augmenting data-driven “integrated vehicle health...

1 © 2015 ANSYS, Inc. December 14, 2016 ANSYS Confidential

Augmenting Data-Driven “Integrated Vehicle Health Management System”

using Simulation

Padmesh Mandloi

9th December 2016


Dat

a sc

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om

ple

xity

Data completeness, breadth, quality

Industrial Analytics Evolution Value Map

Basic Reporting

Enabling Technology Stack


Data

Significance of Data in Next-Gen Passenger Mobility

IOTSoftware

AutonomousRide Hailing/Ride Sharing


Increased Use of Car Data Unlocking New Customer Benefits


IoT Architecture & Digital Twin


Simulation (or Physics) Based Digital Twin: Value Proposition

• Answers the fundamental questions of WHAT and WHEN

• Provide insights that

– Improve products/process, create new markets, and drive new profit streams

• Make Software Defined Machines, Asset Performance Management & Digital Manufacturing a reality

– Enabling optimization while in production and service

Analytics today…

Together they...

• Answers the fundamental questions of WHY and HOW

Physics today…• Why it happened..• Damage estimation• Remaining life• Performance insights• Plan shutdown• Replace/Refurbish• Influence next design

• What is happening to my asset?

• When to take action?


ANSYS Simulation Platform for Digital Twin


Asset

Sensors & Actuators

Smart Asset

Sensors & Actuators

Critical Controls &

HMI

Monitoring & Optimization

ANSYS Platform

ANSYS Digital Twin Global Architecture

EKMModels

JobsData

Web

AP

I

Simplorer

ROM

3D Solvers

Data & Analytics Platform

Digital Twin App

Co-simulationROM & FMU

IoT App Store ANSYS ACT App Store

Tools

Platform

AppsAsset IoT S/W or App

Display App

3D Vis App

Brilliant Asset

Sensors & Actuators

Critical Controls &

HMI

Monitoring & Optimization

Edge-Deployed Simulation

SCADE Suite & Display

* Simplorer or ROM simulation may interact with Embedded Controls in the Asset, so that controls is « adaptive »** Same architecture applies to various partners – GE Predix, PTC ThingWorx, IBM Watson, in-house, etc.

IoT Platform


Digital Twin for Vehicle Health Management

Vehicle under operation with smart-connected engine system

Engine sending real-time data to a cloud-server on which data-analytics is running

Health-monitoring based on data-analytics

Digital Twin of the engine systemDeeper insights: RCA/FMEA/FMECA

Verification of corrective action Remaining useful life & operational optimization

Additional information about root-cause, corrective actions, life etc. provided by digital twin

Real-time data pulled in by Digital Twin of the engine

Digital Twin


Automotive DT Scenario: Model-driven Health Monitoring & Mgmt

Data Collection & Integration

Predictive/Prescriptive Asset OptimizationPredictive Physics Based Models

High Fidelity Models

Response Surfaces/ROMs

Embedded Software/System Level Models

Safety/Inspection/Root Cause/FMEA

Physics backed failure mode analysis/What if studies (virtual)

Measurement vs Calculations to isolate root cause

Failure Prognosis/CBM

Predict remaining life

Maintenance Schedules

Trade-off studies

Asset Health Monitoring

Actionable Intelligence/Decision Making

Risk Mitigation

Conduct What-ifs

Inspection

Life cycle management

Performance monitor

Replace/Refurbish

A

B

C

D

E

Embedded Software(HMI-Controller)


Augmenting IVHM using Simulations

Prognostics

Managed Maintenance

Advanced Diagnostics


Root Cause Analysis of an Anomaly in a Coolant System


Prognostics: Predicting Brake Wear due to Faulty Speed Sensor

ABS_AE_Conference.mp4

ABS_AE_Conference.mp4


PRODUCTLIFECYCLE

USER

No

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Engi

ne

ers

Op

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tio

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ee

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The Evolution of Simulation

An

alys

ts

OperateManufactureDesign

Advanced Technologies

Virtual Prototyping

Process Compression

Dynamic CAECollaboration

• Usability (UX Enhancement)

• Simulation on Demand

• MBE

• Performance

• ACT Apps• Embed Simulation

augmenting data-driven “integrated vehicle health...

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