FLEXeCHARGE

Charge Scheduler®

Optimize energy costs and CO2 emissions.

FLEXeCHARGE
Charge Scheduler®

Our white-label charge scheduler plans charging sessions in advance or at EV arrival times to reduce peak loads, energy costs and CO2 emissions.  The charge scheduler compiles a charge schedule with respect to a chosen target function and the given input parameters integrated through our API. The event-based architecture of the charge scheduler minimizes communication overhead, while it ensures that the charging infrastructure is always real-time responsive in case of deviations from a planned charging schedule.

The solution that boosts your business model.

Reduce costs and CO2 emissions to the maximum with FLEXeCHARGE Charge Scheduler®, the data-driven solution. 

Load Scheduler
Controller

Connect your EV charging backend to the Charge Scheduler through our WebAPI and receive on-demand charging schedules

Load Scheduler
Gateway

Send and receive user information through a local gateway, which runs the charge scheduler.

Load Scheduler
Cloud

Schedule the charging of a EV straight on the charge controller.

FLEXeCHARGE brain load management

Supported charge scheduling types:

Load flattening

Reduction of peak loads to minimize infrastructure costs and performance prices for larger charging parks.

Tariff integration

Moving the charging sessions to off-peak times to utilize lower energy prices.

Photovoltaic production forecast integration

Intelligent connection of Solar system with the charging infrastructure to minimize costs and CO2 emissions.
Modular Architecture - grey

Get started for free in three easy steps:

Step 1

Schedule a meeting with our team to define the architecture and the charge schedulling you would like to run.

Step 2

Send us your hardware or an API to your EV charging backend, and we will connect the Charge Scheduler to your solution.

Step 3

Test the Charge Scheduler within your EV charging solution.

rocket dark blue

Ready to launch!

FLEXeCHARGE Charge Scheduler Solution

Partner with us to move barriers

We are currently exploring the combination of Charge Scheduler with an AI based prediction tool to forecast parking duration and energy demand and are looking for partners to test the solution.

Interested? Schedule a meeting today!

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