An electric charge management device for a vehicle includes a display screen and circuitry. The circuitry sets a first threshold value for a first discharge level of a battery of the vehicle. The first discharge level is greater than a zero state of charge (SOC) of the battery. The circuitry sets a second threshold value for a second discharge level of the battery based on first information associated with the vehicle and/or a user of the vehicle. The circuitry determines a first energy cost for an energy amount between the second discharge level and a current SOC of the battery. The circuitry controls the vehicle to transfer the energy amount to an external electric power system, which is different from the electric charge management device, based on the determined first energy cost.

A system for controlling a hybrid propulsion system includes a computer programmed to obtain altitude and terrain information associated with a predetermined route for the hybrid propulsion system comprising a first energy source and a second energy source. The computer is also programmed to obtain current and forecast ambient weather information associated with the predetermined route of the hybrid propulsion system, determine a power requirement and a torque requirement of the hybrid propulsion system associated with the altitude and the terrain along the predetermined route of the hybrid propulsion system, generate a trip plan to optimize at least one of a plurality of performance parameters of the hybrid propulsion system as the hybrid propulsion system travels along the predetermined route, and preferentially select the first energy source and/or the second energy source based on the trip plan.

A powertrain system may determine a power distribution for a set of power sources of a vehicle. The powertrain system may be coupled to a perception system that may provide perception data indicating a scenario, situation, or environment that has been encountered by the vehicle. The powertrain system may also receive health values. The powertrain system may include machine learning model that may generate the power distribution based on one or more of the perception data, the health values, and a power request.

A motor controller includes an atmospheric pressure sensor, a coil temperature sensor, and a voltage sensor configured to detect a voltage applied to a motor. The motor controller calculates a partial discharge inception voltage in accordance with the atmospheric pressure and the coil temperature, limits an output of the motor in response to the coil temperature exceeding a preset coil temperature upper limit value, and reduces the coil temperature upper limit value in response to a voltage exceeding the partial discharge inception voltage.

Provided is an information processing apparatus distributed in a member configured to be removable in a mobile object, the information processing apparatus including: a type information obtaining unit, configured to obtain type information to distinguish at least one of a type and an application of the mobile object, when the member is installed in the mobile object; and a mobile object determination unit, configured to determine at least one of a type and an application of the mobile object installed by the member, based on the type information obtained by the type information obtaining 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.

An electrified vehicle having an electric machine coupled to a traction battery to selectively propel the vehicle and associated method for the electrified vehicle include receiving trip data from an external server, the trip data including a plurality of road segments of a selected route from a starting location to a destination, each road segment having an associated energy consumption and distance, calculating a distance-to-empty (DTE) based on a remaining trip distance to the destination, available energy of the traction battery, an estimated traction battery energy required for the remaining trip distance, and an overall vehicle efficiency, the estimated traction battery energy being based on a combination of the received segment energy consumption and distance of each remaining segment in the trip, and communicating the DTE to a display within the electrified vehicle to reduce fluctuations in displayed DTE during travel along routes with nonlinear energy consumption (changing energy efficiency).

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.