Data Driven Mobility. May 18th 2018. Data Driven Innovation 2018. Engineering Department, University of Roma Tre

1. Data Driven Innovation - Università degli Studi “Roma Tre”
May 18th, 2018
as enabler of predictive models
Digital Twin
Marco Poggi
R&D Digital Solutions, Bridgestone EMEA

2. 2
• Mega-Trends and Mobility Eco-System
• Bridgestone - Overview
• The evolution of the tire
• The Digital Twin
• Predictive models:
• Wear
• Fuel Economy
• Safety
Agenda

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Mega-Trends transforming the Mobility Eco-System
Mobility Eco-System under transformation:
ACES: Autonomous, Connected, Electric, Shared
Mega-Trends
Exhausting
natural resources
Urbanization
New consumer
behaviors
Aging of
population
New climate
change

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http://www.mckinsey.com/industries/automotive-and-assembly/our-insights/how-the-
convergence-of-automotive-and-tech-will-create-a-new-ecosystem
• The automotive industry is converging with the digital technology transformation
• Data driven business models and services are emerging
• New “hardware“ and sensors will provide data to enable these services
Future Mobility Ecosystem (according to McKinsey)

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Bridgestone - Overview
EMEA R&D Rome (1970s)
• 580+ Employee
• 50+% Univ. Degree
• 5+% PhD
• 16 Nations
• Data Scientists
• Computer Engineers
• Cloud Engineers
• App Developers
• Mechatronics
• Electronics
• Automotive Engineers
Bridgestone Corporation 6 business units
1. Japan 2. Americas 3. EMEA 4.Asia Pacific
5. Diversified Products 6.Speciality Tires
150+ countries 143.000+ employees
Digital Garage (2017)
University &
Research
1
Start-ups
Spin off
2
4
Tech prototypes
Young talents
Laboratory experimentations
Tech
providers
5
Disruptive technologies
and products
Accelerator
3
Startups
High tech product/components
TIRES MOBILITY SOLUTIONS
NEWECOSYSTEM

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The Evolution of Tires
Bias
Radial
Run flat
Lightweight Sensing
Air Free
PAST
• Three major evolutionary phases can be recognized
• The “intelligent tire” phase will be driven by sensing, data and new design concepts
• The digital twin concept will play an important role to make the tire “intelligent”
Rigid
Wheel
Pneumatic Tire
Intelligent Tire
Intelligent
Digital Twin

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The Digital Twin Concept
Tire Digital Twin
Wear
Fuel Economy
Safety
7
https://www.geoilandgas.com/software-solutions/industrial-internet/digital-twin-machine-learning-differentiator-oil-and-gas-iiot
• Digital Twins are digital representations of physical parts, processes or systems
• Digital and physical data is paired, combined with advanced analytics and learning systems
• Improve accuracy in decision making and deliver savings and optimization
Digital Twin Example: GE Gas Turbine

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Digital Twin - Wear Technology
Predicted Wear Profile
• Digital Twins for wear are augmented by real data from vehicle and route information
• Connected vehicle and tire information are enablers to deliver on digital twin for Wear
Actual Tire WearReal or Digital Twins
Vehicle
Route
WearPotential

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Digital Twin – Rolling Loss Technology
Predicted Loss
• Digital Twins for rolling loss increase fuel efficiency over the tire life cycle
• Route and tire configuration can be optimized
Actual Tire LossReal or Digital Twins
Vehicle
Route
RollingLossPotential

10. 10
Digital Twin – Safety performances
Actual Tire Performances
SafetyPotential
• Digital Twins for traction optimize system performance across different driving conditions
• The intelligent tire communicates state information to update the digital twin

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 Mobility is being fundamentally transformed by multiple converging trends
 Digital technology is one of the enablers of this transformation
 Tires are evolving to become “intelligent”
 Intelligence will be also in the digital tire twin
 New business models are emerging that will take advantage of these new digital
capabilities
Summary

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The Hackathon with Roma TRE and other Universities
MOBILITY PEOPLE ENVIROMENT
The 1st hackathon milestone
on Safer Mobility was held
during the opening event.

13. 13
Hackathon with Rome’s University: Winners!
Team C.A.T.
Mobile App to:
- Driver safety notifications
- Help car maintenance (OBD)
Team Looper
Mobile App to:
- Inform on dangerous roads
- User statistics for intelligent notifications
And coming TEST of Time - 9000€ - May 2018
1st 1st
Best APP - 6000€ - Oct. 2017

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Copyright © Bridgestone Corporation