End User
UTBM
Description
This AI-powered energy management service optimizes power flow in Fuel Cell Hybrid Electric Vehicles (FCHEVs) by intelligently balancing energy use between the fuel cell and battery. Using real-time and historical driving data, it enhances vehicle efficiency, extends component lifespan, reduces hydrogen consumption, and ensures reliable performance across diverse driving conditions.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Optimization & Decision Support
Automation & Control Systems
Business Need
Efficient energy management is essential for fuel cell hybrid vehicles to reduce hydrogen consumption, extend component life, and lower operational costs. This AI-driven service is important because it enables dymanic adaptive control that improves vehicle range, reliability, and sustainability, key priorities for clean, cost-effective transportation.
Key Performance Indicators
Improvement in the vehicle’s range due to optimized energy management.
Powertrain efficiency by optimization of fuel cell and battery power distribution.
Data Provided
Operational Data (Real-Time & Historical), from onboard sensors, embedded systems (unknown datasize) (existing documentation for structure) (data resolution per second)
TEF
TEF H2