A regenerative braking control method of a hybrid vehicle may include: a vehicle condition determination operation of determining, by a controller, whether a vehicle speed and a driving mode satisfy conditions suitable for regenerative braking control of the hybrid vehicle; an accumulated count increasing operation of increasing, by the controller, an accumulated count of a reduction direction signal when the reduction direction signal is input from a two-way input device while the conditions are satisfied; an accumulated count reducing operation of reducing, by the controller, the accumulated count of the reduction direction signal depending on a count of the increase direction signal when the increase direction signal is input from the two-way input device while the conditions are satisfied; and a phased braking operation of increasing, by the controller, regenerative braking torque of a motor in phases depending on the accumulated count of the reduction direction signal.

A method of controlling gear shifting of a hybrid vehicle including an engine, a motor, and a stepped transmission includes predicting a requested torque reduction amount requested by the engine and the motor when there is a request to shift gears of the transmission, determining whether to realize the predicted requested torque reduction amount by reducing motor torque or applying counter torque, as a result of the determining, when it is not possible to realize the predicted requested torque reduction amount, determining an operating point correction amount for increasing an available torque reduction amount of the motor, and determining whether to perform first gear-shifting control in consideration of efficiency of the first gear-shifting control of increasing the motor torque and reducing engine torque by the operating point correction amount before an actual requested torque reduction amount is input.

A computer implemented method for scenario generation for autonomous vehicle navigation that can include defining a cellular automaton layer that defines a road network level behavior with at least one rule directed to pathways by vehicles on a passageway for travel. The method may further include defining an active matter layer that defines a vehicle level behavior with at least one rule directed to movement of the vehicles on an ideal route for the pathways; and defining a driver agent layer that defines driving nature with at least one rule that impacts changes in the vehicle level behavior dependent upon a characterization of driver behavior. The method may further include combining outputs from the different layer to provide scenario generations for autonomous vehicle navigation. The combining of the outputs can utilize a pseudo random value to determine at an order in the execution and duration of execution for the layers.

A computer includes a processor and a memory storing instructions executable by the processor to predict a path of a target vehicle through an intersection, determine a sequence for the target vehicle and a host vehicle to cross through the intersection based the predicted path of the target vehicle and a planned path of the host vehicle, the sequence determined to improve a vehicle parameter among a fleet of vehicles including the host vehicle and the target vehicle, transmit the determined sequence to the target vehicle, and actuate one or more components to move the host vehicle along the planned path according to the determined sequence.

Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.

Methods and systems for autonomously steering a moving vehicle are disclosed. A processor determines a longitudinal velocity, a longitudinal acceleration, a lateral acceleration, and a yaw rate of the vehicle. The processor estimates, based on the longitudinal velocity, lateral acceleration, and yaw rate of the vehicle, a change in lateral velocity over time. The processor estimates, based on the change in the lateral velocity over time, the yaw rate, a distance between the front axle of the vehicle and a center of gravity of the vehicle, and a distance between the rear axle of the vehicle and the center of gravity of the vehicle, a lateral front velocity of the vehicle and a lateral rear velocity of the vehicle. Using calculations, a state estimation model for the vehicle is updated by the processor using a lateral acceleration bias. The updated state estimation model is used to autonomously steer the vehicle.

A surveying device is operated to measure a surface profile of a terrain of a worksite and generate surface profile data. Machine operational data is stored and associated with at least one gradient characteristic. A processing unit is operated to process the surface profile data to identify an area of the terrain and a gradient characteristic of the area and retrieve machine operational data associated with the gradient characteristic from the database and associate the machine operational data with the area. The work machine is operated in the area based upon the machine operational data.

Hybrid or fully electric vehicle comprising: a conventional braking system based on friction bodies to brake the motor vehicle by interaction of the friction bodies in response to the operation of a brake pedal or any other equivalent control member, a reversible electric machine operatively coupled to the wheels of the vehicle and electronically controllable to operate selectively as an electric engine to generate a mechanical power to propel to the vehicle and as an electric generator to convert the kinetic energy of the motor vehicle into electrical energy, and an automotive electronic control system comprising a sensory system to measure automotive quantities, and an electronic control unit to control operation of the conventional braking system and of the electric machine in response to the operation of the brake pedal or any other operationally equivalent control member. The electronic control unit is further configured to control operation of: the electric machine to selectively perform one or more functions including regenerative braking, in which the electric machine is operated as an electric generator to recover the kinetic energy of the motor vehicle during braking and convert it into electrical energy, and the conventional braking system to clean the friction bodies of the conventional braking system based on the number of brakings performed by the conventional braking system and counted starting from the start-up of the motor vehicle.

A method to control a road vehicle provided with a dual-clutch, servo-assisted transmission and standing still with the internal combustion engine turned on; the control method comprises, when the road vehicle is standing still with the internal combustion engine turned on, the steps of: engaging a forward gear associated with a first clutch; engaging a reverse gear associated with a second clutch, which is different from and independent of the first clutch; closing the first clutch so as to cause the first clutch to transmit a first torque; and closing the second clutch so as to cause the second clutch to transmit a second torque, which is equal to the first torque multiplied by the quotient between a gear ratio of the reverse gear and a gear ratio of the forward gear.

A mobile work machine includes a propulsion subsystem that propel the mobile work machine about a worksite. The mobile work machine includes a steering subsystem that steers the mobile work machine about the worksite. The mobile work machine includes a stability determination system that determines a stability factor based on a characteristic of the steering subsystem. The mobile work machine also includes a control system that controls the mobile work machine based on the stability factor.