Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing a wireless power transfer system are disclosed. In one aspect, a method includes the actions of receiving data related to the energy usage of an electric vehicle. The actions further include, based on the data related to the energy usage of the electric vehicle, determining that a problem exists with the electric vehicle. The actions further include, in response to determining that that the problem exists with the electric vehicle, accessing diagnostic data of the electric vehicle. The actions further include, based on the diagnostic data of the electric vehicle and the data related to the energy usage of the electric vehicle, determining a cause of the problem with the electric vehicle. The actions further include providing, for output, data indicating the cause of the problem with the electric vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for maintaining wireless power transfer systems are disclosed. In one aspect, a method includes the actions of receiving, from an electric vehicle and from an electric vehicle charger, electric vehicle sensor data that reflects a characteristic of the electric vehicle and electric vehicle charger data that reflects a characteristic of the electric vehicle charger. Based on the electric vehicle sensor data and the electric vehicle charger data, the actions further include determining that a component of the electric vehicle or a component of the electric vehicle charger should be repaired or replaced. The actions further include providing, for output, data indicating that the component of the electric vehicle or the component of the electric vehicle charger should be repaired or replaced.

Abstract: Described herein are techniques for optimizing charging and/or replacement of battery packs within a fleet of electric vehicles. In some embodiments, such techniques may include receiving information indicating a current status of one or more electric vehicles in a fleet of electric vehicles, identifying schedule data for the one or more electric vehicles, and determining, based on the schedule data and the current status of the one or more vehicles, a charging schedule for the fleet of electric vehicles. The techniques may further include correlating one or more charging plates to the one or more electric vehicles and directing power to the one or more charging plates in accordance with the determined charging schedule.

Abstract: Described herein are techniques for optimizing operation of a fleet of electric vehicles. In some embodiments, a fleet management platform may maintain, in relation to a plurality of drivers, driving behavior patterns determined to be associated with the each of the plurality of drivers. Upon receiving a request for optimization of at least one operation related to a fleet of electric vehicles, such techniques may comprise determining one or more factors associated with the optimization of the at least one operation, identifying a set of driving behavior patterns correlated to the one or more factors, and customizing the at least one operation based on the identified set of behavior patterns and the driving behavior patterns.