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BMW Eco Navigation.Smart navigation for improved fuel efficiency.

Andreas WincklerBMW Group Technology Office

Palo Alto, CA

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Brake Energy Regeneration.

Auto Start Stop Function.

Optimum shiftindicator.Needs-based steering of

auxiliary components.

Highly efficient petrol and diesel engines

Smooth running tyres.

Active aerodynamics.

Electromechanic power assisted steering.

BMW Eco Navigation.Efficient Dynamics: Where are we coming from?

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Potentialfuel consumption

Optimisingcomponents

Optimising thesystem / vehicle as awhole

Environmental recognitionand prediction with sensorand navigation data.

+ Interaction vehicles /infrastructure

Efficient Dynamics today

ECO Driver Assistance

Efficient Dynamics in the future

BMW Eco Navigation.Efficient Dynamics: Where are we heading?

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Optimising the vehicles operating strategy

Supporting proactive driving

Most fuel-efficient route

Nav data ACC radar

DSC

Camera PDC

Light /rain sensor

DME Car 2 X

BMW Eco Navigation.Eco driver assistance and intelligent, integrated energy management.

Self-learningknowledge base(on-/offboard)

Merging of existingsensor data

Prediction ofenergy-relateddriving situations

Calculate optimalprospective drivingstatus

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Prediction of energy related driving situations based on self-learning route prediction.

BMW Eco Navigation.Intelligent Learning Navigation predict the route ahead.

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Optimising the vehicles operating strategy

Supporting proactive driving

Most fuel-efficient route

BMW Eco Navigation.Using predictive navigation for proactive energy management.

Merging of existingsensor data

Prediction ofenergy-relateddriving situations

Calculate optimalprospective drivingstatus

Nav data ACC radar

DSC

Camera PDC

Light /rain sensor

DME Car 2 X

Self-learningknowledge base(on-/offboard)

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Dynamic situation is identified, batteryis charged, boost is prepared

Home zone is identified, battery is charged,eDrive is prepared

Gradient is identified, battery is utilised,charging is prepared

Stretch of road ahead is identified, enginetemperature is adjusted accordingly

Maximum dynamics during acceleration

Safe electric driving all the way to the destination

Exploiting the roads full efficiency potential

Engine temperature is adjusted according to the situation

BMW Eco Navigation.Proactive Energy Management.

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Optimising the vehicles operating strategy

Supporting proactive driving

Most fuel-efficient route

BMW Eco Navigation.Using predictive navigation to support proactive driving.

Merging of existingsensor data

Prediction ofenergy-relateddriving situations

Calculate optimalprospective drivingstatus

Nav data ACC radar

DSC

Camera PDC

Light /rain sensor

DME Car 2 X

Self-learningknowledge base(on-/offboard)

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Using navigation map data, the vehicle

can calculate how far ahead speed-relevantroad situations are

50 km/h in 600m More efficientbraking

A display alerts the driverto the upcoming deceleration stretch

BMW Eco Navigation.The driver has a significant impact on fuel consumption.

ECO driver training ECO driver analysis ECO driver assistance

Example: recognize speed-related situation before the driver does.

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Optimising the vehicles operating strategy

Supporting proactive driving

Most fuel-efficient route

BMW Eco Navigation.Finding the most fuel-efficient route.

Merging of existingsensor data

Prediction ofenergy-relateddriving situations

Calculate optimalprospective drivingstatus

Nav data ACC radar

DSC

Camera PDC

Light /rain sensor

DME Car 2 X

Self-learningknowledge base(on-/offboard)

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Can I reach my destination without fuel stop? What alternatives do I have?

Assist the driver to decide on time constraints, route alternatives and gas stations.

BMW Eco Navigation.Green Driving Assistant.

Which route to save fuel?

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BMW Eco Navigation.Conclusion.

Smart, learning and connected navigation will be an integral

component of a future car to improve fuel efficiency.

Thank you!