Gm Global Technolgoy Operations, Inc.

Lapo Frascati

SeyedAlireza Kasaiezadeh Mahabadi

Hualin Tan

Seyedeh Asal Nahidi

Naser Mehrabi

Hassan Askari

Bharath Pattipati

Shamim Mashrouteh

Sresht Gurumoorthi Annadevara

Ruixing Long

Arash Hashemi

A system for adaptive tire force prediction in a motor vehicle includes a control module that executes program code portions that receive real-time static and dynamic data from motor vehicle sensors, that model forces at each tire of the motor vehicle at one or more incremental time steps, that estimate actual forces at each tire of the motor vehicle at each of the one or more incremental time steps, that adaptively predict tire forces at each tire of the motor vehicle at each of the one or more incremental time steps, that generate one or more control commands for actuators of the motor vehicle, that capture discrepancies between real-time force estimations and nominal force calculations at each tire of the motor vehicle, and that apply compensation parameters to reduce tracking errors in the one or more control commands to the one or more actuators of the motor vehicle.

Architecture and methodology of adaptive tire force prediction for integrated vehicle motion control

A method for determining, in real-time, an electronic limited-slip differential (eLSD) clutch torque includes receiving vehicle data in real-time, wherein the vehicle data includes a torque request, determining a preliminary eLSD clutch torque using a neural network and the vehicle data, determining clutch torque bounds of the eLSD using a physics-based model, determining whether the preliminary eLSD clutch torque is outside the clutch torque bounds of the eLSD, adjusting the preliminary eLSD clutch torque using clutch torque bounds to determine a final clutch torque of the eLSD in response to determining that the preliminary eLSD clutch torque is outside the clutch torque bounds of the eLSD, and commanding, in real-time, the eLSD to apply the final clutch torque to a clutch of the eLSD.

Real-time machine learning and physics-based hybrid approach to perform eLSD torque estimation

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Dicomano, Italy

Lapo Frascati