Model exchange standard

Functional Mock-up Interface (FMI)

An emerging tool independent standard to

support both model exchange and co-

simulation of dynamic models.



3 – MBSE maturity

Some best practices to establish MBSE

Initial investment:

High initial investment (People, Organization, Tools)

Audacious goal while ensuring that each step has a positive ROI.

Re-Use

MBSE models are complex and take time to develop.

Modifying off the shelf model is faster than starting from scratch.

Human Resources:

Simulation is often a starting point for young engineers.

Is it also a recognized domain for a successful carrier path?



4 - MBSE applications Typical Automotive applications



Performance, Fuel Consumption, Drivability & Shiftability Integrated approach to manage EU28 CO2 regulation

Simonluca Santoto – FIAT Chrysler Automotive

Performance, Fuel Consumption, Drivability & Shiftability

Automotive Vehicle Performance Conference. April 2015.

Goal: Target setting process for effective vehicle energy efficiency

Challenges:

• Fuel economy, performance and drivability are

inter-connected by complex trade-offs

• Deign of overall energy efficiency is a very

complex task

Use case example

• Heat recovery

2% CO2 reduction on NEDC

An integrated approach with LMS Imagine.Lab

Why LMS Amesim @ FCA?

Reduction of the development phase

Accuracy (multi-domain)

Computation time



Multi-Attribute Balancing Fuel Consumption, Emissions, Drivability, NVH

Kazuhiko Gotoh – Toyota

SAE 2012. (2012-01-0946)

Use cases

• Fuel eco: different driving scenario

• Emission: prediction & conversion in cata.

• Drivability: Veh acc during tip in/out, gear shifting,

take-off

Emissions: Good correlation on 27 operating

points Fuel Eco: <1.5% error

Water T° quite representative Drivability: Good tendency

Goal: Reduce engine test and development time using Model Based Design in early

design stages

Sensitivity analysis

• Fuel control strategy (e.g.: baseline vs

stoichiometric control)

• Spark advance control

• Engine mount characteristics

• Driveline stiffness,…



Driveline Noise & Vibration Process to avoid judder

Yoichi Ooi, Hiroki Tsuji, Aisin AW Japan

VDI conference, June 2011

Trend:

• Early lock-up closing to reduce losses,

• Higher torques at lower engine speeds

• Increasing nbr. of vehicle variant

Potential issues

• Solving judder problems (10 & 40 Hz) at integration

phase.

Goal: Establish procedure to avoid judder

Implemented procedure

• Full vehicle modeling (not only gearbox, torque

converter & lock-up)

• Simulating several drive cycle with a range a vehicle

parameters

• Sensitivity analysis

• Foreseen and solve potential judder problems before

production & gearbox integration

Full vehicle judder simulation

Rotational driveline model

Engine

Torque converter

Clutch control

Clutch & gears

Vehicle



Summary

• Vehicle-level functions drive the design process

• Innovation is at intersection of Mechanical & Controls

Engineering. This mandates Model Based System

Engineering (MBSE)

• MBSE starts to be standard practice in Europe/US and

is emerging in Asia

• Next challenges are related to the organization and

deployment of modeling activities into design process



David GAGNE

Director LMS Imagine.Lab Business Development

Siemens Industry Software S.A.S.

Digital Factory Division

Product Lifecycle Management

Simulation & Test Solutions

DF PL STS Q

La cité internationale

84, quai Charles de Gaulle - 69006 Lyon [France]

T: +33 4 37 69 79 26

M: +33 6 84 82 19 05

@: [email protected]

Model Based System Engineering Applications & Challenges · Model Based System Engineering...

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