Smart Charging and Load Management
We engineer smart charging systems that distribute power intelligently across your chargers. Whether you are working within grid constraints, integrating solar, or optimizing energy costs, we build the algorithms and OCPP profiles that make it work in the real world.
What We Deliver
Core capabilities
Dynamic Load Balancing
Real-time power distribution across all chargers based on available grid capacity. Our algorithms continuously adjust charging rates as vehicles arrive and depart, ensuring you maximize throughput within your electrical limits.
Grid Capacity Management
Transformer-level monitoring with demand response capabilities and peak shaving. We integrate with building energy management systems to ensure EV charging coexists with facility loads gracefully.
Priority-Based Charging
Vehicle priority rules based on user tiers, departure time targets, state of charge, and fleet scheduling requirements. The system optimizes who gets power first while ensuring every vehicle meets its departure deadline.
Solar and Battery Integration
PV self-consumption optimization that routes excess solar production directly to EV charging. Battery buffer management for sites with energy storage, smoothing demand peaks and maximizing renewable utilization.
OCPP Smart Charging Profiles
Full implementation of TxProfile, TxDefaultProfile, and ChargePointMaxProfile. We handle profile stacking, period transitions, and the coordination between CSMS-set and locally-managed charging schedules.
Energy Cost Optimization
Time-of-use tariff awareness that shifts charging to off-peak windows automatically. Spot market integration for dynamic pricing, and cost modeling tools that show operators their savings potential.
Engineering Flow
How we execute
Tech Stack
Tools & technologies
OCPP Smart Charging
Profile-based power management via OCPP SetChargingProfile messages.
Python
Optimization algorithms, data processing, and load balancing engine.
Optimization Algorithms
Linear programming, constraint satisfaction, and real-time scheduling.
Energy Meters (Modbus)
Real-time power measurement at transformer and charger level.
Solar Inverter APIs
Integration with SMA, Fronius, SolarEdge, and Huawei inverters.
Grid Monitoring
CT clamp integration, power quality monitoring, and grid feed-in tracking.
Time-Series Databases
InfluxDB and TimescaleDB for energy data storage and trend analysis.
MQTT / Event Streaming
Real-time data pipeline for meter readings and charger telemetry.
Simulation Framework
Custom simulation tools for validating algorithms before field deployment.