Reinforcement Learning for Hybrid Off-Highway Powertrain Control
TS-075755 —
Electrification of high-power off-highway equipment remains challenging due to highly variable operating conditions, unpredictable duty cycles, demanding torque requirements, and limited charging infrastructure. Conventional energy management approaches often struggle to balance fuel efficiency, b…
- College: College of Engineering (COE)
- Inventors: Ahmed, Qadeer; Abououf, Hend; Bhatti, Sidra Ghayour; Hanif, Athar
- Licensing Officer: Ashouripashaki, Mandana
AI-Driven Duty Cycle Prediction and Energy Management for Agricultural Tractors
TS-075750 —
Agricultural tractors operate under highly variable conditions that make power demand, fuel consumption, and equipment performance difficult to predict. Differences in soil characteristics, terrain, field layouts, implements, and operator practices can cause substantial variability in energy use, …
- College: College of Engineering (COE)
- Inventors: Ahmed, Qadeer; Abououf, Hend; Hanif, Athar; Shearer, Scott
- Licensing Officer: Ashouripashaki, Mandana
