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

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