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.

A method for torque control of an electric vehicle on a slippery road surface and a terminal device are provided. The method includes: presetting a torque-lower-limit-value; setting, when an anti-lock braking system of the electric vehicle is activated, the torque-lower-limit-value as a second numerical value to reduce an absolute value of a reverse torque exerted on the vehicle wheel due to the energy recovery, and the vehicle wheel enters an anti-lock state; maintaining the anti-lock state of the vehicle wheel for a preset first time period; comparing the currently requested torque value with a preset third numerical value after the first time period is passed; and resetting the torque-lower-limit-value to the first numerical value to enable the vehicle wheel to exit the anti-lock state, if the currently requested torque value is greater than the third numerical state.

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.

A vehicle is provided to output an optimal driving path. The vehicle includes a battery storing an electric energy and a storage storing a position of a vehicle return location and an electric vehicle fuel economy value for each road type. A communicator receives delivery information including position information of a destination, and external information including real-time traffic information, road information, real-time temperature information, or charging station information. A controller determines a driving path based on information, determines the electric energy required for driving on the driving path based on the road type and the electric vehicle fuel economy value for each road type, determines whether the vehicle is capable of driving on the driving path based on a battery SOC and the determined required electric energy, and determines a final path based on the presence of a ramp with a slope greater than a preset slope.

A front/rear-wheel independent drive vehicle includes: (a) a front-wheel drive unit including a front-side drive source configured to drive a front wheel of the vehicle and a front-side transmission mechanism disposed in a power transmission path between the front-side drive source and the front wheel and having a constant gear ratio; and (b) a rear-wheel drive unit including a rear-side drive source configured to drive a rear wheel of the vehicle and a rear-side transmission mechanism disposed in a power transmission path between the rear-side drive source and the rear wheel and having a constant gear ratio. The front-wheel drive unit and the rear-wheel drive unit are spaced apart from each other in a longitudinal direction of the vehicle. The gear ratio of the rear-side transmission mechanism is higher than the gear ratio of the front-side transmission mechanism.

A method for controlling motor assistance provided by a motor of an electric bike is disclosed. The method includes determining a variable rate of change of a governing factor, which defines the extent to which a governing factor changes over a defined time interval The rate of change is selected such that the governing factor is decremented when a current speed is greater than a target speed, and the governing factor is incremented when the current speed is less than the target speed. The method further includes adjusting an existing governing factor based on the rate of change of the governing factor determined. The method also includes applying the governing factor calculated to a motor assistance determined for actuating the motor. A greater governing factor results in greater motor assistance than a comparatively lesser governing factor.

Systems, methods, devices, and models for range estimation and analysis in battery powered vehicles are described. Energy consumption over vehicle trips is collected, to evaluate weighting factors for a weighted sum. The weighted sum is evaluated based on determined weighting factors and expected trip data, to determine an energy consumption of a trip or trips of a vehicle. Determined energy consumption for trips is used for evaluating suitability of the vehicle for performing the trips.