Multi-core Simulation of Internal Combustion Engines using Modelica, FMI and xmod
|
|
- Laurence Thornton
- 5 years ago
- Views:
Transcription
1 CO 2 maîtrisé Carburants diversifiés Véhicules économes Raffinage propre Réserves prolongées Multi-core Simulation of Internal Combustion Engines using Modelica, FMI and xmod Abir Ben Khaled, IFPEN Mongi Ben Gaid, IFPEN Daniel Simon, INRIA Rhône Alpes Nicolas Pernet, IFPEN
2 2 Outline Introduction, context and motivations Engine modeling using Modelica and models interoperability using FMI Integration and multi-core execution using xmod Test cases and demos Conclusions
3 3 Context From off-line simulation to real-time simulation Off-line multi-core cosimulation platform Real-time multicore co-simulation platform Control algorithms development (Simulink,...) Controllers or actuators validations Real-time multicore co-simulation platform Physical components models development (OpenModelica, Dymola, AMESim...) virtual Virtual integration et experimentation laboratory Integration of heterogeneous models Validation of physical components on test beds semi-virtual semi-real
4 Motivations Processors evolution Computational power improvement in today processors is mainly driven by the augmentation of the number of cores per processor Concurrent execution of threads to exploit Thread Level Parallelism (TLP) Core 0 Core 1 Efficient exploitation of resources depends of Splitting applications into tasks Distributed scheduling of tasks Core 2 Core 3 4
5 5 Motivations Combining real and virtual
6 6 Motivations Enabling new concepts industrialization Developing new engine concepts that reduce pollutants and consumption requires the ability to simulate, in real-time, the incylinder behaviour (cylinders pressure) Core 0 Core 1 Core 2 Core 3
7 7 ModEngine library
8 8 Functional Mock-up interface (FMI) FMI is a set of specifications including FMI for model exchange : describes the software interface of a hybrid ODE (inputs, outputs, parameters, variables, API functions that a solver and an environment needs to call...) FMI for co-simulation : provides a software interface for coupling two or more simulation tools or components, in a master/slave scheme. A slave may be a component integrating both the model and its solver
9 xmod Concept A platform dedicated to models exploitation Heterogeneous model integration environment Standalone and optimal model exploitation Virtual experimentation laboratory To improve : Model exchange : Having the same tools is no longer necessary to share models improve the collaboration internally and externally 9
10 10 xmod contributions Proficiency : proficiency in simulation design tools is no longer the "entry ticket" for exploiting simulation Help models exploitation by non expert fields Tools choice : Modeling language choice has less impact on users Congregates the benefits of each tool for each specific application, without having to leave its own tools CPU time : xmod allows a parallel and optimized execution reduce the computation time License cost : model exploitation in xmod does not require any license of the original authoring tools if appropriate export features are used reduce license cost
11 11 xmod functionalities C C++ A.c B.cpp C. mdl D. ame E.mo F.gtm G.fmu A.xmodel B.xmodel C.xmodel D.xmodel E.xmodel F.xmodel G.fmu A.dll B.dll C.dll D.dll xmod Platform E.dll F.dll
12 12 xmod functionalities Specific interfaces creation Better simulation workspace customized for each engineering field Easy interactivity with the model in real-time Easy to use exchange vector of models Protect models know how
13 13 xmod functionalities Compatibility to new Functional Mock-up Interface (FMI) standard standard from MODELISAR project FMI-for-model exchange 1.0 Available solvers in xmod : Euler, Runge-Kutta, DASSL, DASKR, CVODE, LSODAR xmod Solver FMU Model FMI-for-cosimulation 1.0 xmod FMU Model Solver
14 14 Multi-core co-simulation : approach A B C D E F A B D A B D A B D C C C E F E F E F E F E F E F
15 Multi-core co-simulation : workflow Decompose the global system into subsystems (preferably with weak coupling) Export each subsystem to an FMU Assemble generated FMUs in xmod Each FMU is executed into a separate thread with a dedicated solver (fixed step or variable step) with a dedicated integration step-size with a dedicated communication step-size A global master ensures proper data transfer during communication points according to a well defined model of computation 15
16 Engine model splitting Partitioning engine model from a physical point of view Engine Simulator AirPath Minimize the number of discontinuities per subsystem Minimize integration interrupts Minimize interaction dynamics ECU Combustion chamber 1 Combustion chamber 2 Combustion chamber 3 Combustion chamber 4 16
17 Data exchange overview V a ria ble integ ra tion s tep E ng ine s im ula tor OR Fixed integ ra tion s tep C om m unic a tion s tep E ng ine s im ula tor C om m unic a tion s tep Initia liza tion E xc ha ng e 1 E xc ha ng e C om m unic a tion s tep E C U C ontroller
18 F4RT Wiebe test case Test case description Gasoline engine Modeled in Modelica/Dymola using IFPEN library ModEngine Split into 5 subsystems : AirPath + 4 cylinders Combustion chambers models are based on a Wiebe combustion model 500 µs communication step LSODAR used for integrating all split sub-models, except controls LSODAR tolerance = 10-4 Global simulator has 87 state variables and 420 event indicators 18
19 19 F4RT Wiebe test case Benefits of model splitting and co-simulation Events only here On single core, X2 speed-up Almost no events: Forward integration could performed
20 20 F4RT Wiebe test case Benefits of model splitting and co-simulation step size = max
21 Complete Diesel Hybrid vehicle demonstrator Test case description Diesel engine 12 gas model Modeled in AMESim using IFP-Engine library Combustion chambers models are based on Barba phenomenological combustion model Vehicle dynamics modeled in AMESim Complete controls Around 300 state variables 21
22 Complete Diesel Hybrid vehicle demonstrator Comparative results : Simulink & xmod 22 Using Simulink Requires applying a unique solver and step-size Euler solver with step-size of 25 µs applied to the global system Uses only one core of the machine Using xmod Engine model was split into 5 parts : air path + 4 cylinders Air path is integrated using Euler solver with 100 µs Cylinders are integrated using Euler solver with 25 µs Vehicle model is integrated with RK4 solver with 500 µs Remaining models and controls are run with appropriate solvers and step-sizes (from 500 µs to 100 ms) Results A speedup of X25 was observed on a 6-core machine using xmod wrt Simulink Simulation in xmod is 20% faster than real-time
23 Conclusion Approach for complex systems simulation Similar speed-up results observed with other engine models This approach was successfully to production models from automotive OEM OpenProd remaining objectives Integrating OpenModelica to this toolchain Linux & Xenomaï compatibility 23
From Physical Modeling to Real-Time Simulation : Feed back on the use of Modelica in the engine control development toolchain
Proceedings 8th Modelica Conference, Dresden, Germany, March 2-22, 211 From Physical Modeling to Real-Time Simulation : Feed back on the use of Modelica in the engine control development toolchain Zakia
More informationFunctional Mockup Interface for Tool and Model Interoperability
Functional Mockup Interface for Tool and Model Interoperability Willi Braun, Bernhard Bachmann Acknowledgements: FMI Development Project is developing FMI. Most slides in this presentation by Martin Otter,
More informationImporting Models from Physical Modeling. Tools Using the FMI Standard
Importing Models from Physical Modeling Tools Using the FMI Standard Overview The objective of this tutorial is to demonstrate the workflow for the integration of FMUs in DYNA4. The following use case
More informationFunctional Mockup Interface (FMI) A General Standard for Model Exchange and Simulator Coupling
Functional Mockup Interface (FMI) A General Standard for Model Exchange and Simulator Coupling Adeel Asghar and Willi Braun Linköping University University of Applied Sciene Bielefeld 2017-02-07 FMI Motivation
More informationINTEROPERABILITY WITH FMI TOOLS AND SOFTWARE COMPONENTS. Johan Åkesson
INTEROPERABILITY WITH FMI TOOLS AND SOFTWARE COMPONENTS Johan Åkesson 1 OUTLINE FMI Technology FMI tools Industrial FMI integration example THE FUNCTIONAL MOCK-UP INTERFACE Problems/needs Component development
More informationYosuke Ogata 1) Bruno Loyer 2) Antoine Viel 3)
20145255 433-20145255 New trends and methods for the co-simulation of strongly coupled systems using the Functional Mock-up Interface 2.0 Yosuke Ogata 1) Bruno Loyer 2) Antoine Viel 3) 1) LMS Japan, Arena
More informationMulti-Physics RecurDyn Style Interoperability
Multi-Physics RecurDyn Style Interoperability Brant Ross 1. System-Level Simulation 1.Multi-disciplinary Simulation Multiphysics for Fluid Structure Interaction Multiphysics = Any combination of CAE Multiphysics
More informationScicos/Modelica for modeling and simulation
Scicos/Modelica for modeling and simulation Masoud Najafi, INRIA-Rocquencourt Zakia Benjelloun-Dabaghi, IFP Présentation à la journée LMCS, 17 avril 2008, EDF Outline Introduction to Scilab & Scicos Modeling
More informationPOTENTIAL AND BENEFITS OF FUNCTIONAL MOCK-UP INTERFACE - FMI FOR VIRTUAL VEHICLE INTEGRATION
POTENTIAL AND BENEFITS OF FUNCTIONAL MOCK-UP INTERFACE - FMI FOR VIRTUAL VEHICLE INTEGRATION 1 WHY WOULD CARMAKER NEED FMI? New Challenges in vehicle development Hybrid and electric cars, networking functions...
More informationModel Based Systems Engineering Engine Control: from concept to validation. Jan Smolders Technical Account Manager
Model Based Systems Engineering Engine Control: from concept to validation Jan Smolders Technical Account Manager Table of Content Model Driven Development MiL SiL HiL Model adaptation to Real-Time Towards
More informationDesign Approach for a Generic and Scalable Framework for Parallel FMU Simulations
Center for Information Services and High Performance Computing TU Dresden Design Approach for a Generic and Scalable Framework for Parallel FMU Simulations Martin Flehmig, Marc Hartung, Marcus Walther
More informationFMI for Industrial Programmable Logic Controllers Rüdiger Kampfmann
FMI for Industrial Programmable Logic Controllers Rüdiger Kampfmann 07.02.2017 1 Outline Motivation Toolchain Application Limitations 2 Outline Motivation Toolchain Application Limitations 3 Motivation
More informationAnticipatory Shifting Optimization of a Transmission Control Unit for an Automatic Transmission through Advanced Driver Assistance Systems
Anticipatory Shifting Optimization of a Transmission Control Unit for an Automatic Transmission through Advanced Driver Assistance Systems Salim Chaker 1 Michael Folie 2 Christian Kehrer 1 Frank Huber
More informationSIMULATOR TO FMU: A PYTHON UTILITY TO SUPPORT BUILDING SIMULATION TOOL INTEROPERABILITY
2018 Building Performance Analysis Conference and SimBuild co-organized by ASHRAE and IBPSA-USA Chicago, IL September 26-28, 2018 SIMULATOR TO FMU: A PYTHON UTILITY TO SUPPORT BUILDING SIMULATION TOOL
More informationParallel Execution of Functional Mock-up Units in Buildings Modeling
ORNL/TM-2016/173 Parallel Execution of Functional Mock-up Units in Buildings Modeling Ozgur Ozmen James J. Nutaro Joshua R. New Approved for public release. Distribution is unlimited. June 30, 2016 DOCUMENT
More informationFMI Kit for Simulink version by Dassault Systèmes
FMI Kit for Simulink version 2.4.0 by Dassault Systèmes April 2017 The information in this document is subject to change without notice. Copyright 1992-2017 by Dassault Systèmes AB. All rights reserved.
More informationEFFICIENT DEVELOPMENT OF COMPLEX SYSTEMS USING A UNIFIED MODULAR APPROACH
DocumentID: 370201 EFFICIENT DEVELOPMENT OF COMPLEX SYSTEMS USING A UNIFIED MODULAR APPROACH U. Wurstbauer, M. Herrnberger, A. Raufeisen, V. Fäßler TWT GmbH Science & Innovation, Ernsthaldenstr. 17, 70565
More informationConsistent Simulation Environment with FMI based Tool Chain
Consistent Simulation Environment with FMI based Tool Chain Edo Drenth 1, Mikael Törmänen 2, Krister Johansson 2, Bengt-Arne Andersson 1,Daniel Andersson 1, Ivar Torstensson 1, Johan Åkesson 1 1 Modelon
More informationThe Functional Mockup Interface for Tool independent Exchange of Simulation Models
The Functional Mockup Interface for Tool independent Exchange of Simulation Models T. Blochwitz 1, M. Otter 2, M. Arnold 3, C. Bausch 4, C. Clauß 5, H. Elmqvist 9, A. Junghanns 6, J. Mauss 6, M. Monteiro
More informationTERRA support for architecture modeling. K.J. (Karim) Kok. MSc Report. C e Dr.ir. J.F. Broenink Z. Lu, MSc Prof.dr.ir. A. Rensink.
TERRA support for architecture modeling K.J. (Karim) Kok MSc Report C e Dr.ir. J.F. Broenink Z. Lu, MSc Prof.dr.ir. A. Rensink August 2016 040RAM2016 EE-Math-CS P.O. Box 217 7500 AE Enschede The Netherlands
More informationDecoupling Test Cases from Real and Virtual Test Systems with ASAM HIL API
Decoupling Test Cases from Real and Virtual Test Systems with ASAM HIL API Dr. Rainer Rasche, dspace GmbH Dr. Dietmar Neumerkel, Daimler AG Workshop der ASIM/GI-Fachgruppen Simulation technischer Systeme
More informationHow Real-Time Testing Improves the Design of a PMSM Controller
How Real-Time Testing Improves the Design of a PMSM Controller Prasanna Deshpande Control Design & Automation Application Engineer MathWorks 2015 The MathWorks, Inc. 1 Problem Statement: Design speed control
More informationModeling Structural - Dynamics Systems in MODELICA/Dymola, MODELICA/Mosilab and AnyLogic
Modeling Structural - Dynamics Systems in MODELICA/Dymola, MODELICA/Mosilab and AnyLogic Günther Zauner 1,2, Daniel Leitner 3, Felix Breitenecker 1 1 Vienna University of Technology, Wiedner Hauptstr.
More informationDymola Dynamic Modeling Laboratory
Dymola Dynamic Modeling Laboratory FMI Support in Dymola Contents: Section FMI Support in Dymola from Chapter 6 Other Simulation Environments from the manual Dymola User Manual Volume 2. March 2018 (Dymola
More informationHigh-Performance-Computing meets OpenModelica: Achievements in the HPC-OM Project
OpenModelica Workshop 2015 High-Performance-Computing meets OpenModelica: Achievements in the HPC-OM Project Linköping, 02/02/2015 HPC-OM www.hpc-om.de slide 2 Outline Outline 1. Parallelization Approaches
More informationSimulation-based development of automotive control software with Modelica
Simulation-based development of automotive control software with Modelica Emmanuel Chrisofakis, Dr. Anton Rink, Daimler AG Dr. Andreas Junghanns, QTronic GmbH Christian Kehrer, ITI GmbH 8th International
More informationFMI to NI VeriStand & LabVIEW Add-on. User Guide
F FMI to NI VeriStand & LabVIEW Add-on User Guide 2 FMI To NI VeriStand & LabVIEW User Guide - 3 - FMI To NI VeriStand & LabVIEW Import FMU Model in NI VeriStand and LabVIEW FMI To NI VeriStand & LabVIEW
More informationModel-Based Development of Multi-Disciplinary Systems Challenges and Opportunities
White Paper Model-Based Development of Multi-Disciplinary Systems Challenges and Opportunities Model-Based Development In the early days, multi-disciplinary systems, such as products involving mechatronics,
More informationDymola Dynamic Modeling Laboratory
Dymola Dynamic Modeling Laboratory FMI Support in Dymola Contents: Section FMI Support in Dymola from Chapter 6 Other Simulation Environments from the manual Dymola User Manual Volume 2. March 2017 (Dymola
More informationEnsuring quality for ADAS applications with a model-based approach
Åsa Björnemark, Manager Test Solutions, Vector Scandinavia V1.0 2015-12-03 Volvo Car Statement We are building fewer and fewer test vehicles, and we need to find alternative ways to verify functions in
More informationEtherCAT with MORPHEE 2, D2T s Automation System A fast and reliable communication with the test bed
EtherCAT with MORPHEE 2, D2T s Automation System A fast and reliable communication with the test bed Ing Jérémie EFFLAME (1) ; Ing Stéphane PELLETIER (2) 1) Product department, 11 rue Denis Papin, 78190
More informationPrototyping and Deployment of Real- Time Signal Processing Algorithms for Engine Control and Diagnosis
Controlled CO 2 Diversified fuels Fuel-efficient vehicles Clean refining Extended reserves Prototyping and Deployment of Real- Time Signal Processing Algorithms for Engine Control and Diagnosis Fabrice
More informationAutomatic Regression Testing of Simulation Models and Concept for Simulation of Connected FMUs in PySimulator
Automatic Regression Testing of Simulation Models and Concept for Simulation of Connected FMUs in Adeel Asghar 1 Andreas Pfeiffer 2 Arunkumar Palanisamy 1 Alachew Mengist 1 Martin Sjölund 1 Adrian Pop
More informationVeriStand. FMI to NI VeriStand Add-on. User Guide
MI To NI VeriStand F FMI to NI VeriStand Add-on User Guide 2 FMI To NI VeriStand Import FMU Model in NI VeriStand FMI To NI VeriStand Add-on Release 1.5.1 3 The information in this document is subject
More informationExtending the IPG CarMaker by FMI Compliant Units
Extending the IPG CarMaker by FMI Compliant Units Stephan Ziegler and Robert Höpler Modelon GmbH München Agnes-Pockels-Bogen 1, 80992 München, Germany {stephan.ziegler,robert.hoepler}@modelon.com Abstract
More informationExperiences with the new FMI Standard Selected Applications at Dresden University
Experiences with the new FMI Standard Selected Applications at Dresden University Christian Schubert a Thomas Neidhold b Günter Kunze a a Dresden University of Technology, Chair of Construction Machines
More informationMathieu Dutré - Application Specialist MBSE. Analysis and optimization of physical models for HIL simulation
Mathieu Dutré - Application Specialist MBSE Analysis and optimization of physical models for HIL simulation Smarter decisions, better products. Industry drivers for HIL simulation Model Driven Virtual
More informationInteroperability in Aerospace Public Use Case of CRYSTAL project
Interoperability in Aerospace Public Use Case of CRYSTAL project December 3 rd, 2013. Francesco Brunetti, Politecnico di Torino Summary CRYSTAL Overview; CRYSTAL WP2.08: Public Use Case; Public Use Case,
More informationraceability Support in OpenModelica Using Open Services for Lifecycle Collaboration (OSLC)
raceability Support in OpenModelica Using Open Services for Lifecycle Collaboration (OSLC) Alachew Mengist, Adrian Pop, Adeel Asghar, Peter Fritzson MODPROD 2017, Linköping 2017-02-02 1 Agenda Problem
More informationFMI Toolbox User's Guide 2.3
FMI Toolbox User's Guide 2.3 FMI Toolbox User's Guide 2.3 Publication date 2015-03-03 Copyright 2016 Modelon AB Ideon Science Park SE-22370 LUND Self publishing ALL RIGHTS RESERVED.
More informationThis is the published version of a paper presented at IEEE PES General Meeting 2013.
http://www.diva-portal.org This is the published version of a paper presented at IEEE PES General Meeting 2013. Citation for the original published paper: Vanfretti, L., Li, W., Bogodorova, T., Panciatici,
More informationPAPYRUS TOOL SUPPORT FOR FMI
PAPYRUS TOOL SUPPORT FOR FMI Ericsson Modeling Days 2016 Kista, Sweden, September 13-14, 2016 Sahar GUERMAZI, Sébastien REVOL, Arnaud CUCCURU, Saadia DHOUIB, Jérémie TATIBOUET, Sébastien GERARD CEA LIST
More informationPractical approaches for re-architecture with benefits for AUTOSAR or non-autosar implementations Dave Hoadley Principle Pilot Engineer
Practical approaches for re-architecture with benefits for AUTOSAR or non-autosar implementations Dave Hoadley Principle Pilot Engineer 2013 The MathWorks, Inc. 1 Simulink Model Architecture Partitioning
More informationExternal Interface(s) Application Guide
EnergyPlus Version 8.9.0 Documentation External Interface(s) Application Guide U.S. Department of Energy March 23, 2018 Build: 40101eaafd COPYRIGHT (c) 1996-2018 THE BOARD OF TRUSTEES OF THE UNIVERSITY
More informationFULL VIRTUALIZATION OF RENAULT'S ENGINE MANAGEMENT SOFTWARE APPLICATION TO SYSTEM DEVELOPMENT
FULL VIRTUALIZATION OF RENAULT'S ENGINE MANAGEMENT SOFTWARE APPLICATION TO SYSTEM DEVELOPMENT D. von Wissel, Y. Jordan,, RENAULT A. Dolha, J. Mauss QTronic Introduction Renault has an established engine
More informationSIMPACK - A Tool for Off-Line and Real- Time Simulation
SIMPACK - A Tool for Off-Line and Real- Time Simulation Real-Time for ECU Testing: State of the Art and Open Demands SIMPACK - Code Export: A Newly Emerging Module for Real-Time Models Application Example
More informationExternal Interface(s) Application Guide
TM EnergyPlus Documentation External Interface(s) Application Guide Guide for using EnergyPlus with External Interface(s) (internalize these external details...) COPYRIGHT (c) 1996-2015 THE BOARD OF TRUSTEES
More informationExploitable Results by Third Parties
Advanced Co-simulation Open System Architecture Project details Project leader: Email: Website: Dr. Martin Benedikt martin.benedikt@v2c2.at www.acosar.eu itea3.org/project/acosar.html 2 Name: DCP Specification
More informationUsing Cost Effective Distributed HIL for Rapid Prototyping
Using Cost Effective Distributed HIL for Rapid Prototyping Renesas Electronics America Inc. Enabling Smart Solutions Embedded Control Systems need Hardware-in-Loop Simulation 2 Innovation using HIL Simulation
More informationFMI Toolbox User's Guide 2.6.4
FMI Toolbox User's Guide 2.6.4 FMI Toolbox User's Guide 2.6.4 Publication date 2018-07-23 Copyright 2018 Modelon AB Ideon Science Park SE-22370 LUND Self publishing ALL RIGHTS RESERVED.
More informationA Pattern-supported Parallelization Approach
A Pattern-supported Parallelization Approach Ralf Jahr, Mike Gerdes, Theo Ungerer University of Augsburg, Germany The 2013 International Workshop on Programming Models and Applications for Multicores and
More informationFunctional Mockup Interface for Model Exchange and Co-Simulation
Functional Mockup Interface for Model Exchange and Co-Simulation Torsten Blochwitz (ITI Dresden, FMI MAP Project Leader) Members of the FMI Modelica Association Project Motivation Problems / Needs Component
More informationEngine Calibration Process for Evaluation across the Torque- Speed Map
Engine Calibration Process for Evaluation across the Torque- Speed Map Brian Froelich Tara Hemami Manish Meshram Udaysinh Patil November 3, 2014 Outline : Background Objective Calibration process for torque
More informationDevelopment of Custom Workflows for Simulation and Analysis of Functional Mock-up Units
Development of Custom Workflows for Simulation and Analysis of Functional Mock-up Units Sureshkumar Chandrasekar 1 Jesse Gohl 2 1 Modelon Inc. 2 Modelon Inc. Hartford, CT Ann Arbor, MI United States United
More informationRT-MaG: an open-source SIMULINK Toolbox for Linux-Based Real-Time Robotic Applications
: an open-source SIMULINK Toolbox for Linux-Based Real-Time Robotic Applications Manecy Augustin 1,2 Marchand Nicolas 2 Viollet Stéphane 1 1 Biorobotic Department, Aix-Marseille Université/CNRS, Marseille,
More informationClick to edit Master title style SECRET
Click to edit Master title style SECRET Enabling Model-Based Design: Robust Collaborative Development of Embedded Systems William P. Milam, Ford Eileen Davidson, Ford John Mills, SimuQuest Agenda Click
More informationDymola Dynamic Modeling Laboratory
Dymola Dynamic Modeling Laboratory Dymola Release Notes Dymola 2018 FD01 The information in this document is subject to change without notice. Document version: 1 Copyright 1992-2017 by Dassault Systèmes
More informationIntroducing Overdecomposition to Existing Applications: PlasComCM and AMPI
Introducing Overdecomposition to Existing Applications: PlasComCM and AMPI Sam White Parallel Programming Lab UIUC 1 Introduction How to enable Overdecomposition, Asynchrony, and Migratability in existing
More informationHandling Challenges of Multi-Core Technology in Automotive Software Engineering
Model Based Development Tools for Embedded Multi-Core Systems Handling Challenges of Multi-Core Technology in Automotive Software Engineering VECTOR INDIA CONFERENCE 2017 Timing-Architects Embedded Systems
More informationGeneration of Functional Mock-up Units from Causal Block Diagrams
Generation of Functional Mock-up Units from Causal Block Diagrams Bavo Vander Henst University of Antwerp Model Driven Engineering Bavo.VanderHenst@student.uantwerpen.be Abstract The purpose of this paper
More informationReal-time transient stability simulation tool
ephasorsim: Real-time transient stability simulation tool Vahid Jalili-Marandi, Ph.D. OPAL-RT Technologies Vahidj@opal-rt.com 1 Large 10 000+ Nodes Wide Area Simulation ephasorsim Large EMT Simulation
More informationVirtual Integration of Engine, Vehicle and AT Systems: Approaches, Challenges & Benefits
Virtual of Engine, Vehicle and AT Systems: es, & Benefits Wen Wang, Andy Leonard, Syed Wahiduzzaman, Christian Armbruster and Christopher Contag Gamma Technologies Inc. Enrico Pautasso POWERTECH Engineering
More informationInterfacing Chrono & Matlab. Chrono units for MATLAB and SIMULINK
Interfacing Chrono & Matlab Chrono units for MATLAB and SIMULINK Chrono::MATLAB Module for interfacing Chrono and MATLAB 2 Chrono::MATLAB Chrono::MATLAB is a C++ module that enables communication with
More informationVirtual Validation of Cyber Physical Systems
Virtual Validation of Cyber Physical Systems Patrik Feth, Thomas Bauer, Thomas Kuhn Fraunhofer IESE Fraunhofer-Platz 1 67663 Kaiserslautern {patrik.feth, thomas.bauer, thomas.kuhn}@iese.fraunhofer.de Abstract:
More informationEnhancement of the building simulation software TRNSYS by coupling to the VEPZO model programmed in Modelica
Enhancement of the building simulation software TRNSYS by coupling to the VEPZO model programmed in Modelica Svea Kübler 1,2 Victor Norrefeldt 1 1: Fraunhofer-Institute for Building Physics, Fraunhoferstr.
More informationModel-Based Dynamic Optimization with OpenModelica and CasADi
Model-Based Dynamic Optimization with OpenModelica and CasADi Alachew Shitahun PELAB Programming Environment Lab, Dept. Computer Science Linköping University, SE-581 83 Linköping, Sweden Vitalij Ruge Mathematics
More informationOVERVIEW OF TRENDS IN ONBOARD DIAGNOSTICS WITH RESPECT TO MULTICORE SYSTEMS COMPUTING PERFORMANCES
OVERVIEW OF TRENDS IN ONBOARD DIAGNOSTICS WITH RESPECT TO MULTICORE SYSTEMS COMPUTING PERFORMANCES 12 May 2016, Stuttgart ANNUAL AUTOMOTIVE EMBEDDED MULTI-CORE SYSTEMS SUMMIT Ing. Attilio Brighenti attilio.brighenti@sate-italy.com
More informationCo-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware
Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware Benjamin Camus, Thomas Paris, Julien Vaubourg, Yannick Presse, Christine Bourjot, Laurent Ciarletta, Vincent
More informationSIMulation Workbench and HIL testing at Ford Motor Company
A Concurrent Real-Time White Paper SIMulation Workbench and HIL testing at Ford Motor Company Charlie Johnston Concurrent Real-Time Tim Cardanha Ford Motor Company 1 Background In the August 2003 issue
More informationFMI for physical models on automotive embedded targets
FMI for physical models on automotive embedded targets Christian Bertsch 1 Jonathan Neudorfer 1 Elmar Ahle 1 Siva Sankar Arumugham 2 Karthikeyan Ramachandran 2 Andreas Thuy 3 1 Robert Bosch GmbH, Corporate
More informationSensor Fusion with RTMaps on an Embedded Platform
Sensor Fusion with RTMaps on an Embedded Platform Jacob Perrin and Theo King Applications Engineers dspace Inc. 50131 Pontiac Trail Wixom, MI 48393 USA 1 Agenda 1. RTMaps Embedded Overview 2. Demo: RTMaps
More informationParallelism paradigms
Parallelism paradigms Intro part of course in Parallel Image Analysis Elias Rudberg elias.rudberg@it.uu.se March 23, 2011 Outline 1 Parallelization strategies 2 Shared memory 3 Distributed memory 4 Parallelization
More informationVirtual engineering at work: the challenges for designing mechatronic products
Engineering with Computers (2013) 29:389 408 DOI 10.1007/s00366-012-0286-6 ORIGINAL ARTICLE Virtual engineering at work: the challenges for designing mechatronic products Herman Van der Auweraer Jan Anthonis
More informationVariable Structure Modeling for Vehicle Refrigeration Applications
Variable Structure Modeling for Vehicle Refrigeration Applications Imke Krüger Alexandra Mehlhase Gerhard Schmitz Hamburg University of Technology, Department of Technical Thermodynamics Denickestr. 17,
More informationBetter Building Controls Through Simulation
Better Building Controls Through Simulation John M. House, Ph.D. IBPSA-USA Winter Meeting January 21, 2012 Outline Who We Are Our Simulation Needs Simulation Tools We Use Use Cases Matching Needs with
More informationV&V: Model-based testing
V&V: Model-based testing Systems Engineering BSc Course Budapest University of Technology and Economics Department of Measurement and Information Systems Traceability Platform-based systems design Verification
More informationECE519 Advanced Operating Systems
IT 540 Operating Systems ECE519 Advanced Operating Systems Prof. Dr. Hasan Hüseyin BALIK (10 th Week) (Advanced) Operating Systems 10. Multiprocessor, Multicore and Real-Time Scheduling 10. Outline Multiprocessor
More informationGeneric FMI-compliant Simulation Tool Coupling
Edmund Widl 1 Wolfgang Müller 2 1 Center for Energy, AIT Austrian Institute of Technology, Austria, edmund.widl@ait.ac.at 2 Institute of Analysis and Scientific Computing, TU Wien, Austria, wolfgang.mueller@student.tuwien.ac.at
More informationTeam-Based Collaboration in Simulink
Team-Based Collaboration in Simulink Sonia Bridge 2015 The MathWorks, Inc. 1 Create tools that make it easy for teams to manage the full lifecycle of their Model-Based Design projects Collaborate Integrate
More informationAutomatic Code Generation Technology Adoption Lessons Learned from Commercial Vehicle Case Studies
08AE-22 Automatic Code Generation Technology Adoption Lessons Learned from Commercial Vehicle Case Studies Copyright 2007 The MathWorks, Inc Tom Erkkinen The MathWorks, Inc. Scott Breiner John Deere ABSTRACT
More informationEXOCHI: Architecture and Programming Environment for A Heterogeneous Multicore Multithreaded System
EXOCHI: Architecture and Programming Environment for A Heterogeneous Multicore Multithreaded System By Perry H. Wang, Jamison D. Collins, Gautham N. Chinya, Hong Jiang, Xinmin Tian, Milind Girkar, Nick
More informationApplying Multi-Core Model Checking to Hardware-Software Partitioning in Embedded Systems
V Brazilian Symposium on Computing Systems Engineering Applying Multi-Core Model Checking to Hardware-Software Partitioning in Embedded Systems Alessandro Trindade, Hussama Ismail, and Lucas Cordeiro Foz
More informationFMI WORKSHOP. INCOSE International Workshop, Los Angeles, CA, Contents. Introduction
FMI WORKSHOP INCOSE International Workshop, Los Angeles, CA, 2015 Contents Introduction...1 Model Overview...2 Model Systems...2 Model Features...3 Key Parameters...6 File Structure...6 Demonstration:
More informationParallel Programming Environments. Presented By: Anand Saoji Yogesh Patel
Parallel Programming Environments Presented By: Anand Saoji Yogesh Patel Outline Introduction How? Parallel Architectures Parallel Programming Models Conclusion References Introduction Recent advancements
More informationConcept Presentation. MAENAD Analysis Workbench
Concept Presentation MAENAD Analysis Workbench Outline, tooling with EAST-ADL MAENAD Modeling Workbench EAST-ADL profile, implemented in Eclipse/Papyrus UML MAENAD Analysis Workbench Eclipse plugins for
More informationHolistic Assessment of Cyber-physical Energy Systems Facilitated by Distributed Real-time Coupling of Hardware and Simulators
1 Holistic Assessment of Cyber-physical Energy Systems Facilitated by Distributed Real-time Coupling of Hardware and Simulators dr. A. A. (Arjen) van der Meer, M.Sc. TU Delft, the Netherlands a.a.vandermeer@tudelft.nl
More informationModelica-Association-Project System Structure and Parameterization Early Insights
Modelica-Association-Project System Structure and Parameterization Early Insights Jochen Köhler 1 Hans-Martin Heinkel 2 Pierre Mai 3 Jürgen Krasser 4 Markus Deppe 5 Mikio Nagasawa 6 1 ZF Friedrichshafen
More informationFurther Developments and Applications of SIMPACK Code Export
Further Developments and Applications of SIMPACK Code Export Frank Kohlschmied, Intec GmbH Introduction New Developments in SIMPACK Code Export C-Code Export Code Export-Executable usable as partner in
More informationMulticore Migration Study in Automotive Powertrain Domain
2 nd Workshop on Certifiable Multicore Avionics and Automotive Systems Multicore Migration Study in Automotive Powertrain Domain 21/Apr/2017 Hitachi, Ltd., Takeshi Fukuda Tasuku Ishigooka, Fumio Narisawa
More informationVisual Analysis of Lagrangian Particle Data from Combustion Simulations
Visual Analysis of Lagrangian Particle Data from Combustion Simulations Hongfeng Yu Sandia National Laboratories, CA Ultrascale Visualization Workshop, SC11 Nov 13 2011, Seattle, WA Joint work with Jishang
More informationReal-Time Execution in NI VeristandTM
High-Performance Physical Modeling and Simulation Mean-Value Internal Combustion Engine Model: Real-Time Execution in NI VeristandTM Introduction The development of high-fidelity predictive models of vehicle
More informationHeterogeneous systems co-simulation: a model-driven approach based on SysML State Machines and Simulink
Heterogeneous systems co-simulation: a model-driven approach based on SysML State Machines and Simulink Massimo Bombino 1 Matthew Hause 2 Patrizia Scandurra 3 1 Atego, Peschiera Borromeo (MI), Italy -
More informationelektronik Security for Software and IT ECU ENERGY STORAGE TESTING COVER STORY Gasoline Direct Injection in-the-loop
www.atzonline.com 03 May 2015 Volume 10 elektronik W O R L D W I D E COVER STORY Security for Software and IT ECU Gasoline Direct Injection in-the-loop TESTING Tablets in Mobile Measurement Technique ENERGY
More informationA hybrid slurry CFD model: Euler-Euler to Euler-Lagrange
5th-6th December 2016 A hybrid slurry CFD model: Euler-Euler to Euler-Lagrange Alasdair Mackenzie Weir Advanced Research Centre, University of Strathclyde, Glasgow, Scotland Outline Background, context
More informationUsing SPARK as a Solver for Modelica. Michael Wetter Philip Haves Michael A. Moshier Edward F. Sowell. July 30, 2008
Using SPARK as a Solver for Modelica Michael Wetter Philip Haves Michael A. Moshier Edward F. Sowell July 30, 2008 1 Overview Overview of SPARK, Modelica, OpenModelica, Dymola Problem reduction SPARK integration
More informationModel-based Calibration of HD Engines. Benjamin Tilch, Rico Möllmann, Axel Steinmann, Dr. Reza Rezaei GT-SUITE Conference, Frankfurt, October 2014
Model-based Calibration of HD Engines Benjamin Tilch, Rico Möllmann, Axel Steinmann, Dr. Reza Rezaei GT-SUITE Conference, Frankfurt, October 2014 Model-based Calibration of HD Engines Contents Introduction
More informationIntroduction to Physical Modelling Rory Adams Senior Application Engineer
Introduction to Physical Modelling Rory Adams Senior Application Engineer 2014 The MathWorks, Inc. 1 Creating Reusable Physical Models What you should walk away with Increased knowledge of: What is meant
More informationGuido Sandmann MathWorks GmbH. Michael Seibt Mentor Graphics GmbH ABSTRACT INTRODUCTION - WORKFLOW OVERVIEW
2012-01-0962 AUTOSAR-Compliant Development Workflows: From Architecture to Implementation Tool Interoperability for Round-Trip Engineering and Verification & Validation Copyright 2012 The MathWorks, Inc.
More informationModern techniques bring system-level modeling to the automation industry
Modern techniques bring system-level modeling to the automation industry Philipp Wallner, Global Technology Manager, Bernecker + Rainer Industrie and Johannes Friebe, MapleSim Europe Director, Maplesoft
More informationConference Dynamic Simulation in Vehicle Engineering Realtime Simulation of Vehicles Containing Detailed Components
General Conference Dynamic Simulation in Vehicle Engineering Realtime Simulation of Vehicles Containing Detailed Components SIMPACK AG 2014, All rights reserved. SIMPACK Introduction Agenda SIMPACK AG
More information