A deployable electric vehicle charging point comprising a housing for burying substantially below ground level, a post and a power distribution connector mounted to the post; the post being mounted in the casing about a pivotal axis and movable about the pivotal axis between an in-operative position within the housing and operative position.

A deployable electric vehicle charging point comprising a housing for burying substantially below ground level, a post and a power distribution connector mounted to the post; the post being mounted in the casing about a pivotal axis and movable about the pivotal axis between an in-operative position within the housing and operative position.

Embodiments described herein relate to predicting the utilization of electric vehicle (EV) charge points. Methods may include: receiving an indication of a plurality of candidate locations for EV charge points; determining static map features of the plurality of candidate locations; inputting the plurality of candidate locations and static map features into a machine learning model, where the machine learning model is trained on existing EV charge point locations, existing EV charge point static map features, and existing EV charge point utilization; determining, based on the machine learning model, a predicted utilization of an EV charge point at the plurality of candidate locations; and generating a representation of a map including the plurality of candidate locations, where candidate locations of the plurality of candidate locations are visually distinguished based on a respective predicted utilization of an EV charge point at the candidate locations.

Embodiments described herein relate to predicting the utilization of electric vehicle (EV) charge points. Methods may include: receiving an indication of a plurality of candidate locations for EV charge points; determining static map features of the plurality of candidate locations; inputting the plurality of candidate locations and static map features into a machine learning model, where the machine learning model is trained on existing EV charge point locations, existing EV charge point static map features, and existing EV charge point utilization; determining, based on the machine learning model, a predicted utilization of an EV charge point at the plurality of candidate locations; and generating a representation of a map including the plurality of candidate locations, where candidate locations of the plurality of candidate locations are visually distinguished based on a respective predicted utilization of an EV charge point at the candidate locations.

A system and method for managing vehicle charging stations such that when at least two of a plurality of electric vehicle charging stations (also known as electric vehicle service equipment, or EVSE) occupied with vehicles awaiting a charge, the present system manages the charging of individual vehicles in cases where the aggregated demand for charging exceeds the capacity of the circuits supplying the plurality of EVSE. By cycling so that only a few of the vehicles are charging at a time, the demand on the circuits is kept below a predetermined limit. In cases where a load shedding event is in progress, the limit can be further reduced. In cases where the cost of electricity is varying dynamically, the system considers a driver's explicit charging requirements (if any) and preferences for opportunistic charging when the price of electricity is not too high.

A system and method for managing vehicle charging stations such that when at least two of a plurality of electric vehicle charging stations (also known as electric vehicle service equipment, or EVSE) occupied with vehicles awaiting a charge, the present system manages the charging of individual vehicles in cases where the aggregated demand for charging exceeds the capacity of the circuits supplying the plurality of EVSE. By cycling so that only a few of the vehicles are charging at a time, the demand on the circuits is kept below a predetermined limit. In cases where a load shedding event is in progress, the limit can be further reduced. In cases where the cost of electricity is varying dynamically, the system considers a driver's explicit charging requirements (if any) and preferences for opportunistic charging when the price of electricity is not too high.

A vehicle control apparatus includes a battery remaining-amount recognizing unit recognizing a remaining amount of a battery and a distance measurement control unit measuring a vehicle-terminal distance by switching, based on the remaining amount of the battery recognized by the battery remaining-amount recognizing unit, between a first distance measurement mode repeatedly measuring the vehicle-terminal distance by a distance measuring unit without depending on reception of measurement instruction information transmitted from a mobile terminal and a second distance measurement mode measuring the vehicle-terminal distance by the distance measuring unit in response to reception of the measurement instruction information transmitted from the mobile terminal when communication is established between the vehicle communication control unit and the mobile terminal.

A computer-implemented method for increasing safety during charging of a vehicle battery of a vehicle by a charging station, the method comprising the steps of calculating a forecast value for a maximum safe charging current by the controller of the vehicle based on sensor data generated by sensors of the vehicle and adjusting the charging current provided by the charging station in response to the forecast value of a maximum safe charging current.

The present disclosure generally relates to a recreational vehicle (RV) pedestal, system, network, and mobile software application. Pedestals may integrate power sources of different power levels for different vehicle load requirements. Pedestals may combine power, electronics, communications connections, and water sources in the same device. The pedestals may be networked so that users may access a mobile application to reserve, pay for, and review pedestals and the RV park.

The embodiments described and claimed herein are apparatus, systems, and methods for charging an electric vehicle at a stationary service station. In one embodiment, the service station includes a power generation component including at least one fuel cell, a fuel supply component for supplying fuel to the power generation component, a charging component including at least one customer charging station, and a control component for controlling and monitoring the other components and for providing accounting and billing functions.