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A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and Maintenance. Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de Stefan KlimkeVolkswagen AG Gabriel ZachmannUniversity of Bremen - PowerPoint PPT Presentation
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A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and MaintenanceMoritz Cohrs Volkswagen AG, University of Bremen
moritz.cohrs@volkswagen.deStefan Klimke Volkswagen AGGabriel Zachmann University of Bremen
ISVC’13, Jul 2013, Rethymnon, Crete, Greece
Motivation Function-oriented Data Integration Our Methodology Conclusions 2
Outline
1. Motivation2. Function-oriented Data Integration3. Our Methodology4. Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 3
An Increase in Complexity
A major challenge in current automotive development is the high degree of complexity. Ever increasing amount of vehicle functions,
electrics/electronics, and networking Increasing diversity of variants and configurations
1974 TODAY
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 4
Function-oriented Development
Function-orientation enhances a component-driven view by shifting the focus to complete vehicle functions
Vehicle functions = mechatronic systems (comprising x and y and z)Motivation Function-oriented Data Integration Our Methodology Conclusions
Traditional component-orienteddevelopment
Function-oriented development
The function defines the necessary components
The documentation of a component defines the dedicated function
FORMER TODAY
A
B
..
.
n
components f1 functionsf2 n ...
...
components
Motivation Function-oriented Data Integration Our Methodology Conclusions 5
Examples of Function Architectures
headlamp flasher
Controllers
Actuators
Sensors
Motivation Function-oriented Data Integration Our Methodology Conclusions
park assist
Motivation Function-oriented Data Integration Our Methodology Conclusions 6
Current Challenges and Issues
Complexity of mechatronic systems High amount of functions, variants and configurations
(Volkswagen system description includes 300 functions on 911 pages)
Significant challenges for developing engineers and service technicians
Architecture diagrams do not provide information about the spatial distribution of functions in actual vehicle configurations
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 7
Virtual Technologies for CAD and DMU
We understand virtual technologies as applied virtual und augmented reality in the field of virtual prototyping
Established technologies have many areas of application,like CAD and DMU (Design reviews, assembly analyses, etc.)
Such technologies improve product quality, time-to-market, competitiveness and cost-efficiency
Research Question:How to exploit the potentials of virtual technologies to help manage the growing complexities with function-oriented development?
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 8
Integration
Function architectures
CAD models
Our Data Integration Approach
Our approach integrates function architectures with CAD models
We derived requirements for a consistent data-mapping We developed an XML schema for system-independent
description and utilization of function architectures Prototypical implementation within an established
visualization systemMotivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 9
A novel interdisciplinary Approach
Our work bridges two domains of automotive development:
Contribution: A novel methodology to process function-oriented data
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 10
Our Contribution
We propose a novel methodology for Virtual Vehicle Function Visualization and Analysis
Goals: Assisting a function-oriented development:
- Improving quality of function architecture designs- Enabling early detection of assembly-related issues- Mastering complexity and Increasing transparency and
communication along PLM
Assisting service and maintenance- Increasing tracking time for components and wiring harness - Fast acquisition of function-related information- Mastering the diversity of variants and configurations
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 11
Our Visualization MethodologyFunction architecture of an automotive headlamp flasher function
Motivation Function-oriented Data Integration Our Methodology Conclusions
Our function visualization makes it possible to trace the spatial distribution and location of function components and connections in actual vehicle configurations
Controllers
Actuators
Sensors
Headlamp Flasher
Steering Pillar Module
InstrumentCluster
Front Lights (L)
CAN-Bus
Display Front Lights (R)
Components:
Connections:
Body Control Module
Signal Wire
Motivation Function-oriented Data Integration Our Methodology Conclusions 12
Our visualization enables tracing of the actual power supply routing in a specifc vehicle configuration: Saving time in service tasks and functional validation Streamlining development of function architectures Early detection
of potential issues
Example: Power Supply Failure
Body Control Module
Front Light
Rear Light
Instrument Cluster
LightSide Mirror
Door Controller
Steering Column Module
Ignition Starter Lock
Load Divider
E-Box Engine Bay
Motivation Function-oriented Data Integration Our Methodology Conclusions
A direction indicator function
Motivation Function-oriented Data Integration Our Methodology Conclusions 13
Example: Grounding Connection
Body Control Module
Front Light
Rear Light
Instrument Cluster
LightSide Mirror
Door Controller
Steering Column Module
Ignition Starter Lock
Load Divider
E-Box Engine Bay
Motivation Function-oriented Data Integration Our Methodology Conclusions
The diagram on its own does not provide any information on the routing of the ground connection
We overcome this limitation by providing these information
Motivation Function-oriented Data Integration Our Methodology Conclusions 14
Example: CAN Bus Network
Our methods allows to answer many queries and helps to investiage different aspects during development Potential defects in relation to crash-zones Summed network lengths Etc.
Body Control Module
Front Light
Rear Light
Instrument Cluster
LightSide Mirror
Door Controller
Steering ColumnModule
Ignition Starter Lock
Load Divider
EM-Box Engine Bay
Radio
Clima Controller
Door Controller
(right)
Gateway Trailer Control
The dotted box includes other members of the CAN network
Motivation Function-oriented Data Integration Our Methodology Conclusions
The full CAN network is highlighted in red
Motivation Function-oriented Data Integration Our Methodology Conclusions 15
Methodology: Interactive Data Exploration
Our methodology enables an interactive exploration of geometric product data so that related function-oriented information can be acquired for given function elements
Get FunctionsParking LightHeadlamp FlasherDynamic Light Assist...
PropertiesName:
BCM
Type: Controller
...GetFunctions
Motivation Function-oriented Data Integration Our Methodology Conclusions
PropertiesName:
BCM
Type: Controller
...GetFunctions
Get FunctionsParking LightHeadlamp FlasherDynamic Light Assist...Additional
information Related vehicle functions
Motivation Function-oriented Data Integration Our Methodology Conclusions 16
Conclusions
Our methodology enables novel, beneficial options for: Visualization of function architectures Analysis of functional properties (incorporating geometric
information) Visual communication of function architectures
There are beneficial applications in many fields, including: Function-oriented development System validation and verification Service and Maintenance
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 17
Future Work
Integration of the function-oriented methodology into established visualization systems to fully exploit the potentials of the proposed methods in daily work flows
Further advancement of interdisciplinary approaches towards a more comprehensive virtual prototyping, for example by coupling our approach with simulation data (functional mock-up)
geometric data (CAD)
Simulation data
function architectures
Motivation Function-oriented Data Integration Our Methodology Conclusions
Motivation Function-oriented Data Integration Our Methodology Conclusions 18
Thank you for your attention
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