Abstract: It is an object to provide an electric vehicle charging monitoring device and an electric vehicle charging monitoring method. According to an embodiment, a device comprises: a current measurement device configured to measure an electrical current flowing from an electrical input to an electrical output and a computing device electrically coupled to the current measurement device, configured to: monitor a number of charging sessions based on the electrical current flow from the electrical input to the electrical output; compare the number of charging sessions to a first preconfigured value; and detect abnormal current flow based on the charging session comparison. A device, a method, and a computer program product are provided.

Abstract: Various example embodiments relate to determining an online/offline status of an electric vehicle charging station. The charging station may be determined to be online for a period of time after reception of a message from the charging station. Further, probability (100) of the charging station for being online may be determined, and one or more actions may be initiated in response to the online probability decreasing below a predetermined threshold. A computing device (200,300), a method, a system and a computer program (306) are disclosed.

Abstract: Various example embodiments relate to managing charging stations of electric vehicles based on a proximity of a user. A beacon transmitter is configured to broadcast identifiers of a charging station and of a list of allowed users. A mobile device of the user is configured to detect a proximity of the beacon transmitter and determine if the charging station can be set for charging based on an identifier of the user, the identifier of the charging station and the identifier of the user list. Apparatuses, methods, and computer programs are disclosed.

Abstract: Various example embodiments generally relate to charging electric devices. There is determined a charging of an electronic delivery vehicle, EDV, configured to deliver a delivery. A delivery route of the delivery configured for the EDV is received. A delivery rule of the delivery is also received. A battery state of the EDV may also be received. Data information of available energy at charging stations may additionally be received. Based on the delivery route, the delivery rule, the battery state and the data information of the available energy, a plan is processed as to when and where to charge the EDV for the delivery. This solution may enable the delivery to be delivered in an optimal way with respect to the electric vehicle, what is being delivered and with respect to the available energy at the charging station. Apparatuses, methods, and computer programs are disclosed.

Abstract: Various example embodiments relate to identifying an electric vehicle charging station. An authentication method applicable with any electric vehicle charging station may be provided. In an embodiment, an alert or quarantine of an electric vehicle charging may be triggered based on invalid authentication. Advantageously, improved security may be provided for communication in a charging management system. A computing device, a method and a computer program are disclosed.

Abstract: Various example embodiments relate to managing charging stations of electric vehicles based on a proximity of a user. A beacon transmitter is configured to broadcast identifiers of a charging station and of a list of allowed users. A mobile device of the user is configured to detect a proximity of the beacon transmitter and determine if the charging station can be set for charging based on an identifier of the user, the identifier of the charging station and the identifier of the user list. Apparatuses, methods, and computer programs are disclosed.

Abstract: Various example embodiments relate to identifying an electric vehicle charging station. An authentication method applicable with any electric vehicle charging station may be provided. In an embodiment, an alert or quarantine of an electric vehicle charging may be triggered based on invalid authentication. Advantageously, improved security may be provided for communication in a charging management system. A computing device, a method and a computer program are disclosed.

Abstract: According to an aspect, there is provided a computing device. The computing device is configured to store user-specific data comprising information configured to set an automatic charging mode to at least one electric vehicle charging station determined by the user in a memory, the information comprising geographical coordinates of the at least one electric vehicle charging station; track geographical coordinates of the user based on geographical information received from a device of the user; detect when the user is within a predetermined distance from the at least one electric vehicle charging station by comparing the geographical coordinates of the user and the geographical coordinates of the at least one electric vehicle charging station; notify the user that a charging mode will be set to the at least one electric vehicle charging station; and send an authorized start-command to the at least one electric vehicle charging station to set the charging mode for the user.

Abstract: Various example embodiments generally relate to charging electric devices. An apparatus (200) may receive a payment authorization message, which may be associated with a payment terminal (110). The apparatus (200) may determine a charging station group associated with the payment terminal (110). The apparatus (200) may further receive a status notification comprising an indication of a charging connector (142) of the charging station group being occupied. The apparatus (200) may send a charging command to cause initiation of charging via the charging connector (142), in response to receiving the payment authorization message and the status notification. Example embodiments enable payments to be linked with charging connectors (142) without associated user input at the payment terminal (110). Apparatuses, methods, and computer programs are disclosed.

Abstract: Provided is a technique for monitoring energy consumption in an electric vehicle (EV) charging network. The technique is based on using messages from one or more EV charging stations, each of which comprises a timestamp, a station ID, a charging session ID, and an energy meter reading. Whenever a new message is received, it is first stored in a database, whereupon it is checked whether the database comprises an older message with the same station ID and charging session ID as the new message. If the older message is present in the database, a time difference and an energy difference between the new and older messages are calculated. Then, a time granularity level is selected based on the time difference. An energy consumption distribution between the timestamps of the new and older messages is obtained based on the time granularity level and the energy difference.

Abstract: It is an object to provide a charging station reliability assessment device and a charging station reliability assessment method. According to an embodiment, a method comprises obtaining a history information of an electric vehicle, EV, charging station. A first and a second reliability index may be calculated based on the history information. Based on the first and the second reliability index, a third reliability index may be calculated. A method, a device, and a computer program product are provided.

Abstract: A method, apparatus, and computer program product for the control of electric vehicle (EV) charging enabling non-real-time remote monitoring and adjustments of electrical current consumed at EV charging stations, without causing an electrical grid to be. At least one EV charging station is first pre-instructed to provide an EV with a station current when a charging session for the EV is initiated at the EV charging station. The station current is ?a maximum allowable current of the EV charging station. After the initiation of charging, an actual current consumed during the charging is monitored remotely in non-real time. Next, a ratio of the actual current consumed by the EV to the charging station is calculated and used to decide whether to change the current provided by the EV charging station. After that, EV charging station is instructed, on a non-real-time basis, to operate in accordance with the decision made.

Abstract: It is an object to provide an electric vehicle charging station monitoring device and method. According to an embodiment, a method comprises: obtaining a training data set from an electric vehicle, EV, charging network comprising; training a machine learning model with the training data set; obtaining an input data set from the EV charging network; inputting the input data set into the trained machine learning model; obtaining an output data set from the trained machine learning model; and identifying a malfunction of at least one EV charging station based on the output data set. A device, a method, and a computer program product are provided.

Abstract: It is an object to provide an electric vehicle charging monitoring device and an electric vehicle charging monitoring method. According to an embodiment, a device comprises: a current measurement device configured to measure an electrical current flowing from an electrical input to an electrical output and a computing device electrically coupled to the current measurement device, configured to: monitor a number of charging sessions based on the electrical current flow from the electrical input to the electrical output; compare the number of charging sessions to a first preconfigured value; and detect abnormal current flow based on the charging session comparison. A device, a method, and a computer program product are provided.

Abstract: The present disclosure relates generally to electric vehicles, and more specifically to methods, apparatuses, and computer program products for requesting user authorization for electric vehicle charging sessions and responding to the requested user authorization. The methods, apparatuses, and computer program products described herein allow a user of an EV to use his/her single already- existing physical electronic key in order for him/her to be authorized for EV charging sessions at EV charging stations of different charging service providers. By so doing, it is possible to avoid the need to produce and mail new physical electronic keys each intended to be used at the EV charging stations of a different charging service provider, thereby significantly reducing the time of the user authorization.

Abstract: According to an aspect, there is provided a computing device. The computing device is configured to store user-specific data comprising information configured to set an automatic charging mode to at least one electric vehicle charging station determined by the user in a memory, the information comprising geographical coordinates of the at least one electric vehicle charging station; track geographical coordinates of the user based on geographical information received from a device of the user; detect when the user is within a predetermined distance from the at least one electric vehicle charging station by comparing the geographical coordinates of the user and the geographical coordinates of the at least one electric vehicle charging station; notify the user that a charging mode will be set to the at least one electric vehicle charging station; and send an authorized start-command to the at least one electric vehicle charging station to set the charging mode for the user.

Abstract: The present disclosure relates generally to electric vehicles, and more specifically, to a method, apparatus, and computer program product for monitoring energy consumption in an electric vehicle (EV) charging network. The method, apparatus, and computer program product allow obtaining a more accurate energy consumption distribution in time at each of EV charging stations of interest. The energy consumption distributions may then be used to calculate the total average energy consumed by the electric vehicles at the EV charging stations of interest at a certain time.

Abstract: According to an aspect, there is provided a computer device configured to control charging currents of at least a first charging station of an electric vehicle and at least a second charging station of an electric vehicle by internet based communications, wherein the charging stations are from different manufacturers, and wherein the charging stations are wirelessly coupled to the computer device.

Abstract: A computer device configured to monitor control signals from more than one adjustment system indicating a need to adjust operation of at least one energy storage; convert the control signals into current values; compare the control signals and select the one with the smallest current value; and control operation of at least one control device configured to regulate the current of the energy storage based on the selection by dispatching an adjustment signal by internet based communication.

Abstract: According to an aspect, there is provided a computer device configured to control charging currents of at least a first charging station of an electric vehicle and at least a second charging station of an electric vehicle by internet based communications, wherein the charging stations are from different manufacturers, and wherein the charging stations are wirelessly coupled to the computer device.