SYSTEM AND METHOD FOR MANAGING FLEET OF ELECTRIC VEHICLES

    公开(公告)号:US20230305568A1

    公开(公告)日:2023-09-28

    申请号:US17703066

    申请日:2022-03-24

    CPC classification number: G05D1/0217 G05D1/0291 G05D1/0225 B60L58/12

    Abstract: A system for managing a fleet of electric vehicles and respective fleet drivers includes a command unit having a processor and tangible, non-transitory memory on which instructions are recorded. The command unit is adapted to obtain input variables, including respective fleet tasks and their priority status. Route data for the respective fleet tasks is obtained. The command unit is adapted to obtain an objective function defined by a plurality of influence factors having respective weights. The command unit is adapted to obtain optimal charging schedules respectively for the electric vehicles and match the respective fleet tasks to the electric vehicles and the respective fleet drivers, based in part on the objective function, input variables and the route data. The influence factors may include energy cost optimization, timeliness of task completion and minimizing range anxiety. In some embodiments, the respective weights of the influence factors are designated by a fleet manager.

    Context-sensitive adjustment of off-road glance time

    公开(公告)号:US11587461B2

    公开(公告)日:2023-02-21

    申请号:US16661665

    申请日:2019-10-23

    Abstract: Methods and systems involve obtaining information from one or more sources to determine a real-time context. A method includes determining a situational awareness score indicating a level of vigilance required based on the real-time context, obtaining images of eyes of a driver to detect a gaze pattern of the driver, determining a relevant attention score indicating a level of engagement of the driver in the real-time context based on a match between the gaze pattern of the driver and the real-time context, and obtaining images of the driver to detect behavior of the driver. A driver readiness score is determined and indicates a level of readiness of the driver to resume driving the vehicle based on the behavior of the driver. An off-road glance time is obtained based on using the situational awareness score, the relevant attention score, and the driver readiness score.

    DETECTION, CHARACTERIZATION, AND PRESENTATION OF CHARGING STATIONS FOR ELECTRIC VEHICLES

    公开(公告)号:US20220318859A1

    公开(公告)日:2022-10-06

    申请号:US17215576

    申请日:2021-03-29

    Abstract: A system includes a memory device, and one or more processors for detection, characterization, and presentation of charging stations for electric vehicles. The processors determine that a charging station is an undocumented charging station; a documented charging station is one that is part of a dataset of known charging stations. A confidence score is computed to indicate whether the charging station is a public charging station. In response to the confidence score being greater than a first predetermined threshold, the undocumented charging station is documented as a public charging station. In response to the confidence score being lesser than the first predetermined threshold and greater than a second predetermined threshold, the undocumented charging station is added to a list of charging stations to investigate. In response to the confidence score being lesser than the second predetermined threshold, the undocumented charging station is documented as a private charging station.

    CONTROL OF AUTONOMOUS VEHICLE BASED ON PRE-LEARNED PASSENGER AND ENVIRONMENT AWARE DRIVING STYLE PROFILE

    公开(公告)号:US20200225676A1

    公开(公告)日:2020-07-16

    申请号:US16248214

    申请日:2019-01-15

    Abstract: A method for controlling a vehicle includes collecting data about human driving styles; machine learning how the human driver reacts to different traffic scenarios based on the collected data to create a plurality of human driving styles profiles; selecting an optimal driving profile of the plurality of human driving styles profiles, wherein the optimal driving profile is selected based feedback provided by a passenger of the vehicle, the feedback is indicative of a pleasantness of each of the plurality of human driving styles profiles; creating a driving plan based on the optimal driving profile; commanding the vehicle to execute the driving plan in a controlled environment to test the pleasantness of the optimal driving profile; and receiving a pleasantness rating from the passenger of the vehicle while the vehicle executes the driving plan.

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