A system includes a server including a controller. The controller is configured to obtain information regarding consent or non-consent of a user of a vehicle to disclosure of history data of the vehicle to a third party, and determine, when determination is made that consent of the user is not obtained, whether to transmit a signal that prompts for obtaining consent of the user, based on at least one of the history data of the vehicle and user activity information of the user.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

A controller of an information processing apparatus acquires, in a case in which a previous user of a vehicle has given consent to disclose history data for the vehicle, information indicating whether a current user of the vehicle has given consent to disclose the history data for the vehicle, and determines to grant the current user an incentive in a case in which it is determined, based on the acquired information, that the current user has given consent to disclose the history data for the vehicle.

A controller of an information processing apparatus acquires, in a case in which a previous user of a vehicle has given consent to disclose history data for the vehicle, information indicating whether a current user of the vehicle has given consent to disclose the history data for the vehicle, and determines to grant the current user an incentive in a case in which it is determined, based on the acquired information, that the current user has given consent to disclose the history data for the vehicle.

Methods for detecting potential thermal events of a towable trailer and associated monitoring systems are provided. The method comprises the following steps, namely, first, obtaining at least one data set comprising a plurality of physical sensor inputs. The plurality of physical sensor inputs may comprise a brake chamber pressure input from the brake chamber sensor, a brake lining temperature input from the brake lining temperature sensor, and a wheel end temperature input from the wheel end temperature sensor, and other inputs from additional physical sensors. Second, transmitting at least one data set to an analytics engine. Third, selecting, with the analytics engine, a thermal risk value from a look-up table based on the data set. Fourth, comparing, with the analytics engine, the selected thermal risk value to a predetermined threshold. Fifth, generating, with the analytics engine, a thermal alert if the thermal risk value exceeds the predetermined threshold.

Methods for detecting potential thermal events of a towable trailer and associated monitoring systems are provided. The method comprises the following steps, namely, first, obtaining at least one data set comprising a plurality of physical sensor inputs. The plurality of physical sensor inputs may comprise a brake chamber pressure input from the brake chamber sensor, a brake lining temperature input from the brake lining temperature sensor, and a wheel end temperature input from the wheel end temperature sensor, and other inputs from additional physical sensors. Second, transmitting at least one data set to an analytics engine. Third, selecting, with the analytics engine, a thermal risk value from a look-up table based on the data set. Fourth, comparing, with the analytics engine, the selected thermal risk value to a predetermined threshold. Fifth, generating, with the analytics engine, a thermal alert if the thermal risk value exceeds the predetermined threshold.

A data collecting system including a component assembled in an electric vehicle, a data collector connected to the component through a bus of the electric vehicle, and a debug server connected to the data collector is disclosed. The component collects different data from the electric vehicle and performs different sending procedures respectively under different situations including: a regular sending-procedure sends regular data to the bus based on a regular frequency; a high-speed sending-procedure starts collecting high-speed data and sending the same to the bus based on a high-speed frequency after a condition is satisfied; and a high-resolution sending-procedure sends high-resolution data to the bus after an error occurs, wherein the high-resolution data is collected within a period of time before and after the error occurs. The data collector collects these data from the bus. The debug server analyzes the data collected by the data collector.