B60W2555/40

Automatic prioritization of powertrain operations on surfaces having a low coefficient of friction

A hybrid powertrain system includes an engine and an electric machine respectively connected to first and second drive axles, with the electric machine decoupled from the engine. The system includes a battery pack and a controller. The controller has slip integrators with a corresponding integrator value for a given one of the drive axles. The integrator values are indicative of an accumulated amount of drive wheel slip over a calibrated duration or window. The integrator values change responsive to axle torque and traction control status signal. The integrator values are added together to derive an integrator sum. Responsive to the integrator sum exceeding a calibrated integrator threshold, the controller executes a control action, including automatically executing a Weather Mode in which energy use of the battery pack is reserved for traction control/propulsion of the vehicle.

Parameters sets for vehicles based on sensor data

In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.

Training a machine learning based model of a vehicle perception component based on sensor settings

A method for configuring a perception component of a vehicle having one or more sensors includes generating a first set of training data that includes first sensor data corresponding to a first setting of one or more sensor parameters, and an indicator of the first setting. The method also includes generating a second set of training data that includes second sensor data corresponding to a second setting of the sensor parameter(s), and an indicator of the second setting. The method further includes training the perception component, at least by training a machine learning based model using the first and second training data sets. The trained perception component is configured to generate signals descriptive of a current state of the vehicle environment by processing sensor data generated by the sensor(s), and one or more indicators indicating which setting of the sensor parameter(s) corresponds to which portions of the generated sensor data.

AUTOMATIC PRIORITIZATION OF POWERTRAIN OPERATIONS ON SURFACES HAVING A LOW COEFFICIENT OF FRICTION

A hybrid powertrain system includes an engine and an electric machine respectively connected to first and second drive axles, with the electric machine decoupled from the engine. The system includes a battery pack and a controller. The controller has slip integrators with a corresponding integrator value for a given one of the drive axles. The integrator values are indicative of an accumulated amount of drive wheel slip over a calibrated duration or window. The integrator values change responsive to axle torque and traction control status signal. The integrator values are added together to derive an integrator sum. Responsive to the integrator sum exceeding a calibrated integrator threshold, the controller executes a control action, including automatically executing a Weather Mode in which energy use of the battery pack is reserved for traction control/propulsion of the vehicle.

Systems and methods for vehicle coasting recommendation

A method for providing a coast recommendation for an operator of a vehicle, including receiving vehicle position data; determining a projected route; determining a first speed change position and a first speed change target speed; determining a first residual speed and a first residual speed position based at least in part on the first speed change position and the first speed change target speed; determining a first lower speed envelope; determining an overall lower speed envelope based at least in part on the first residual speed; determining an upper speed envelope; determining a target speed profile based at least in part on the first residual speed, the first residual speed position, the first lower speed envelope, and the upper speed envelope; determining a coast start point based at least in part on the target speed profile; and communicating the coast start point to the operator of the vehicle.

Controlling vehicle sensors based on road configuration

A method for controlling a first sensor configured to sense an environment through which a vehicle is moving includes receiving sensor data generated by one or more sensors of the vehicle as the vehicle moves through the environment, identifying, by one or more processors and based on at least a portion of the received sensor data, one or more road portions along which the vehicle is expected to travel, and determining, by one or more processors, a configuration of the identified road portions, at least in part by determining a slope of at least one of the identified road portions. The method also includes determining, by one or more processors analyzing at least the determined configuration, an elevation of a field of regard of the first sensor that satisfies one or more visibility criteria, and causing the first sensor to be adjusted in accordance with the determined elevation.

Adjusting area of focus of vehicle sensors by controlling spatial distributions of scan lines

A method for controlling at least a first sensor of a vehicle, which senses an environment through which the vehicle is moving by producing a plurality of scan lines arranged according to a spatial distribution, includes receiving sensor data generated by one or more sensors. The one or more sensors are configured to sense the environment through which the vehicle is moving. The method also includes identifying, by one or more processors and based on the received sensor data, one or more areas of interest in the environment, and causing, by one or more processors and based on the areas of interest, the spatial distribution of the plurality of scan lines produced by the first sensor to be adjusted.

HEV battery SOC meter and power split usage display

Systems and methods are provided for presenting in a hybrid electric vehicle display, proximate to or in some relation to each other, engine power usage, motor-generator power usage, and battery state of charge information. By combining the display of engine power usage, motor-generator power, and battery state of charge information, power distribution and related information may be presented to the operator of a vehicle to explain the vehicle's performance from a power split output and usage perspective. This can provide reassurance or confirmation that the vehicle is operating as it should, identify a problematic condition, etc.

Voltage controlled aircraft electric propulsion system

A voltage controlled aircraft electric propulsion system includes an electric propulsion system. The voltage controlled aircraft electric propulsion system may include electric propulsors providing thrust for the aircraft. In hybrid systems, a gas turbine engine may also be included. The electric propulsion system may include at least one electric generator power source, at least one propulsor motor load, and at least one stored energy power source, such as a battery. The propulsor motor load may be supplied power from a power supply bus. The voltage of the power supply bus may be adjusted according to an altitude of the aircraft while maintaining a substantially constant current flow to the propulsor motor load. Due to the adjustment to lower voltages at increased altitude, insulations levels may be lower.

SHIFT MANAGEMENT IN MODEL PREDICTIVE BASED PROPULSION SYSTEM CONTROL

A propulsion system, control system, and method use model predictive control systems to generate a plurality of sets of possible command values and determine a cost for each set of possible command values. The set of possible command values that has the lowest cost is determined and defined as a selected set of command values. In some circumstances, the MPC-determined command value may be replaced by another transmission ratio command based on override inputs. Minimum and maximum transmission ratios are determined based on the override inputs, and a constrained (or arbitrated) transmission ratio is determined therefrom. The constrained or arbitrated transmission ratio is used to determine whether to apply an MPC-determined transmission ratio or a transmission ratio based on the arbitrated transmission ratio to determine an ultimate commanded transmission ratio. Pressure(s) are commanded to a transmission pulley assembly, which is configured to implement the ultimate commanded transmission ratio.