Demand charge mitigation for DCFC hubs
evPower AI-EMS shapes connector and site power in real time, so your billed peak drops while you serve the same or more sessions.
“Demand charges are the biggest single line on a new DCFC site's power bill. evPower gave us a way to cap site peaks without a hardware spend, and to do it without compromising the driver experience.”
The problem
Utilities bill demand on a site's highest 15-minute average, and every other hour of the month pays for it. Arrivals are random, and every vehicle pulls a different charging curve.
The right cap is different at every site and moves from month to month. Where ratchet clauses apply, one peak carries into the bills that follow.
Lower bill. Longer queues, high abandon rate, lost energy sales.
Drivers keep moving. Higher demand charges.
Gross monthly profit as a function of driver experience score at different demand targets. A low target costs sessions; a high target costs demand charges. The sweet spot is different for every site.
How it works
AI-EMS calculates the optimal demand target per charging site, weighing driver experience against site profitability.
Driver experience score is a compound metric calculated from session data, strongly correlated with the quality of the charging session.
AI-EMS continuously calculates and enforces the optimal demand target for each site independently, following the 15-minute demand window as it builds and allocating power across connectors to hold the peak at target.
Tariffs, limits and constraints are configuration settings, updated whenever your utility changes them.
Power above the target is delivered whenever the 15-minute average allows.
Driver experience stays on par, and energy sales potential stays at its maximum.
Works with
Commercially deployed with leading chargers:
Installs remotely in minutes, on the chargers and CMS you already run.
Questions
A 98% accurate digital twin runs a minute-by-minute simulation of your energy sales and costs, driver experience and demand charges.
sales@evpower.ai