Adaptive Charging Study case
In order to achieve intelligent charging, several factors must be taken into account, such as charging infrastructure, power supply, power demand from electric vehicles, charging protocols, and other power topology considerations. The more factors are taken into account, the higher the efficiency of our load management system. But what better way to understand why intelligent load management is necessary than through a case study?
This week we have come across a case where you can see some of the features of the FLEXeCHARGE Load Manager in action.
A Renault Zoe stopped to charge at a facility with two charging stations. These stations were in a cluster with a maximum current of 16A. There was already another car charging at that time, so the Load Manager split the available current, offering both vehicles to charge with 8A.
The Renault Zoe refused to charge with “only” 8A, as some EVs refuse to charge below 12A even though the standard defines as minimum charge current 6A. So the Load Manager, thanks to the “adaptive charging” feature, proceeded to give full power to the other vehicle, which then charged until full with the maximum charging speed. At that point, the “done-charging” function allowed to release those 16A for the waiting Zoe.
Finally, both cars successfully completed their charging.
In conclusion, without our load management algorithms, the Renault Zoe would have received only 8 amps all the time (with which it refused to charge), and its driver would return to find that his car had not charged. On the other hand, the driver of the other vehicle would have charged at 8A all the time when there would have been another 8A available on the network. This is what smart charging is all about. To learn more about FLEXeCHARGE Load Manager, visit the following link.