Smarter EV Charging Starts at the Grid Edge
Real-time energy intelligence, power quality monitoring, and intelligent curtailment — built for the demands of modern EV charging infrastructure.
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.
- Model demand ratchets, TOU, and coincident peak charges
- Real-time cost-per-session visibility
- Multi-tariff scenario comparison for smarter scheduling
- Avoid costly demand spikes without reducing charging availability
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.
EV Fleet Charging in the Real World
Two large-scale deployments show how Energy Analyst handles the complexity of high-power EV charging — with intelligent curtailment that protects the grid without disrupting operations.
2 MW Fleet Charging Depot
A high-power fleet depot with 18 chargers rated at 180 kW each — integrated directly with an operational microgrid combining a PV system and natural gas generator. Energy Analyst coordinated charging curtailment with microgrid state in real time, using the T-Star 350 as the direct hardware interface.
- Direct T-Star 350 interface with PV + gas generator microgrid
- Curtailment logic accounts for vehicle return and charge schedules
- Load profiles are predictable — curtailment minimizes operational impact
- Real-time microgrid state feeds charging decisions automatically
1.5 MW School District Depot
A 40-charger school district depot where Energy Analyst integrates via cloud API directly with the EV charge system manufacturer. Bus fleets operate on regular schedules — charge cycles are highly predictable — making smart curtailment straightforward to apply without impacting route readiness.
- Cloud API integration with EV charger manufacturer platform
- 40 chargers coordinated across the district depot
- Schedule-aware curtailment preserves fleet availability
- Demand cost reduction without compromising bus readiness
How Intelligent Curtailment Works
In both applications, vehicle load profiles are predictable — fleets operate on regular schedules and return to charge at consistent times. Energy Analyst takes these known patterns into account when calculating curtailment, ensuring charging demand is shaped to protect grid and cost targets while keeping vehicles ready when they're needed.
Stronger Grids. Smarter Charging.
As EV adoption accelerates, the pressure on electrical infrastructure grows. Facilities that deploy high-power charging without real-time intelligence risk demand spikes, power quality degradation, and runaway energy costs.
Energy Analyst gives you the visibility and control to stay ahead — monitoring every circuit, modeling every tariff, and curtailing intelligently so your fleet stays charged and your costs stay predictable.
- Microgrid-aware charging coordination
- Cloud API integration with major charger manufacturers
- Schedule-based curtailment that respects fleet operations
- Real-time power quality alerts and anomaly detection
- Demand cost reduction without sacrificing throughput
