A method for operating an electric vehicle, in which an automatic unlocking function for a vehicle-side charging interface is activated if it is established on the basis of an ascertained position of the electric vehicle that the electric vehicle is arranged at a public charging column. The activated automatic unlocking function effectuates automatic unlocking of the charging interface as soon as a charging procedure of the electric vehicle is ended and thus a charging cable connected to the vehicle-side charging inter-face is released. The invention furthermore relates to a control device for an electric vehicle.

The present invention relates to a stopper-type charging device and a driving method thereof, wherein the stopper-type charging device includes an emergency bell unit that is provided on a main body part of a stopper for a vehicle installed on a floor of a parking lot and operates to prevent crime in a surveillance blind spot in the parking lot, a light emitting unit that guides a vehicle parked in the parking lot to be parked in a parking section for charging, and operates as a flash to illuminate a periphery of the vehicle, and a sensor unit that detects a fire by detecting a flame of the vehicle being charged.

The invention relates to a method for balancing an electrical energy storage module (1) comprising a plurality of units (3) for an electric vehicle (5). The energy storage module (1) is operative according to a first balancing target type. A present operating condition of the energy storage module is determined (S402), and a future operating condition of the energy storage module is determined (S404). Further, there is selected (S406) a second balancing target type among a plurality of predetermined balancing targets (204) based on the present operating condition and the future operating condition, each of the balancing targets being indicative of an energy storage unit characteristic to be balanced in order to achieve the balancing target type. There is further provided to switch (S408) from balancing the energy storage module according to the first balancing target type to balancing the energy storage module according to the second balancing target type.

To protect a charging station LS against improper use, a second identification feature ID2 is also checked in addition to a first identification feature ID 1. The charging process is only authorized or continued if the check of the second identification feature ID2 was also successful. The authentication or authorization is thus implemented in a low-threshold manner by means of an additional authentication, in which a weak identification is supplemented by one or more further automatic identifications, which can also be checked continuously. This means that an authorized and genuine user does not incur any additional expense, while at the same time any damage caused by behavior in breach of contract by authorized users can be greatly reduced. Related system and methods for protecting against unauthorized use are also disclosed.

The present invention relates to a stopper-type charging device and a driving method thereof, wherein the stopper-type charging device includes an emergency bell unit that is provided on a main body part of a stopper for a vehicle installed on a floor of a parking lot and operates to prevent crime in a surveillance blind spot in the parking lot, a light emitting unit that guides a vehicle parked in the parking lot to be parked in a parking section for charging, and operates as a flash to illuminate a periphery of the vehicle, and a sensor unit that detects a fire by detecting a flame of the vehicle being charged.

Methods and systems for monitoring and optimizing utilization of batteries for electric vehicles are described. Data of battery usage of electric vehicles are monitored using battery monitoring sensors at the electric vehicles for a plurality of users who share use of electric vehicles. Battery usage metrics are determined for the batteries of the electric vehicles based on the data of battery usage and determining user impact metrics based on measured quantities relating to driving of the electric vehicles for the plurality of users, the user impact metrics being indicative of degrees of driving severity placed on the vehicles associated with use habits of particular users. The battery usage metrics and the user impact metrics for the plurality of users are analyzed at a computer processing system to determine a particular user to assign to a particular electric vehicle in a given time period to counteract battery degradation of the battery in a particular electric vehicle, and a particular user is paired with the particular electric vehicle.

Methods and systems for monitoring and optimizing utilization of batteries for electric vehicles are described. Data of battery usage of electric vehicles are monitored using battery monitoring sensors at the electric vehicles for a plurality of users who share use of electric vehicles. Battery usage metrics are determined for the batteries of the electric vehicles based on the data of battery usage and determining user impact metrics based on measured quantities relating to driving of the electric vehicles for the plurality of users, the user impact metrics being indicative of degrees of driving severity placed on the vehicles associated with use habits of particular users. The battery usage metrics and the user impact metrics for the plurality of users are analyzed at a computer processing system to determine a particular user to assign to a particular electric vehicle in a given time period to counteract battery degradation of the battery in a particular electric vehicle, and a particular user is paired with the particular electric vehicle.

Systems, methods, and non-transitory computer-readable media can determine a trajectory for a vehicle, the trajectory associated with a predicted path to be traveled by the vehicle. A power optimization plan is generated for the vehicle based on the trajectory. One or more power management settings are modified based on the power optimization plan.

Presented are adaptive propulsion assist systems and control logic for manually-powered vehicles, methods for making/using such systems, and intelligent electric scooters with distributed sensing and control-loop feedback for adaptive e-assist operations. A method for regulating a propulsion assist system of a manually-powered vehicle includes a vehicle controller detecting a user contacting the vehicle's handlebar, responsively receiving sensor signals indicative of a user-applied force to the handlebar, and then determining a net user-applied force based on the handlebar force and user-generated forces applied to the scooter deck. The vehicle controller also receives sensor signals indicative of the vehicle's current acceleration, and determines therefrom a pitch angle of the surface on which the vehicle moves. Responsive to the net force being greater than zero and the pitch angle being greater than a calibrated threshold angle, the controller commands the traction motor to increase motor torque output by a calibrated force gain increment.

Electrical charging station that includes the following: A first socket to deliver electrical power to an electric vehicle. A casing to be fastened to the ground or to a wall. A holder in which the first socket is fastened or integrated. The holder is movable with respect to the casing between a protected position and an exposed position, in which positions access to the first socket, from outside the casing, is prevented and permitted. Structure to drive the holder between the protected and exposed positions. A control module for controlling the driving structure. The casing includes an aperture that is blocked in the protected position and that defines an access to the first socket in the exposed position. The holder is movable in the casing between the protected and exposed positions. The holder is arranged so as to block the aperture in the exposed position.