Prediction-based recommendations for managing real-time congestion at electric vehicle (ev) charging stations
AssigneeAmerican Honda Motor Co., Inc.
InventorsDavid CUN, Joslyn Elena GARCIA
Life of this patent
Estimating the term…
Abstract
Systems and methods for facilitating and optimizing re-fueling station selection. A server may receive information about a charging station’s current congestion levels. The server can predict whether the congestion is due to an impromptu event in a local area around the charging station and estimate how much longer the event will affect congestion levels at the charging station. This information can be used to generate real-time recommendations for selecting a charging station destination to a driver.
Claims20
A method for generating intelligent and dynamic predictions to facilitate vehicle charging station selections, the method comprising:
- receiving, at a charging guidance system and from a first electric vehicle (EV), a status request for a first charging station;
- receiving, at the charging guidance system and from a second EV located on-site at the first charging station, a first dataset collected via an onboard sensor of the second EV;
- determining, at the charging guidance system and based on the first dataset, that there is a greater-than-average level of vehicle congestion at the first charging station;
- receiving, at the charging guidance system, a second dataset describing one or more events currently occurring within a local vicinity of the first charging station;
- predicting, at the charging guidance system, that a first event of the one or more events is most likely to be causing the vehicle congestion;
- and
- causing the first EV to present a message to its driver identifying the first event as a potential cause of the vehicle congestion at the first charging station.
A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to generate intelligent and dynamic predictions to facilitate vehicle charging station selections by:
- receive, at a charging guidance system and from a first electric vehicle (EV), a status request for a first charging station;
- receive, at the charging guidance system and from a second EV located on-site at the first charging station, a first dataset collected via an onboard sensor of the second EV;
- determine, at the charging guidance system and based on the first dataset, that there is a greater-than-average level of vehicle congestion at the first charging station;
- receive, at the charging guidance system, a second dataset describing one or more events currently occurring within a local vicinity of the first charging station;
- predict, at the charging guidance system, that a first event of the one or more events is most likely to be causing the vehicle congestion;
- and
- cause the first EV to present a message to its driver identifying the first event as a potential cause of the vehicle congestion at the first charging station.
A system for generating intelligent and dynamic predictions to facilitate vehicle charging station selections comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to:
- receive, at a charging guidance system and from a first electric vehicle (EV), a status request for a first charging station;
- receive, at the charging guidance system and from a second EV located on-site at the first charging station, a first dataset collected via an onboard sensor of the second EV;
- determine, at the charging guidance system and based on the first dataset, that there is a greater-than-average level of vehicle congestion at the first charging station;
- receive, at the charging guidance system, a second dataset describing one or more events currently occurring within a local vicinity of the first charging station;
- predict, at the charging guidance system, that a first event of the one or more events is most likely to be causing the vehicle congestion;
- and
- cause the first EV to present a message to its driver identifying the first event as a potential cause of the vehicle congestion at the first charging station.
Dependencies are inferred from the claim text.