ARIEL
AI orchestration that brings federated learning to electric-vehicle fleet management and Vehicle-to-Grid ecosystems.
- Category
- Federated AI for EV fleets & V2G
- Sector
- Energy · Mobility
- Status
- Pilot (O-CEI)
- Readiness
- TRL 6 of 9
ARIEL is an AI-powered orchestration platform that brings Federated Learning to electric vehicle fleet management and Vehicle-to-Grid (V2G) ecosystems. It enables distributed training of AI models for battery health estimation, charging demand forecasting, predictive maintenance and fleet energy optimisation, while keeping operational data locally at charging depots.
The platform incorporates secure aggregation, differential privacy, asynchronous edge orchestration and interoperability with modern EV charging infrastructures, providing a scalable and GDPR-compliant solution for intelligent, energy-aware mobility.
What ARIEL does.
01
Battery health estimation
Learn degradation patterns across fleets without pooling data.
02
Charging demand forecasting
Predict near-term demand per charger or charger group.
03
Predictive maintenance
Spot issues early from distributed operational signals.
04
Fleet energy optimisation
Plan charging around prices, renewables and grid limits.
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