The invention is directed systems, methods, and devices for a modular charging station configured to be expanded or retracted to accommodate and charge a variable number of light electric personal mobility vehicles, and in particular electric two-wheeled, self-balancing, non-tandem light electric personal mobility vehicles. Additional embodiments include a novel vehicle adaptor configured to be coupled to a light electric personal mobility vehicle that is further in electrical communication with the vehicle's battery therewith, that can further be coupled with a receiving dock on a modular charging station that is configured to communicate with, and electrically charge the vehicle's battery from a power supply.

The time and effort of the user when exchanging batteries can be minimized, and security can be sufficiently ensured in user authentication. A battery exchanger (3) is provided with a camera (11) for capturing an image of a visitor, and a management server (4) performs face verification to determine if the visitor is an authentic user according to face image information of the visitor acquired from the image captured by the camera. Based on the face verification result, the management server determines if battery exchange is permitted, and notifies the determination result to the battery exchanger. Further, based on identification information of the battery pack brought in by the visitor, the management server performs battery verification to determine if the battery pack brought in by the visitor is permitted to be exchanged, and based on the result of the battery verification, determines if the battery exchange should be permitted.

A charging assistance system includes a processor configured to execute a generation process of generating charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of a future traveling schedule of the vehicle; and a charging condition at each predicted stop place based on the traveling schedule.

An electric charge management device for a vehicle includes a display screen and circuitry. The circuitry sets a first threshold value for a first discharge level of a battery of the vehicle. The first discharge level is greater than a zero state of charge (SOC) of the battery. The circuitry sets a second threshold value for a second discharge level of the battery based on first information associated with the vehicle and/or a user of the vehicle. The circuitry determines a first energy cost for an energy amount between the second discharge level and a current SOC of the battery. The circuitry controls the vehicle to transfer the energy amount to an external electric power system, which is different from the electric charge management device, based on the determined first energy cost.

A method of prompting an operator of an electric vehicle for pre-conditioning the electric vehicle comprises monitoring a location of the electric vehicle, monitoring the temperature of an electric propulsion system within the electric vehicle, accessing historical data of driving patterns for the electric vehicle, monitoring the location of the operator of the electric vehicle, identifying a condition that indicates imminent usage of the electric vehicle based on the location of the vehicle, the location of the operator of the electric vehicle, and the historical data of driving patterns for the electric vehicle, comparing the temperature of the electric propulsion system of the electric vehicle to a pre-determined preferred operating temperature, and sending a prompt to the operator of the electric vehicle suggesting that pre-conditioning of the electric vehicle may be appropriate.

Systems and methods for voice-activated electric vehicle (EV) service provisioning are disclosed, wherein a user of an EV may speak a voice command corresponding to an action to be executed by an electric vehicle supply equipment (EVSE) of an electric vehicle service provisioning system (EVSPS) to charge the EV (or perform some other action). This voice command may be presented to an EVSE or an EVSE remote panel of the EVSPS. Systems and methods for training the EVSPS to recognize and act on such voice commands received via an EVSE or an EVSE remote panel are disclosed. Such voice commands may be associated with a user, a payment method, an environment of the EVSE or EVSE remote panel, etc. The EVSPS can use these trained voice commands with a plurality of EVSPS devices such that there is no need to repeat the training process with other devices of the EVSPS.

A method is provided, which includes receiving, at a server, a request from a device to find one or more charge units for charging an electric vehicle at a geographic location. The method includes accessing, by the server, a first database to identify charge units that are associated with the geographic location. The method includes accessing, by the server, a second database to identify discounts available at the charge units identified to be associated with the geographic location. One of the identified discounts on one of the charge units is provided by a first merchant having a business location proximate to the one of the charge units. The method includes sending, by the server, data to the device that identifies one or more of the charge units that are associated with the geographic location, the data further including information regarding one or more discounts identified to be available at one or more of the identified charge units.

A system preconditions a battery pack of a vehicle to support fast charging. The system detects a trigger that that indicates the vehicle will be traveling or the battery pack of the vehicle has been reduced to a predetermined capacity. The system collects a plurality of samples of location data of the vehicle. The system predicts a destination of the vehicle based on the samples. The system determines a propensity of a user to charge the vehicle based on previous charging behavior of the user. The system determines a confidence score of the predicted destination and the determined propensity. The system determines whether to schedule preconditioning of the battery pack based on the confidence score meeting a threshold.

An information processing system includes: a first acquisition unit that acquires battery information on a battery of each of one or more vehicles; a second acquisition unit that acquires supply source information on a state of a power supply source; a selection unit that selects a vehicle for providing electric power for the power supply source as a power source out of the one or more vehicles, based on the supply source information and the battery information; and a request unit that requests the vehicle selected as the power source to provide the electric power.

The present disclosure describes a system for determining an optimal gear ratio for a light electric vehicle. The optimal gear ratio may be based on an anticipated or current route of an individual riding the light electric vehicle, riding habits of the individual and/or on maintenance status information associated with the light electric vehicle. When the optimal gear ratio is determined, the system provides an indication of the optimal gear ratio to the light electric vehicle.