Abstract: A method and application that utilizes a signal processing algorithm is provided for detecting plug-in electric vehicle charging events through interrogation of smart meter data. The method is a form of non-invasive load monitoring that allows the utility to track plug-in electric vehicle charging events in real time or over extended periods. These parameters are suitably flexible so as to accommodate diverse electric vehicle technologies and a range of electric vehicle owners' charging habits. Application of the method facilitates the integration of electric vehicles into utilities' electrical grids, protection of the utilities' assets, geographic mapping of electric vehicle owners and charging events, managed charging through communication between the utility and the vehicle or owner, managed charging through the offer of time of use rates for electric vehicle owners, and an enabling technology to accompany other Smart Grid functions such as Vehicle-to-Grid distributed energy storage.

Abstract: A method and application that utilizes a signal processing algorithm is provided for detecting plug-in electric vehicle charging events through interrogation of smart meter data. The method is a form of non-invasive load monitoring that allows the utility to track plug-in electric vehicle charging events in real time or over extended periods. These parameters are suitably flexible so as to accommodate diverse electric vehicle technologies and a range of electric vehicle owners' charging habits. Application of the method facilitates the integration of electric vehicles into utilities' electrical grids, protection of the utilities' assets, geographic mapping of electric vehicle owners and charging events, managed charging through communication between the utility and the vehicle or owner, managed charging through the offer of time of use rates for electric vehicle owners, and an enabling technology to accompany other Smart Grid functions such as Vehicle-to-Grid distributed energy storage.