Ensuring Connected Car Platform Scalability
A global auto OEM needed to validate remote climate control, live tracking, and geofencing before launch. Here's how they proved the platform would hold up at a million-vehicle scale, without waiting on physical field tests.
See how the platform was proven before a single vehicle shipped
A walkthrough of how the OEM's connected car platform was virtualized, simulated, and validated at scale.
Launching a connected vehicle platform, with no room for inconsistent results
The client, a global auto OEM, was preparing to launch a new connected vehicle platform. Four realities made validation harder than a standard software release.
Global fleet scale
A platform built to eventually support vehicles deployed across markets worldwide, not a single pilot fleet.
Inconsistent feature testing
Remote climate control, live tracking, and geofence features behaved differently from one test cycle to the next.
Unproven scalability
No practical way to confirm how the platform would hold up under real fleet-level load before launch.
Cost pressure at scale
Operating costs needed to stay under control as the platform scaled, not just at launch but well beyond it.
From strenuous field tests to unlimited virtual scenarios
- −Relied on MQTT simulators paired with strenuous vehicle field tests
- −Could not test for scale, network conditions, GPS conditions, or command and control scenarios
- −Test repeatability and consistency fell short of what the platform needed
- ✓Virtualizes the cars and simulates driving under a wide range of conditions
- ✓Runs unlimited scenarios by varying vehicle parameters, user actions, network conditions, and GPS conditions
- ✓Launched the platform on time, with confidence, and at a lower cost of quality
- ✓Managed entirely through Doppelio's UI, with no added engineering overhead
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