Method and Device for Predicting the Waiting Time at a Charging Station
AssigneeBayerische Motoren Werke Aktiengesellschaft
InventorsHeidrun BELZNER, Daniel KOTZOR
Life of this patent
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Abstract
A device for predicting a waiting time at a charging station includes n charging posts for carrying out n charging processes, where n≥1. The device is designed to determine state data regarding the occupancy of the n charging posts and of m additional waiting positions at the charging station at an initial point in time t0, where m≥1. The device is further designed to predict a waiting time for carrying out a charging process at the n charging posts at a prediction point in time t1 on the basis of an occupancy model of the n charging posts and the m waiting positions.
Claims21
1-12. (canceled)
A device for predicting a waiting time at a charging station, which has n charging columns for carrying out n charging processes, with n≥1, wherein the device is configured to:
- ascertain status data with respect to an occupancy of the n charging columns and of m additional waiting positions at the charging station at an initial time t0, with m≥1;
- and
- predict a waiting time to carry out a charging process at the n charging columns at a prediction time t1 on a basis of an occupancy model of the n charging columns and the m additional waiting positions, wherein the occupancy model depends on a charging request rate λ of requests to carry out charging processes and on a charging end rate μ of endings of charging processes.
A method for predicting a waiting time at a charging station, which has n charging columns for carrying out n charging processes, with n≥1, the method comprising:
- ascertaining status data with respect to an occupancy of the n charging columns and of m additional waiting positions at the charging station at an initial time t0, with m≥1;
- and
- predicting, on a basis of an occupancy model of the n charging columns and the m waiting positions, a waiting time to carry out a charging process at one of the n charging columns at a prediction time t1, wherein the occupancy model depends on a charging request rate λ of requests to carry out charging processes and on a charging end rate μ of endings of charging processes.
Dependencies are inferred from the claim text.