Power Quality & Reliability for EVCS
The reliability of EV charging infrastructure depends directly on the health of the electrical system feeding it. Voltage sags, harmonic distortion, and phase imbalances are common in facilities that deploy EVCS alongside heavy industrial loads — and they can cause charging failures, communication dropouts, and accelerated hardware wear.
Energy Analyst, combined with the T-Star 350 metering gateway, provides real-time visibility into the power quality conditions at every charging circuit. Issues are flagged the moment they occur — before drivers notice, before hardware fails, and before warranty claims pile up.
- EV-specific analytics for station operators
- Real-time fault detection (voltage sags, harmonics, phase imbalances)
- Power quality monitoring (THD, power factor, voltage waveforms)
- Automated energy KPI visualization
- Edge intelligence via T-Star 350
- Tariff-based cost modeling
- Load optimization to avoid demand peaks
- V2X use case support
Tariff & Cost Management
EV charging deployments introduce significant new load profiles — often with spiky, high-demand characteristics that interact poorly with traditional utility rate structures. Energy Analyst's built-in tariff engine models complex rate designs including demand ratchets, TOU pricing, and coincident peak charges.
Real-time and forecasted cost insights help operators understand the true cost of every charging session. Load-shifting strategies can be modeled against multiple tariff scenarios, giving facility managers and fleet operators the data they need to optimize charging schedules without sacrificing throughput.
Edge Analytics for EV Infrastructure
The T-Star 350 gateway brings analytics to the edge of the electrical system — processing data locally before sending it to the cloud, enabling faster fault detection, lower latency alerts, and resilient operation even during network interruptions.
Secure API Access
Integration-ready architecture with authenticated REST APIs for CSMS and fleet management platforms.
V2X Support
Data infrastructure for vehicle-to-grid, vehicle-to-building, and vehicle-to-load use cases.
Predictive Maintenance
Detect degrading charger performance and electrical anomalies before they cause downtime.
Scalable Load Optimization
Coordinate charging across dozens or hundreds of stations to stay below demand thresholds.