Our virtual sensors can measure the behavior of vehicle components, e.g. brakes, tires, engine, transmission or batteries, in real life - without additional hardware. Virtual sensors consist of software algorithms.
The algorithms use signals which are already available on board the vehicles. They calculate new information which are very difficult or impossible to measure directly. Examples are vehicle mass, forces, torques and temperatures, tire wear and brake wear.
This new information is used for predictive maintenance, for fleet optimization and for product development. Our solution is already deployed on over 10,000 vehicles with 2 up to 18 wheels and even trains.
We work together with major European and Japanese car manufacturers. We are in discussion with telematics companies worldwide about integrating our algorithms into their fleet management software.
Virtual sensors are software-based. Via machine learning algorithms, they calculate a precise estimation of the targetted physical quantity out of other already available signals. In other words, virtual sensors are the result of data extraction and sensor fusion.
Measure the precise vehicle mass during each trip after just 5 min driving.
Measure wheel forces and torques with virtual sensors.