Iotecha Corp.

Adrian Weidmann

Oleg Logvinov

Kimberly Sarubbi

Disclosed herein are methods, devices, and systems for providing electric vehicle (EV) group charging events. According to one embodiment, an apparatus includes a plurality of electric vehicle (EV) chargers configured to be coupled with an energy source, and a computing device coupled with the plurality of EV chargers. In another embodiment, a method receiving a scheduling availability for the apparatus, receiving user data associated with a plurality of EV users, and determining a first EV user of the plurality of EV users to invite to an EV group charging event based on the user data, and transmitting an invitation for the EV group charging event to a user device associated with the first EV user.

Methods, devices, and system for group electric vehicle (EV) charging event

Devices are disclosed for home based electric vehicle (EV) charging. According to one embodiment, an EV charger includes a processor, a memory electrically coupled with the processor, EV charging circuitry electrically coupled with the processor, a network interface electrically coupled with the processor, and a broadcast transmitter electrically coupled with the processor.

Devices for home based electric vehicle (EV) charging

Methods, devices, and systems are disclosed for home based electric vehicle (EV) charging. According to one embodiment, a method is implemented on an EV charger for determining relative position of a mobile device to an EV charger in accordance with embodiments of the present disclosure. The method includes receiving known location data associated with a global position of the EV charger, wherein the known location data has an accuracy better than 10 centimeters, receiving first global navigation satellite system (GNSS) timestamped data associated with the EV charger from a first constellation of GNSS satellites, determining first GNSS location data based on the first GNSS timestamped data, and determining first GNSS error data based on the first GNSS location data and the known location data.

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Deephaven, MN, United States of America

Adrian Weidmann