Abstract: A system for determining a representative vehicle software configuration for a subset vehicles that are part of a group of vehicles. The system includes one or more processors and a memory coupled to the one or more processors, where the memory stores data comprising a database and program code that, when executed by the one or more processors, causes the system to select a module configuration that is part of a set of combined module configurations as the representative vehicle software configuration based on at least one predefined criteria.

Abstract: A system is provided for updating vehicle software configurations for multiple vehicles. The system includes a network having multiple ECUs carried by the vehicles, with each ECU having an ECU software configuration including software components with one or more versions. The system further includes a network appliance having a processor communicating with the ECUs and a computer readable medium. The processor is programmed to identify coverage points for software components. The processor is further programmed to collect clusters for validating an update of the associated software components and determine optimal sets of clusters, which is less than or equal to a total of the clusters. The processor is further programmed to rank the clusters of the selected optimal set, based on a vehicle coverage percentage of each cluster, and transmit the optimal set for software configuration validation and then finally transmit the validated update to the associated vehicle ECUs.

Abstract: A system is provided for updating vehicle software configurations for multiple vehicles. The system includes a network having multiple ECUs carried by the vehicles, with each ECU having an ECU software configuration including software components with one or more versions. The system further includes a network appliance having a processor communicating with the ECUs and a computer readable medium. The processor is programmed to identify coverage points for software components. The processor is further programmed to collect clusters for validating an update of the associated software components and determine optimal sets of clusters, which is less than or equal to a total of the clusters. The processor is further programmed to rank the clusters of the selected optimal set, based on a vehicle coverage percentage of each cluster, and transmit the optimal set for software configuration validation and then finally transmit the validated update to the associated vehicle ECUs.

Abstract: A method and apparatus detecting battery drain are provided. The method includes: collecting critical data parameters from a plurality of electronic controller units (ECUs); identifying at least one ECU that is active from among the plurality of ECUs based on the critical data parameters and storing ECU snapshot data of the identified at least one ECU; determining an activity of the identified at least one ECU based on the ECU snapshot data and the critical data parameters; determining battery drain information based on at least one from among the ECU snapshot data, the critical data parameters, the activity of the identified at least one ECU, current draw information and fleet information; and outputting determined battery drain information. The method may be used to determine and isolate a root cause of battery drain by analyzing messages over a vehicle network.

Abstract: A method and apparatus detecting battery drain are provided. The method includes: collecting critical data parameters from a plurality of electronic controller units (ECUs); identifying at least one ECU that is active from among the plurality of ECUs based on the critical data parameters and storing ECU snapshot data of the identified at least one ECU; determining an activity of the identified at least one ECU based on the ECU snapshot data and the critical data parameters; determining battery drain information based on at least one from among the ECU snapshot data, the critical data parameters, the activity of the identified at least one ECU, current draw information and fleet information; and outputting determined battery drain information. The method may be used to determine and isolate a root cause of battery drain by analyzing messages over a vehicle network.