Fronius Charge & Connect
Intelligent networking of battery chargers
With Charge & Connect, Fronius Perfect Charging offers a software solution that networks the charging infrastructure and enables industry-safe data transmission in real time.
For many industrial truck operators, monitoring and controlling the processes involved in charging the traction batteries is a challenge. Especially with a large fleet of forklift trucks, there is often no overview of their availability and current power consumption. With Charge & Connect, Fronius offers an intelligent solution: by networking the Selectiva chargers, all relevant charging data can be recorded, analyzed and visualized in a clear dashboard. This provides users with a wide range of options for increasing the performance of intralogistics and reducing costs.
Among other things, Charge & Connect transparently displays the charging status of the connected batteries, the energy consumption and the status of the chargers. The user receives a central overview across several locations and recognizes where charging processes can be improved. Operating and application errors can be identified and rectified thanks to extensive analysis functions.
The Fronius Perfect Charging software solution also helps operators to reduce downtime for their forklift fleet. For example, if an error or fault occurs in the charging infrastructure, Charge & Connect automatically sends a push notification to the contact stored in the system. With the help of a detailed error description including step-by-step instructions on how to rectify it, problems can be solved before they result in expensive downtime or follow-up costs.
Further advantages result from the statistics that can be called up at any time. The data from the networked charging infrastructure is analyzed in the system and displayed in a meaningful form. The statistics can be used, for example, to determine whether the ideal number of traction batteries is in use or whether savings are possible. The long-term display of the power drawn by the chargers also makes it possible to determine whether and at what times expensive peak loads occur. Based on this data, optimization steps can be initiated and energy costs reduced.










