Enable new measurement capabilities for series and development vehicles at low costs

The next phase of automotive evolution is the Software-Defined Vehicle (SDV), receiving new capabilities from Virtual Sensors:

The Software-Defined Vehicle offers:

  • Continuous improvement and enhancement with new functionalities
  • Updates Over-the-air (OTA)
  • New Functionality without adding any new hardware

The critical raw material for such evolutive software product features is available from in-vehicle data.

With COMPREDICT’s Virtual Sensors, you can extract hidden information from existing vehicle data.

Enable additional measurement capabilities for all kinds of vehicles

How does an additional measurement by a Virtual Sensor work?

A Virtual Sensor can mirror any targeted physical quantity or information if conclusive input data and reference data are available for calibration. Our Virtual Sensors enable use cases like:

  • Wheel forces and torques
  • Tire and brake wear
  • Vehicle mass
  • Suspension displacement
  • Steering forces
  • And many more

Our Virtual Sensors only use vehicle signals as inputs which are standardly available in any series-production vehicles, like engine speed and torque, wheel speeds, steering angle, etc.

We generate Virtual Sensor through the following steps:

  1. Data selection by our vehicle experts or through automated Virtual Sensor calibration pipelines
  2. Data clean-up and preparation for Virtual Sensor calibration
  3. Actual Virtual Sensor calibration to match the target values given by reference data
  4. Calibration validation on a separate set of validation data
  5. Deployment in a cloud architecture or embedded in vehicles

The reference data can be derived from lab tests or vehicle test campaigns with real hardware sensor data, like a wheel force transducer, or manual measurements, like brake pad thickness.

Watch the demo video of our Virtual Sensor for vehicle mass 

To guarantee the quality of our Virtual Sensor results, we collaborate with a leading reinsurance company, MunichRE.

Virtual Sensors deployment

  • For cloud implementation, we work with major cloud providers like AWS and Azure.
  • At the edge, Virtual Sensors can be deployed on electronics hardware like an electronic control unit (ECU) directly in the vehicle
  • Edge deployment is significantly accelerated and facilitated by BlackBerry IVY as a middleware layer, as it reduces the complexity of embedded software development and configuration management

Your benefits of using Virtual Sensors

  • New measurement capabilities with existing hardware configuration
  • Lower total costs of ownership (TCO) compared to adding hardware sensors into each vehicle
  • Enabler for new digital services in series-production vehicles
  • Shorter R&D lead times, through extended test campaigns at larger scale by turning series-production vehicles into R&D vehicles