Site power is under-used
Chargers are set in kW, the grid connection is rated in kVA. To stay safe, the site is capped at the lower of the two to avoid circuit-breaker tripping.
The Edge Box adds measurement and control at the point of supply - feeding AI-DLM with real-time data, and opening the site to behind-the-meter (BTM) assets and grid services.
DC fast-charging sites are frequently limited in power and struggle to optimize uptime, both magnified by AC/DC conversion and dynamics of high-power equipment.
Chargers are set in kW, the grid connection is rated in kVA. To stay safe, the site is capped at the lower of the two to avoid circuit-breaker tripping.
Real-time current and voltage measurement tunes the load management.
Charger's power modules draw more on the AC side than they deliver on the DC side, and the gap widens as they continuously degrade.
The conversion coefficient is measured per charger, continuously.
Grid instability and unmanaged load negatively impact the dynamics of high-power charging.
Continuous power quality monitoring, correlated with charging activity.
Stores, car wash and other variable loads draw from the same grid input as the chargers.
Adaptive load balancing (ALB) equalizes the resource continuously to safely maximize peak power.
Power meters · Inverters · PV charge controllers · environmental, parking and LPR sensors. 1 Hz acquisition, 1 ms log replay, 7-day edge buffering with backfill.
Controlled by evPower's techno-economic model, tailored for each asset specification.
Live and historical view across sites and chargers. Alerts with configurable thresholds. Any charging session reconstructable to the millisecond.
Traffic off site rides a VPN, on a private APN. Encrypted transport, role-based access control, and an audit trail on every change.
Software licences activated on the installed evPower Edge Box.
| BASICSite power analysis and control | + ALBAdaptive balancing with non-controllable load | + BTMOrchestration of BESS, PV and genset | |
|---|---|---|---|
| 1 Hz metering at the point of connection | ● | ● | ● |
| AI-DLM charger orchestration, kVA-aware | ● | ● | ● |
| Per-charger dynamic conversion coefficient | ● | ● | ● |
| Live power health, anomaly alerts, 1 ms log replay | ● | ● | ● |
| Local technician interface | ● | ● | ● |
| Balance power usage with unmanaged co-located loads | ○ | ● | ● |
| Higher charger oversubscription using a shared grid input | ○ | ● | ● |
| BESS · PV · Genset orchestration | ○ | ○ | ● |
| Techno-economic asset model | ○ | ○ | ● |
| Peak shaving and time-of-use arbitrage | ○ | ○ | ● |
| Local (network-free) power management | OPTIONAL | OPTIONAL | OPTIONAL |