A control system identifies vehicle systems for combining into a larger convoy. Each the vehicle systems is formed from at least one propulsion-generating vehicle and at least one non-propulsion-generating vehicle. The control system directs the identified vehicle systems to couple with each other for travel as the convoy from a first location toward a different, second location. The control system directs a first vehicle system in the convoy to separate from the convoy and/or a second vehicle system to join the convoy by coupling with at least one of the vehicle systems in the convoy in an intermediate location between the first and second locations. The vehicles in each of the vehicle systems in the convoy remain connected during separation of the first vehicle system from the convoy and/or during joining of the second vehicle system to the convoy.

A bicycle configurable for operating using a speed based control system and scheme or a torque based control system and scheme. A speed sensor or a torque sensor may detect an operating characteristic of the bicycle and a controller may determine whether to operate using a speed based control system and scheme or a torque based control system and scheme based on the operating characteristic. A signal from a speed sensor or a torque sensor may be used for determining the mechanical limits of a CVT range and when to incorporate an electric motor.

A torque control of an in-vehicle motor is performed in consideration of a slip prevention control. Filtering processing is performed by a first filter processor on a high-order torque command value from a high-order device, and filtering processing is performed by a second filter processor on an angular velocity detected by an angular velocity detector. A driving torque command value to drive an electric motor is calculated based on filtering processing results. Each of the filter processors changes a time constant of the filtering processing according to a road surface friction coefficient as disturbance information.

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 object of the present invention is to provide a technique capable of predicting whether a vehicle can reach a desired facility or point by traveling on a retrieved route to the destination. A navigation apparatus includes an information storage that stores map information, a current position detector that detects a current position of the vehicle, an instruction receiver that receives a setting of a destination, and a vehicle information receiver that receives information on a remaining amount of the electricity charged. The navigation apparatus further includes a processing circuitry that retrieves a route to the destination from the map information and calculates a first travelable range in which the vehicle is allowed to travel from the current position through at least a part of the route to cause the first travelable range to be displayed.

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.

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.

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.

Disclosed is a vehicle performing autonomous driving. The vehicle includes: a display, a driver to drive the vehicle, an inputter configured to receive destination information related to a destination of the vehicle, a power supply including a battery for supplying electric power to the vehicle, a first sensor module to detect a capacity of the battery, and a controller to determine an expected driving route of the vehicle based on the destination information. The controller calculates an expected power consumption of the vehicle based on the expected driving route, and changes an autonomous driving state of the vehicle in the expected driving route based on the expected power consumption and the detected capacity of the battery.