SDM for Systems Simulation Challenges and Solution Approach for Process and Data Management

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Incorporating the 1st SDM for Systems Simulation Challenges and Solution

Günter Staub, PDTec AG Copyright 2013 by PDTec AG. All Rights reserved.

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1 Incorporating the 1st SDM for Systems Simulation Challenges and Solution Approach for Process and Data Management Dr. Günter Staub, PDTec AG Copyright 2013 by PDTec AG. All Rights reserved. The information contained in this publication is owned by PDTec. The reproduction and distribution of this publication or parts thereof, for any purpose in any form whatsoever without the explicit written permission of PDTec is not permitted. These materials are subject to change without notice.

2 Contents Motivation Solution Concept: SDM for Systems Simulation Ongoing and next steps, Summary

3 Systems Simulation & Systems Engineering Systems Simulation is an integral part of Systems Engineering Systems Engineering is an interdisciplinary approach and means to enable the realization of successful products focuses on defining customer needs and required functionality early in the development process while considering the all aspects of the problem to be solved considers both the business and the technical needs of the customers with the goal of providing a quality product that meets the user needs

4 V-Model for Systems Engineering Requirements System Design Module Design Component Design System Test Module Test Component Test Component Implementation - Mechanics - Electric/Electronics - Software - System Integration Module Integration

5 Motivation for Systems Simulation (1) Requirements System Design Module Design Component Design As Is late system level response Component Implementation - Mechanics - Electric - Software - the later failures are found, the more expensive they are! System Integration Module Integration Question How to achieve an earlier system level response? Answer integrate System Simulation into your Development Process Requirements System Design Module Design Component Design To Be early system level response V-Model for System Simulation Component Implementation - Mechanics - Electric - Software - Source: adapted from BMW System Integration Module Integration early evaluation of systems reduce the risk of missing the best solution!

6 Motivation for Systems Simulation (2) Frühe Produktreifegrade verbessern Frühe Produktreifegrade verbessern Frontloading: Utilization of methods and ITsolutions in the early phase of the development Fixation of costs Costs of changes inter-disciplinary & integrative development methods for holistic and sustainable decisions. e.g., Systems Simulation Possibility of cost reduction Source: vif

7 Example of a System Perform. target torque velocity Engine volume flow rate engine heat Cooling Source: adapted from VW rotation speed System Signal Model A System represents an abstraction model of e.g. a car or sub-systems of it it consists of a set of models that are connected by input and output signals It supports the reasoning about its behavior by determining the behavior of its components (models) and their interactions A Model represent a function that delivers output signals based on its input signals and its internal behavior

8 Example of a System (Parallel Electric Hybrid Vehicle) Goal: virtual design and validation of the system full vehicle Cooling circuit Energy storage Internal Electrica combustion l machine engine Hybrid Driver controller electrical connection Drivetrain mechanical connection thermal coupling abstraction model of a parallel electric hybrid vehicle concept Source: vif

9 Contents Motivation SDM for Systems Simulation Approach for the development of a SDM Solution Challenges / Overall Requirements Results Reference Process for Systems Simulation Resulting Requirements for SDM for Systems Simulation Data Model for Systems Simulation SDM Solution for Systems Simulation Ongoing and next steps, Summary

10 Illustration of the Approach for the development of a SDM Solution for Systems Simulation identify & document existing use cases typical use cases, user terminology, process and data management requirements interviews with key users of the involved development units e.g. design of the system architecture, model implementation, model integration, system simulation and post processing, etc. analyze & document existing processes process and data management requirements existing processes workshops with the involved key users investigate the interactions between the involved development units / departments find process flaws / optimization potentials potentials define process for system simulation define data model for system simulation System Simulation Process System Simulation Data Model

11 Challenges / Overall Requirements (Excerpt) A SDM solution should support the whole process of system simulation system design, model design, model implementation, system integration, job submit & monitoring, post processing and reporting Multiple development units shall use the SDM solution in order to manage their models and their simulations independently as well as in a collaborative way different processes and different tools A SDM solution should support all kinds of simulations one simulation model, one solver (classical simulation) multiple homogenous simulation models, one solver multiple simulation models, multiple solvers (co-simulation)

System Responsible Model Responsible Model Implementer System Responsible CAE Engineer CAE Engineer CAE Engineer Reference Process for Systems Simulation incl.

and Simulation Execution Post Processing and Reporting M1 M1 M1 M 1,4 System S 1 a System S System 1,3 S System 1,3 S 1,3 a a a c c d c d d b b M 3,3 b b M 1 M M 1,4 1,4 M2,1 M 1,4 M2,1 M2,1 d M 3 c

12 System Responsible Model Responsible Model Implementer System Responsible CAE Engineer CAE Engineer CAE Engineer Reference Process for Systems Simulation incl. Roles and Results of each Phase Roles Process Phases Results System Design and Model Design Implement. System/ Model Integration Parameterization Config. and Simulation Execution Post Processing and Reporting M1 M1 M1 M 1,4 System S 1 a System S System 1,3 S System 1,3 S 1,3 a a a c c d c d d b b M 3,3 b b M 1 M M 1,4 1,4 M2,1 M 1,4 M2,1 M2,1 d M 3 c M3 M3 M 3,3 M 3,3 M 3,3 M 2 e e e e Configured and Parameterized System Input deck = (S 1,3 (step :=0.1, ), M 1,4 (a:= 3 m/s, ), M 2,1 ( ), M 3,3 ( )) Raw Simulation Results Final Simulation Results M 2,1 System Architecture (abstract) (Alternative) Realizations of models Configurable System (n x 100%)

13 Resulting Requirements for the SDM Data Model (1) from System Design Phase representation of systems and their decomposition models as components of systems might be occurrences of models within a library connection of models by input and output signals versioning of systems and models representation of the lifecycle of systems and models release status / workflows for systems associated car project milestone within the PEP creator and approval information

14 Resulting Requirements for the SDM Data Model (2) from Model Design and Implementation Phase representation of models functions as components of models model components are occurrences of functions within a library versioning of models and functions functions are connected by input and output signals discipline (e.g. thermal management, electrical system, driving performance & consumption) model granularity and scope of validity creator and approval information

15 Resulting Requirements for the SDM Data Model (3) from other phases representation of configuration information (expressions) parameter sets and their association to simulation models job submit and monitoring storage of raw / key results and simulation reports other requirements audit-trail and traceability integration of modeling tools and external partners discipline specific views filtering & search mechanisms

16 Resulting Data Model for Systems Simulation (excerpt, simplified) context input Simulation Run output System Architecture context* Configuration configuredsystem Input Output id versionid name description contains 2..n (INV) belongsto belongsto (INV) alternativetemplates 0..n configuredmodels 1..n containedmodels 1..n Model Implementation Simulation- Options id versionid name description belongsto (INV) alternativemodels 0..n Abstract Model Occurrence Model Template Simulation Model definition Simulation Model Occurrence solveroptions Parameter Set (ABS) Abstract Model definition (INV) usedby 0..n nativemodel TemplateFiles 1..n nativesimulation ModelFiles 1..n modelparameters inputs 1..n (INV) belongsto 0.. n outputs 1..n (INV) belongsto 0.. n Abstract Model Definition Template Stub Input Signal Output Signal

17 GUI for data and process management in system simulation Solution Concept for SDM for Systems Simulation (Summary) SDM for Systems Simulation System architecture breakdown, model occurrence, in-/out-signals Model library Model library model definitions, load cases, scenarios Signal library Results raw results, key results, simulation reports Co-Simulation Execution Platform (e.g. ICOS, TISC) Electrical system Definition and Maintenance of the System architecture Development of Component Models Energy storage Alternator models System / Model Integration System Configuration & Model Parameterization Simulation Execution Post Processing and Reporting Process / Authoring Tool Layer Load models iterations System Responsible CAE Engineer Model Responsible Model Implementer System Responsible

18 Contents Motivation SDM for Systems Simulation Ongoing and next steps, Summary

19 Ongoing and Next steps Demonstrator based on PDTec s SimData Manager Mapping of the resulting data model to the SimData Manager data model some extensions of the data model were required CAD/PDM data is not needed for Systems Simulation! existing generic functionality is used to allow a basic way of working Extend the demonstrator to a fully functional prototype e.g. deeper integration of the tool chain (Dymola, Simulink, Kuli, Adams, SimXpert, ) authoring tool for the development and maintenance of the System Architecture add convenience functionality Validation of the prototype in a pilot project

20 Summary A more holistic approach in the development of mechatronic systems, e.g. cars, is necessary Systems Engineering and Systems Simulation Simulation process and data management is one important ingredient for an optimal IT-support within a systems engineering based development process in addition: for ISO ( Road vehicles Functional safety ) compliance a SDM system for system simulation is required Within a project with an automotive OEM, the solution concept (reference process, data model, architecture, etc) was elaborated

21 Thank you for your attention Dr.-Ing. Günter Staub NAFEMS World Congress 2013 Salzburg, Austria June

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