A method of determining a coasting area is disclosed, together with methods of providing coasting information to a vehicle driver; coasting being when the vehicle is allowed to decelerate or to roll without being under power. In embodiments, the coasting area is determined by: determining an end point location of a coasting area based upon a location in map data of an expected decrease in speed of a vehicle traversing a road network represented by the map data; determining a start point location of the coasting area based on at least one attribute associated with the map data proximal to the end point location; and generating coasting information indicative of the coasting area having the start point and end point locations. In other embodiments, coasting information is provided to a driver by: determining a location of a coasting area based on a location of a navigation device; and determining whether to output information indicative of the coasting area based on a current speed of travel of the navigation device and, if so, outputting an indication of the coasting area.

A method for analyzing the distribution of energy expenditures of a motor vehicle from data from a communications network and from parameters of the vehicle includes steps in which the energy expenditures of the vehicle over a journey are calculated, the said energy expenditures are analyzed by comparing them with at least one model of the vehicle simulating the same journey, an energy balance report is formulated on the basis of the analysis of the energy expenditures and of the fuel consumption and the said energy balance report is communicated to an external server.

A system for controlling a hybrid propulsion system includes a computer programmed to obtain altitude and terrain information associated with a predetermined route for the hybrid propulsion system comprising a first energy source and a second energy source. The computer is also programmed to obtain current and forecast ambient weather information associated with the predetermined route of the hybrid propulsion system, determine a power requirement and a torque requirement of the hybrid propulsion system associated with the altitude and the terrain along the predetermined route of the hybrid propulsion system, generate a trip plan to optimize at least one of a plurality of performance parameters of the hybrid propulsion system as the hybrid propulsion system travels along the predetermined route, and preferentially select the first energy source and/or the second energy source based on the trip plan.

A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.

Provided is a system for setting a driving guide of an electrical operating vehicle. The system may include: a terrain acquisition unit configured to acquire information about a current location of the vehicle, a charging location, an existing terrain, and a current terrain; a calculation unit configured to obtain first information about the vehicle based on the information acquired by the terrain acquisition unit; a battery state estimation unit configured to estimate an amount of available battery power of the vehicle; and a distance/speed calculation unit configured to calculate a drivable distance and drivable speed for the mission vehicle based on the first information obtained by the calculation unit, the estimated amount of available battery power, and a distance from the current location to a destination of the vehicle.

A method of curve speed adjustment for a road vehicle includes obtaining data on: current ego velocity; distance and curvature of an upcoming road segment, represented by a set of control points to be negotiated; road property of a road comprising the road segment; environmental properties; and driver properties. The obtained data is continuously streamed to a data processing arrangement arranged to perform a translation to target velocities for the respective control points and, for each respective control point, a translation from target velocity for that control point and distance to that control point and obtained current ego velocity, to a target acceleration to reach that control point at its target velocity. The resulting target accelerations are continuously streamed to a control unit of the road vehicle to adjust the road vehicle acceleration to reach each respective control point at its target velocity.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A cruise control method to control a driven vehicle includes: determining projected speeds of the driven vehicle at each of the predetermined-upcoming locations; determining a plurality of following times at each of the predetermined-upcoming locations of the driven vehicle and the projected speeds of the followed vehicle; determining whether at least one of the plurality of following times is less than the predetermined-minimum time threshold; and in response to determining that at least one plurality of following times is less than the predetermined-minimum time threshold, commanding, by the controller, the propulsion system of the driven vehicle to decrease the commanded axle torque by a torque adjustment in order to prevent each of the plurality of following times at each of the predetermined-upcoming locations from being less than the predetermined-minimum time threshold.

An autonomous machine may be returned to a base station for charging based on remaining battery energy and an estimated travel energy threshold. The estimated travel energy threshold may be determined based on a direct and obstacle-free route from the machine's current position to the base station and an estimated energy consumed per unit distance, which may be updated. The remaining battery energy may be calculated using a battery management system.