We have been optimizing the flow of electricity for charging electric vehicles from the cloud for years with our system Gridware.
In order to explore the related possibilities of artificial intelligence in an application-oriented way, we joined forces with the University of Kassel and the House of Energy in the SALM project. The results can be found here.
In this article we will show how how events, movement data, measured values and the resulting states become an overall picture that can be grasped intuitively.
Let us look at the status of the charging connector and charging process in detail – from the perspective of a user who wants to charge their vehicle.
Let us talk about meter readings, phases, amperage and events.
All smart charging-stations for electric vehicles connect to a so called “charge-point management system” (CPMS). Our CPMS is called “Gridware”. In it’s most basic function it simply is an IoT-platform, recording everything the hardware (i.e. each charging station) is transmitting.
