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Patent US10191096
Issued 2019-01-29
Electric Vehicle Disaggregation And Detection In Whole-house Consumption Signals
The present invention is directed to systems and methods of disaggregating and detecting energy usage associated with electric vehicle charging from a whole-house consumption signal. In general, methods of the present invention may include: identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and accounting by the electronic processor for feedback of any incorrectly detected signals.
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- 1. A method of electronically detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising:
identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and identifying that energy consumption associated with the charging of the electric vehicle occurred, and informing a user of the same.
- 11. A method of electronically detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising:
identifying by an electronic processor, based at least in part upon long and decreasing patterns, potential interval candidates of electric vehicle charging using sliding windows of various sizes and optimization techniques including dynamic programming, alpha-beta pruning, and/or branch-and-bound algorithms; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate by fitting each potential interval candidate shape with one or more parametric models; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle based at least in part upon identifying upward transitions in the whole-house profile and applying signal processing techniques; receiving feedback from a user of the electric vehicle; and identifying that energy consumption associated with the charging of the electric vehicle occurred, and informing a user of the same.
- 14. A method of electronically detecting and disaggregating a consumption signal associated with the partial charging of an electric vehicle from a whole-house profile, comprising:
identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon features characteristic of previously determined electric vehicle charging; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and identifying that energy consumption associated with the charging of the electric vehicle occurred, and informing a user of the amount of energy consumption associated with the charging of the electric vehicle.
- 16. A system for detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising:
a candidate search module, configured to identify potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; a parametric fitting module, configured to determine intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate by fitting each potential interval candidate shape with one or more parametric models; an initial point detection module, configured to determine an initial point of charging for each interval associated with the charging of an electric vehicle; and a feedback module, configured to receive feedback associated with detected signals.
- 20. A method of electronically detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising:
identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon identifying box-shaped energy usage patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate against factors including amplitude, duration, and time-of-day; and identifying that energy consumption associated with the charging of the electric vehicle occurred, and informing a user of the amount of energy consumption associated with the charging of the electric vehicle.
