SYSTEMS AND METHODS FOR ALLOCATION OF CHARGING RATES BASED ON VEHICLE CHARACTERISTICS

    公开(公告)号:WO2022251376A1

    公开(公告)日:2022-12-01

    申请号:PCT/US2022/030947

    申请日:2022-05-25

    摘要: Systems and methods are provided herein for administering services (e.g., charging rates, charging costs, user experiences, etc.) to an electric vehicle based on a characteristic of the electric vehicle. This may be accomplished by an electric vehicle charging station (EVCS) charging an electric vehicle and using one or more sensors to capture information about the electric vehicle. The EVCS can using the captured information to determine a characteristic of the electric vehicle. The EVCS can then use the determined characteristic of the electric vehicle to administer a service. For example, an EVCS may capture an image of an electric vehicle and use image recognition to determine the model (i.e., vehicle characteristic) of the electric vehicle. The EVCS can then charge the electric vehicle using a first charging rate (i.e., service) based on the model of the electric vehicle.

    SYSTEMS AND METHODS FOR RETRACTING A CHARGING CABLE OF AN ELECTRIC VEHICLE CHARGING STATION

    公开(公告)号:WO2022099106A1

    公开(公告)日:2022-05-12

    申请号:PCT/US2021/058391

    申请日:2021-11-08

    发明人: KINSEY, Jeffrey

    IPC分类号: B60L53/14 B60L53/16 B60L53/30

    摘要: The disclosed embodiments provide systems and methods for retracting a charging cable at an electric vehicle charging station (EVCS). The EVCS includes a housing, a charging cable configured to provide an electric current to charge a battery of an electric vehicle, a sensor for detecting whether external objects are within a predefined region proximal to the housing, a motor configured to retract at least a portion of the charging cable, and a controller electrically coupled to both the sensor and the motor. The method includes energizing the motor, via the controller, to retract at least a portion of the charging cable when retraction criteria are met. The retraction criteria include criteria that are met when the charging cable is not coupled to a vehicle and the one or more sensors do not detect an external object in the predefined region proximal to the housing.

    SYSTEMS AND METHODS FOR DETERMINING NETWORK IDENTIFIERS OF USER DEVICES

    公开(公告)号:WO2022099104A1

    公开(公告)日:2022-05-12

    申请号:PCT/US2021/058387

    申请日:2021-11-08

    摘要: The disclosed implementations provide systems and methods for tracking a user device. The method includes receiving, from a respective application running on a first electronic device associated with a user, a request initiated by the user to affiliate with a second electronic device. In response to the request by the user to affiliate with the second electronic device, the method includes determining a wireless identifier of the first electronic device. After determining the wireless identifier of the first electronic device, the method includes receiving an indication that a second wireless access point, distinct from the first wireless access point, is in communication with the first electronic device of the user based on the second wireless access point detecting the wireless identifier of the first electronic device. The method further includes determining that the first electronic device of the user is proximal to the second wireless access point.

    SYSTEM AND METHOD FOR PROVIDING ELECTRIC VEHICLE LOCATION ASSESSMENTS

    公开(公告)号:WO2023023374A1

    公开(公告)日:2023-02-23

    申请号:PCT/US2022/040959

    申请日:2022-08-19

    IPC分类号: G06Q10/04

    摘要: An approach is provided for generating an electric vehicle score (EVScore), a rating scale representing, for a user, a future estimated ease of ownership and operation of an EV within a defined geographic region. The method includes receiving a plurality of regional engine inputs pertaining to a defined geographic region, and one or more user inputs pertaining to the user. The method also includes processing, via a predictive model, the plurality of regional engine inputs and the one or more user inputs to generate one or more intermediate scores for the defined geographic region. The method also includes receiving a plurality of projected inputs pertaining to projected ownership and operation costs and benefits of electric vehicles (EVs) for the defined geographic region. The method also includes processing, via a trained machine learning model, the plurality of projected inputs and the one or more intermediate scores to generate the EVScore.

    SYSTEMS AND METHODS FOR CHARGING AN ELECTRIC VEHICLE BASED ON INFERRED DWELL TIME

    公开(公告)号:WO2023283178A1

    公开(公告)日:2023-01-12

    申请号:PCT/US2022/036098

    申请日:2022-07-05

    IPC分类号: B60L53/66 B60L53/65

    摘要: Systems and methods are provided herein for charging an electric vehicle based on the inferred dwell time of a user of the electric vehicle. This may be accomplished by an electric vehicle charging station (EVCS) receiving a request from a user to charge an electric vehicle. The EVCS can use the request to identify a profile associated with the user, wherein the profile comprises user information related to the user. The EVCS then estimates a dwell time for the user using the user information. The EVCS can use the dwell time to estimate a total charge time for the electric vehicle. The EVCS then charges the electric vehicle based on the estimated charge time.

    SYSTEM AND METHOD FOR AUTOMATIC TREADWEAR CLASSIFICATION

    公开(公告)号:WO2022226021A1

    公开(公告)日:2022-10-27

    申请号:PCT/US2022/025475

    申请日:2022-04-20

    摘要: A system and method are provided for automatically alerting drivers to potential tread ware problems to enable them to avoid the danger hazards associated with worn treads. A tread-evaluation station is placed at a location where images of tires may be captured. Images of tires are recorded when a vehicle is at or near the tread-evaluation station. An automated analysis is performed on the images. Based on the automated analysis, tires depicted in the captured images are classified into categories of wear. The automated analysis may include a detection component trained to detect tires in images, and a classification model trained to assign a classification to the wear status of the tires identified by the detection component. The tread-evaluation station may further be trained to predict when tires that do not currently need replacing will need replacing.