Case Study
EV Smart Charging Network: 5,000 Stations, 30% Grid Load Optimization
Automotive · Electric Mobility
The Challenge
An electric mobility provider scaling to 5,000 charging stations across 3 European countries needed intelligent load balancing, dynamic pricing, and predictive maintenance to prevent charger downtime during peak demand periods.
The Solution
NINtec built an IoT-connected smart charging platform with ML-driven demand forecasting, dynamic pricing optimization based on grid load and time-of-use tariffs, and predictive maintenance using sensor data analytics. Real-time grid load balancing reduced peak demand stress by 30%.
Results
5K
Charging Stations
30%
Grid Load Optimized
97%
Charger Uptime
3
Countries Deployed
Technology Stack
IoT SensorsMQTTPythonTensorFlowAzure IoTReact