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 dynamic control of an electric vehicle operable based on a throttle value received from a throttle and a default throttle map correlating default output values with throttle values, the method including: determining a user parameter; detecting a condition indicative of perturbation; in response to detecting the condition indicative of perturbation, determining a replacement output value for a first throttle value based on the user parameter; and controlling vehicle operation to meet the replacement output value in response to receipt of the first throttle value.

The present power adjustment device includes: a storage device that stores vehicle information including a past behavior history of the electric vehicle participating in a VPP; and a charge-discharge instruction device for instructing the electric vehicle to charge and discharge power. The charge-discharge instruction device creates a charge-discharge plan of the electric vehicle to satisfy the power adjustment request, and instructs the electric vehicle of the created charge-discharge plan. In addition, when the charge-discharge instruction device receives an additional request of power adjustment after the instruction of the charge-discharge plan, the charge-discharge instruction device creates a change charge-discharge plan to meet the additional request, based on the estimated behavior of the electric vehicle, and the charge-discharge plan creation unit presents the electric vehicle of the charge-discharge plan that is created. The change charge-discharge plan includes information on an economic merit.

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.

Based on gradient information included in road information on a path scheduled to be traveled by an electric vehicle, a section divider divides the path into multiple sections. A discharge-plan-candidate deriving unit derives multiple discharge plans defined by a combination of a target SOC of a secondary battery at the time of departure and a target SOC at the time of arrival at a destination, based on required capacity of the secondary battery. A section deterioration-amount calculator calculates a deterioration rate or an amount of deterioration of the secondary battery in each of the sections based on an SOC usage range and an output current of the secondary battery in the corresponding one of the sections with reference to a discharge deterioration map defining a relationship between a combination of the SOC usage range in the corresponding one of the sections and a discharge rate, and the deterioration rate of the secondary battery. A discharge plan selector selects a discharge plan minimizing a total deterioration rate or the amount of deterioration from among the multiple discharge plans.

The technology relates to managing nighttime power for solar-powered vehicles. A system may include a sunrise estimator for estimating a time until a next sunrise, a battery state estimator for estimating a battery state, a critical battery estimator for determining a battery threshold, below which subsystems may be powered off, and an alert monitor to determine, and communicate to the solar-powered vehicle, a charge threshold and a restart charge threshold. A method may include operating a vehicle in an operational power mode, estimating a time until a next sunrise, estimating a battery state, determining a preservation battery threshold based on the estimated time until the next sunrise and the estimated battery state, determining a minimum charge threshold based on the preservation battery threshold, monitoring a battery charge level of the vehicle throughout the night, and if the battery charge level drops below the minimum charge threshold, implementing a preservation power mode.

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.