How is the Driver Experience (DX) in my charging site?
Charging speed, queues, dwell times, peak power
Digital twin for EV charging sites
No more guessing
with Excel
A machine learning model that simulates any charging site with 98% accuracy.
EVALUATE EVERY kW, kWh, DX POINT AND $
Every kW you deliver earns revenue and carries a cost, and every session shapes a driver's experience. The evPower Digital Twin weighs techno-economics and QoS in one function.
Input
- Utility rates
- EVSE specs
- Charging patterns
- Driver intent model
ƒDigital
Twin
Twin
Output
- Cost optimization
- Optimal ROI on BTM assets
- Measurable QoS
- Flexibility and DR integration
Use cases
What questions can our digital twin answer?
Should I add BESS?
What would be the ROI, and the benefit in driver experience and profitability?
What is the optimal BESS sizing for my site?
kWh, C-rate, round-trip efficiency
Can I optimize my power cost?
Can I lower demand charges without hurting my customers?
What is the $ and DX value of adding more chargers to the station?
Changing charger number and charger rates, including different charger models
Driver experience (DX) vs profit
Current site configurationSimulated option
Seamless integration with any Charger and CPMS
Commercially deployed with:
