The situation
A constrained grid connection, public charging stations, and three competing battery targets: how do you manage a system you can't predict?
Key challenges
The charging stations are publicly available, making peak demand unpredictable and allowing the grid connection to be exceeded at any time.
The battery must simultaneously optimize solar energy, trade on energy prices, and absorb charging peaks. These goals constantly conflict.
Because it's unknown when the next charging session will occur, it's difficult to determine when the battery should be full and when it can trade.
"Zympler now provides intelligent control: maximal utilization of the grid connection at the lowest possible energy costs."
Boxtom and Zympler
Battery performs on three fronts simultaneously
Solar optimization, day-ahead and imbalance market trading, and peak power for charging sessions, all controlled by a single system on a single, limited grid connection.
Fair charging for different users
E-trucks and fast-charging commuters share the same connection without either being short-changed, even during peak times.
Maximize returns where others only safeguard
While competitors solely focus on peak shaving, Zympler also generates trading revenue from the location, despite the uncertainties of an unpredictable public charging profile.
Why are Zympler and Boxtom a match?
Boxtom managed a location too complex for standard solutions: public DC charging stations, a tight grid connection, two user profiles, and three competing battery objectives.
Most EMS systems focus on a single goal and neglect the rest. Zympler optimizes the entire system, adjusts in real-time, and also handles nomination and trading. This makes Zympler not just a technical choice, but a commercial one.
