In one embodiment, a vehicle battery diagnostics system forecasts a future state for a battery by monitoring, over a period of time, one or more of voltage, current or temperature signals from at least one battery of the vehicle, storing information from the voltage, current or temperature signals as time-series data, obtaining a forecasting model from a server, the forecasting model indicating at least one shapelet feature that corresponds to a forecast categorization, identifying, in the time-series data, a shapelet that matches the at least one shapelet feature to a degree exceeding a predetermined similarity threshold, and providing a notification indicating the forecast categorization.

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 powertrain system includes a powertrain and a controller. The controller commands a change in torque produced by the powertrain for a given change in pedal position according to a default calibration schedule that is defined by a driving style of a driver such that the change in torque is different for different drivers.

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.

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.

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.