Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for receiving an update from a remote source may comprise a step of connecting wirelessly to a transceiver. The method may comprise a step of communicating with a remote database via the transceiver. The method may comprise a step of providing operational parameter data to the remote database. The method may comprise a step of receiving updated operational parameters from the database based on a comparison of the operational parameter data to a latest version of the operational parameter data performed by the remote database. The method may comprise a step of updating one or more components of a vehicle using the updated operational parameters. The remote database may be configured to determine a status of the components of the vehicle and provide the updated operational parameters to keep software used by the vehicle to a latest version.

Abstract: 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.

Abstract: An apparatus comprising a sensor interface, a memory and a processor. The sensor 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 (i) analyze the sensor data samples stored in the memory to detect a pattern, (ii) determine time efficient operational parameters for the vehicle in response to (a) a destination and (b) an estimated travel time to the destination. The estimated travel time may be based on current conditions of the vehicle indicated by the pattern. The time efficient operational parameters may be selected to decrease the estimated travel time. At least one of the sensor data samples may comprise telemetry data.

Abstract: A vehicle may have a power train, a sensor interface, a storage device and a processing device. The sensor interface may receive sensor data samples during operation of a vehicle. The storage device may store the sensor data samples over a number of points in time. The processing device may analyze the sensor data samples stored in the storage device to detect a pattern and adjust an amount of power applied to the power train of the vehicle in response to the pattern. The pattern may be used to predict future conditions for the vehicle. The amount of power may be adjusted to improve power-resource-consumption efficiency.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive (i) sensor data samples during operation of a vehicle and (ii) data from a telemetry system. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to (i) analyze the sensor data samples stored in the memory to determine (a) operational parameters of the vehicle and (b) information associated with a second vehicle and (ii) adjust the operational parameters in response to the information associated with the second vehicle. The data from the telemetry system and the information associated with the second vehicle may be used to determine an amount of space between the vehicle and the second vehicle. The operational parameters may be adjusted to keep the amount of space within a pre-determined range.

Abstract: A vehicle comprising a power train, a drive train, a solar array, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of the vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern, (ii) monitor an amount of solar power converted using the solar array, (iii) determine an energy usage for traveling a route based on the pattern and (iv) adjust an amount of power applied to the power train in response to the energy usage for traveling the route. The amount of power applied to the power train may be adjusted in response to the amount of solar power.

Abstract: 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.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to (a) receive (i) sensor data samples during operation of a vehicle and (ii) data from a telemetry system and (b) connect to a remote database. The memory may be configured to store (a) the sensor data samples over a number of points in time and (b) the data from the telemetry system. The processor may be configured to (i) analyze the sensor data samples stored in the memory to determine current conditions and (ii) associate the current conditions with a route segment traveled by the vehicle. The route segment is identified according to the data from the telemetry system. The current conditions associated with the route segment are uploaded to the remote database to enable historical route information for a plurality of route segments.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: An apparatus comprising a sensor interface, a memory and a processor. The sensory 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 (i) analyze the sensor data samples stored in the memory to detect a pattern and (ii) predict a destination of a driver in response to (a) the pattern and (b) historical data associated with operation of the vehicle. At least one of the sensor data samples may be driver-related. At least one of the sensor data samples may comprise telemetry data.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: A vehicle comprising a drive train, an internal combustion engine, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern and (ii) manage fuel supplied to the internal combustion engine in response to (a) current conditions and (b) operational parameters of the vehicle. The pattern is used to determine the current conditions. The fuel supplied to the internal combustion engine is managed to enable efficient fuel usage.