State of Connected Vehicles. Steve Schwinke Director Advanced System Development

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Transcription:

State of Connected Vehicles Steve Schwinke Director Advanced System Development

16 years 25+ services 4 brands 50 models

150,000 Calls Per Day 6 Million Customers

>493 Million Service Interactions to date MONTHLY INTERACTIONS >2.6 Million Turn-by-Turn Requests ~20,000 Emergency Responses >2,600 Automatic Crash Cases

820,000 Customers downloads 14 Million Interactions

OnStar Cloud Communication Service Triggers ATOMS Condition Monitoring OnStar Service Processor Data Uploads Service Delivery& On-Demand Data Requests

API Solutions

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Data Services as Apps Traffic Weather Fuel Movies

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Customer is the Centerpiece SIMPLE SAFE CONNECTED ATOMS API Seamless Intuitive Customizable Secure Piece of Mind Keep Me Informed Keep Me Green Keep Me Communicating Keep Me Entertained

High Level Vehicle Integration

OnStar Vehicle Diagnostic Email

Injury Severity Prediction (ISP) Injury Severity Score (ISS) Maximum score 75 Sum of the squares of the single highest Abbreviated Injury Score (AIS) (1-6) in each of the three most severely injured body regions. Injury Severity Prediction of High means the Probability is greater than 20% of an ISS greater than 15 (major trauma)

21

Not Just a Service for OnStar Customers Everyday over 130,000 GM vehicles call OnStar to provide: Odometer and Oil Life Diagnostic codes (current) for Engine/Transmission, Emission, Airbag, Stability Control, Antilock Brake, and OnStar systems Tire Pressure Data All data is fed daily to GM s Quality Database Wealth of data Usage trends and statistics (impact of fuel costs, tire pressure, etc) Diagnostic trends and correlations (region, season, trends, maturing vehicles, etc) Improved dealer service (history of vehicle, etc)

Retrieving Data from the Vehicle Data Element Description Diagnostic Trouble Codes (DTCs) DTC s as used for vehicle service at the dealership Retrieved from electronic controllers on the vehicle data busses Example: P0522 Engine Oil Pressure Sensor Circuit Low Voltage Vehicle Data Parameters Requested from electronic controllers on the vehicle data busses Examples: Battery voltage, Radio Preset Settings, Outside Air Temperature Cached Signals Last data bus broadcast value stored inside the OnStar module Retrievable over-the-air even w/ ignition off Examples: Tire Pressure, Odometer, Fuel Level Native Data Parameters determined directly by the OnStar module Examples: GPS Location, Time of Day

Means to Trigger Contact with OnStar Direction Triggers Comments Odometer Timestamp Ign On/Off events OnStar Vehicle Diagnostic email uses Timestamp Elapsed Time Elapsed Miles Vehicle Initiated Response to diagnostic request Value of cached signals Diagnostic Triggered Alert Uses message from a module to OnStar when a DTC sets Can be configured to trigger by module, DTC, DTC status, etc Call Center Initiated Condition external to vehicle OnStar Remote Link Mobile App uses Call Center Initiated

Data Collections on Smaller, Targeted Populations AutoDTC More frequent data collection from all modules on all GM company vehicles in field service Vehicles report in every 10 40 ignition cycles ~10k Vehicles Data automatically pushed to Quality Database OnStar Lab Highly capable, flexible data collection programs Periodic or Event driven data collection Usually < 5000 Vehicles Data provided directly to requester, usually in csv format

OnStar Lab Collects Data for Pre-Launch Quality Analytics Highly capable data collection on GM new vehicle programs during their Captured Test Fleet phase All captured test fleet vehicles are enrolled ~ 200 vehicles Collect: Software part numbers Calibration ID s Diagnostic data Freeze frame data Special vehicle specific data elements as requested by GM Engineering (e.g. fuel economy) 24/7 near real time email notification to GM Engineering if a diagnostic trouble code sets in any of the vehicles

In Summary.. OnStar s embedded connection to the vehicle is enabling Industry leading customer facing features Powerful data collection capabilities for GM s before production and after the sale use GM can leverage the capability of an embedded connection to Maintain a relationship with our customers after the sale Offer new services to enhance the reason for purchase of a GM vehicle Improve vehicle performance through insights gained from data collection and mining