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A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and Maintenance Moritz Cohrs Volkswagen AG, University of Bremen [email protected] Stefan Klimke Volkswagen AG Gabriel Zachmann University of Bremen ISVC’13, Jul 2013, Rethymnon, Crete, Greece

Moritz CohrsVolkswagen AG, University of Bremen [email protected]

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A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and Maintenance. Moritz CohrsVolkswagen AG, University of Bremen [email protected] Stefan KlimkeVolkswagen AG Gabriel ZachmannUniversity of Bremen - PowerPoint PPT Presentation

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Page 1: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

A Methodology for Interactive Spatial Visualization of Automotive Function Architectures for Development and MaintenanceMoritz Cohrs Volkswagen AG, University of Bremen

[email protected] Klimke Volkswagen AGGabriel Zachmann University of Bremen

ISVC’13, Jul 2013, Rethymnon, Crete, Greece

Page 2: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 3: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 4: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 5: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 6: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 7: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 8: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 9: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 10: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 11: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 12: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 13: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 14: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 15: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 16: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 17: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

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

Page 18: Moritz CohrsVolkswagen AG, University of Bremen moritz.cohrs@volkswagen.de

Motivation Function-oriented Data Integration Our Methodology Conclusions 18

Thank you for your attention