The invention relates to a control system for controlling a torque generator of a vehicle. The control system is configured to receive one or more electrical signals indicative of a surface indicator; receive one or more electrical signals indicative of a deceleration demand; select a surface type from a plurality of predetermined surface types based on said one or more electrical signals indicative of a surface indicator; determine a target vehicle deceleration in dependence on the selected surface type; determine, based on said one or more electrical signals indicative of a deceleration demand, a requirement to decelerate the vehicle; and in dependence on determining said requirement, output a control signal to the torque generator. The control signal is configured to cause the torque generator to provide the target vehicle deceleration.

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.

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.

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.

Systems and methods for reducing a current speed of a vehicle that can operate on solar energy to increase solar energy collection. The system may include a photovoltaic (PV) panel configured to receive sunlight to drive an electric motor, a solar loading sensor configured to detect solar load, a global position system (GPS) sensor configured to detect vehicle location data, a speed sensor configured to detect vehicle speed, and an electronic control unit (ECU) connected to the electric motor, the solar loading sensor, the speed sensor, and the GPS sensor. The ECU may determine whether the vehicle is exposed to solar load greater than a predetermined threshold value and, if so, present a driver of the vehicle a minimum acceptable speed to select based on sensor data and a difference of solar energy collection between the minimum acceptable speed and the current speed.

A travel control device includes: a first planning unit that, in response to the automobile being predicted to enter a restricted section in which a traveling condition is restricted, plans a traveling mode satisfying the restricted traveling condition as a first traveling mode in the restricted section; a second planning unit that plans a second traveling mode in a preparation section so as to perform the first traveling mode planned by the first planning unit, the preparation section being defined as a section extending to the restricted section before the automobile enters the restricted section, the second traveling mode adjusting a value of at least one parameter related to the first traveling mode to a preparation value appropriate for the first traveling mode; a control unit that controls travel of the automobile in the preparation section so as to perform the second traveling mode planned by the second planning unit.

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.

Embodiments described herein relate to the field of transport, particularly motor vehicles. A motor with predictive adjustment is described, as well as a motor controller of a vehicle, which is capable of automatically adjusting a physical parameter of a motor, such as the width of the air gap of an electric motor. A motor of a vehicle can include at least one physical parameter capable of being adjusted according to characteristic data predicted from the current path of the vehicle based on data provided by at least one vehicle motor sensor. Thus, the motor can be automatically adjusted according to characteristic data predicted from the current path based on the data of a motor sensor for optimizing the use of the motor, with respect to a parameter such as power consumption, transmission efficiency, or rotor warming, regardless of the route.

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.

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.