Ensuring connected car platform scalability
A Case Study
Context
- The client is an auto OEM launching connected vehicles
- Faced challenges to ensure the connected car platform scalability
- Functional testing of the application features like remote climate control, live tracking, and geofence were not consistent
- The client had to control the platform operating costs at scale
Before Doppelio
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MQTT simulators were used along with strenuous vehicle field tests
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Unable to test for scale, network and GPS conditions, command and control scenarios
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Below par test repeatability and consistency
With Doppelio
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Smoothly created virtual models of the cars and simulated driving under various conditions
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Tested for unlimited scenarios by varying vehicle parameters, user actions (remote climate control) along with network and GPS conditions
- The customer was able to launch the Connected Car with a high degree of confidence, on time, and a reduced cost of quality
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All this was a breeze using Doppelio’s UI
Doppelio Impact
Easily tested for loads up to 1 million vehicles
Improvement of 10x in speed and lab test coverage from 50% to 90%
Saved millions of dollars in OpEx by simulating different cost scenarios
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