Test-in-Production Framework on a Microcontroller Environment

Nasser Shuaibi; Anthony Phillips; Jason Grix; Jose Paredes

doi:10.4271/2022-01-0112

In modern automobiles, many new complex features are enabled by software and sensors. When combined with the variability of real-world environments and scenarios, validation of this ever-increasing amount of software becomes complex, costly, and takes a lot of time. This challenges automakers ability to quickly and reliably develop and deploy new features and experiences that their customers want in the marketplace.

While traditional validation methods and modern virtual validation environments can cover most new feature testing, it is challenging to cover certain real-world scenarios. These scenarios include variation in weather conditions, roadway environments, driver usage, and complex vehicle interactions. The current approach to covering these scenarios often relies on data collected from long vehicle test trips that try to capture as many of these unique situations as possible. These test trips contribute significantly to the validation cost and time of new features.

In this paper, a new validation method is discussed which utilizes high volumes of production vehicles to validate features in real-world scenarios. We will discuss the development of a framework that enables in-production testing in a microcontroller environment. The framework provides controlled execution of applications under test, time-series data-collection, cloud data uploading and isolated environments to run the validation.

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Test-in-Production Framework on a Microcontroller Environment 2022-01-0112

SAE MOBILUS