digital.auto
digital.auto
use cases
Real-life examples and projects
digital.auto in practice
digital.auto is focusing on use cases enabled by software-defined vehicle (SDV) and vehicle APIs (e.g. COVESA VSS). These use cases benefit from the de-coupling of event chains and moving the non-safety-critical parts into a containerized SDV runtime environment, interacting with the safety-critical parts through well defined vehicle APIs.
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Typical characteristics include:
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Mixture of safety-critical and non-safety-critical steps in the application
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Need to advance the non-safety-critical parts in an agile, incremental way
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Support of post-SOP (start-of-production) updates at least for the SDV parts
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Integration with vehicle functions via vehicle APIs and hardware abstraction
The first step in our "digital first" approach is to identify and prioritize the most relevant use cases. Afterwards we continue with a close alignment between off-board and on-board applications to generate true customer value.
Use case examples
Passenger welcome
Benefits:
Run a sequence of events in order to welcome the driver, as he / she approaches the vehicle
Implementation:
Opening the door (assuming door motor and sensors for safety checks), playing a light sequence, and adjusting the seat position and HVAC settings according to the driver`s preferences
Partners:
Bosch, Dassault Systemes, Ferdinand-Steinbeis-Institute
Anti-Kinetosis
Benefits:
Avoid motion sickness when traveling longer distances in a car.
Implementation:
Usage of different vehicle sensor values (e.g. pitch, yaw, roll) to detect the likelihood of motion sickness-related issues. This information, is used to automatically address various factors: the driving style, seat position, light environment, in-vehicle climate, etc.
Utilization of VSS signals as input to calculate a kinetosis score.
Usage of near real-world vehicle simulation to provide test data via the VSS APIs.
Partners:
Bosch, ANSYS, IPG Carmaker, Ferdinand-Steinbeis-Institute
EV Power Optimization
Benefits:
Support EV owners to reach their next destination more safely in case of range issues
Implementation:
Monitoring the battery state of charge, to automatically detect different levels of criticality. Depending on the criticality level, different non-critical functions are powered down, in order to preserve energy – including HVAC, infotainment, and in-cabin light.
Partners:
Hyundai Mobis, Bosch, ANSYS, Ferdinand-Steinbeis-Institute
