Gm Global Technolgoy Operations, Inc.

Ruixing Long

SeyedAlireza Kasaiezadeh Mahabadi

Seyedeh Asal Nahidi

Shamim Mashrouteh

Hualin Tan

Yiran Hu

James Heath Holbrook

Brent S Gagas

Ehsan Asadi

Yubiao Zhang

Reza Hajiloo

Hassan Askari

Bharath Pattipati

Aubrey Walter Downs, Jr

Lapo Frascati

Wei Wang

James M Faucett

Presented are control systems for operating dual-independent drive unit (DIDU) powertrains, methods for making/operating such systems, and electric-drive vehicles with fault management and mitigation for DIDU axles. A method of operating a motor vehicle with a DIDU axle includes monitoring first and second drive units (DU) that are independently operable to drive respective road wheels via respective axle shafts of the DIDU axle. A vehicle controller receives an indication of a fault condition in the first DU from a fault sensing module and responsively determines a fault type for the fault condition. The controller ascertains the vehicle's current speed and determines a respective torque limit for each of the DIDU drive units based on the fault type and current vehicle speed. Torque output of the first DU is concomitantly constrained to a first torque limit while torque output of the second DU is constrained to a second torque limit.

Intelligent vehicles and control logic for managing faults for dual-independent drive unit axle powertrains

A system for managing chassis and driveline actuators of a motor vehicle includes a control module executing program code portions that: cause sensors to obtain vehicle state information, receive a driver input and generate a desired dynamic output based on the driver input and the vehicle state information, and then estimate actuator actions based on the vehicle state information, generate one or more control action constraints based on the vehicle state information and estimated actuator actions, generate a reference control action based on the vehicle state information, the estimated actions of the one or more actuators and the control action constraints, and integrate the vehicle state information, the estimated actuator actions, desired dynamic output, reference control action and the control action constraints to generate an optimal control action that falls within a range of predefined actuator capacities and ensures driver control of the vehicle.

Architecture and model predictive control-based methodology to manage chassis and driveline actuators

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

Growing community of inventors

Windsor, Canada

Ruixing Long