An operating system for a vehicle having an electric vehicle (EV) drivetrain and a plurality of electrically-powered accessories is described. A controller determines, via a navigation system, a target off-road trail segment, and characterizes the subject vehicle, ambient conditions, and the target off-road trail segment to determine an estimated consumption of electric energy for the vehicle to operate over the target off-road trail segment. The EV drivetrain and the electrically-powered accessories are controlled during operation of the vehicle on the off-road trail segment based upon the estimated consumption of electric energy for the subject vehicle. This is done to minimize a likelihood of a low SOC event for the DC power source for the trail segment and to avoid a low battery state at a location that is distal from a charging station.

An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data of an exterior environment of a vehicle. The processor may be configured to process the pixel data arranged as video frames, perform computer vision operations to detect objects in the video frames, extract characteristics about the objects detected, determine driving conditions in response to an analysis of the characteristics and generate a control signal. The control signal may be configured to perform a gear shift. The driving conditions may be used to predict a future drivetrain configuration of the vehicle. The gear shift may be performed if a comparison of the future drivetrain configuration with a current drivetrain configuration of the vehicle meets a threshold condition. The gear shift may not be performed if the comparison does not meet the threshold condition.

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.

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.

A rough road escaping system for a vehicle having an electric-axle and a method thereof, may enable wheels respectively connected to first and second axle shafts to easily escape from a rough road by generating a recoiling force of the vehicle through motor torque control that alternately applies several time forward driving torque output from a first motor included in a rear wheel-first electric-axle to a first axle shaft and backward driving torque output from a second motor included in a rear wheel-second electronic-axle to a second axle shaft.

A method of vehicle operation includes, using one or more processors, receiving one or more inputs, from one or more sensors of a first vehicle and/or one or more sources communicatively coupled with the one or more processors, while the vehicle is traveling on a vehicle route. In implementations the one or more inputs are used to determine a distance between the first vehicle and a second vehicle and this distance is used as an input to a power management system to increase an energy efficiency of the first vehicle while traveling on the vehicle route. In implementations the one or more inputs and data regarding regenerative braking of the first vehicle are used to calculate one or more speeds and a power management system applies the one or more calculated speeds to the first vehicle. In implementations a reliability estimate is calculated for the one or more calculated speeds.

A rough road escaping system for a vehicle having an electric-axle and a method thereof, may enable wheels respectively connected to first and second axle shafts to easily escape from a rough road by generating a recoiling force of the vehicle through motor torque control that alternately applies several time forward driving torque output from a first motor included in a rear wheel-first electric-axle to a first axle shaft and backward driving torque output from a second motor included in a rear wheel-second electronic-axle to a second axle shaft.

A method of vehicle operation includes, using one or more processors, receiving one or more inputs from one of one or more sensors of a first vehicle and one or more external sources communicatively coupled with the one or more processors. The one or more processors determine a plurality of optional routes existing between a first location of the first vehicle and a future destination of the first vehicle. Using the one or more inputs, the one or more processors predict a vehicle route by predicting which of the optional routes the first vehicle will take to get from the first location to the future destination.

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 vehicle control apparatus, may include a driving environment sensor configured for obtaining information on a front vehicle; a communication portion configured for receiving road information; and a controller that utilizes the information on the front vehicle and the road information to determine an acceleration expectable state of a host vehicle, increases torque of a motor before a driver's input to an accelerator pedal of the host vehicle when the host vehicle is in the acceleration expectable state, and further increases the torque of the motor to be greater than a motor torque rise slope in the acceleration expectable state when the host vehicle is in the acceleration expectable state after increasing the torque of the motor.