Abstract:
A prediction module generates predicted engine operating parameters for a set of possible target values based on a plurality of values indicative of states of the engine and a first set of predetermined values set based on characteristics of the engine. A parameter estimation module determines one or more estimated operating parameters of the vehicle based on the plurality of values indicative of states of the engine and a second set of predetermined values. A cost module determines a cost for the set of possible target values based on the predicted engine operating parameters. A selection module, based on the cost, selects the set of possible target values from a group including the set of possible target values and N other sets of possible target values, wherein N is an integer greater than zero, and sets target values based on the selected set of possible target values.
Abstract:
An engine control method includes: generating a first predicted engine output torque and a first predicted mass of air per cylinder (APC) based on a model of the spark ignition engine and a first set of possible target values determined based on an engine torque request; generating a second predicted engine output torque and a second predicted mass of APC based on the model of the spark ignition engine and a second set of possible target values determined based on the engine torque request; determining a first cost for the first set of possible target values; determining a second cost for the second set of possible target values; selecting one of the first and second sets based on the first and second costs; and setting target values based on the possible target values of the selected one of the first and second sets.
Abstract:
An engine control method includes: generating a first predicted engine output torque and a first predicted mass of air per cylinder (APC) based on a model of the spark ignition engine and a first set of possible target values determined based on an engine torque request; generating a second predicted engine output torque and a second predicted mass of APC based on the model of the spark ignition engine and a second set of possible target values determined based on the engine torque request; determining a first cost for the first set of possible target values; determining a second cost for the second set of possible target values; selecting one of the first and second sets based on the first and second costs; and setting target values based on the possible target values of the selected one of the first and second sets.
Abstract:
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.
Abstract:
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.
Abstract:
A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to generate vehicle-level commands based on received vehicle operation commands. The received vehicle operation commands can comprise input commands corresponding to at least one of an autonomous vehicle (AV) mode of operation or a manual mode of operation. The processor is also programmed to generate target actuator commands based on the vehicle-level commands and transmit the target actuator commands to at least one actuator.
Abstract:
A method and apparatus for electric motor control includes a model predictive controller operating in a d-q reference frame to provide d-q reference frame voltage command signals that counteract a magnetic cross coupling within the motor.
Abstract:
A system for estimating a lateral velocity and a longitudinal velocity of a vehicle includes a plurality of sensors for monitoring data indicative of a travel state of the vehicle and one or more controllers in electronic communication with the plurality of sensors. The one or more controllers executes instructions to receive the data indicative of the travel state of the vehicle from the plurality of sensors. The one or more controllers estimate at least one initial estimated state of the vehicle based on the data indicative of the travel state of the vehicle. The one or more controllers fuse together the data indicative of the travel state of the vehicle with the at least one initial estimated state of the vehicle to determine the lateral velocity and a longitudinal velocity of the vehicle based on a single state estimation scheme.
Abstract:
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.
Abstract:
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.