Abstract: Geometric and driving profiles are used to set the equipment of vehicles so that the vehicle is configured and performs in a manner that is familiar to a driver to increase the safety of operation of the vehicle by the driver. Geometric and driving profiles may be managed by a server. Geometric and driving profiles may be used across a fleet of vehicles.

Abstract: A charging station for an electric vehicle includes a handle attached to a cable for carrying a current from the charging station to the battery of the electric vehicle to charge the battery. While the charging station is not charging an electric vehicle, the handle is positioned in a socket of the charging station. The charging station includes a locking mechanism for locking the handle in the socket while performing testing. The electric vehicle includes a receiver into which the handle is inserted for charging the battery of the electric vehicle. The handle includes structures that cooperate with a locking mechanism of the vehicle to lock the handle in the receiver while the battery the vehicle is charged. The cable and handle may be cooled by a liquid medium.

Abstract: A charging station for an electric vehicle includes a handle attached to a cable for carrying a current from the charging station to the battery of the electric vehicle to charge the battery. While the charging station is not charging an electric vehicle, the handle is positioned in a socket of the charging station. The charging station includes a locking mechanism for locking the handle in the socket while performing testing. The electric vehicle includes a receiver into which the handle is inserted for charging the battery of the electric vehicle. The handle includes structures that cooperate with a locking mechanism of the vehicle to lock the handle in the receiver while the battery the vehicle is charged. The cable and handle may be cooled by a liquid medium.

Abstract: A fraud detection system is disclosed that detects potential fraudulent behavior associated a user account by identifying attributes of the user account that share attributes with one or more known fraudulent user accounts. The set of shared attributes for a user account are identified by constructing a bipartite graph comprising a set of user account nodes and a set of attribute nodes associated with the set of user account nodes. A match score for the user account is computed based on the set of shared attributes. Actions to be taken for the user account are identified based on the match score. The actions may include tagging the user account as potentially fraudulent. The actions can be used by a user (e.g., an administrator) of an organization to more intelligently determine appropriate measures to be taken for the potentially fraudulent user account.

Abstract: Geometric and driving profiles are used to set the equipment of vehicles so that the vehicle is configured and performs in a manner that is familiar to a driver to increase the safety of operation of the vehicle by the driver. Geometric and driving profiles may be managed by a server. Geometric and driving profiles may be used across a fleet of vehicles.

Abstract: A charging station for an electric vehicle includes a handle attached to a cable for carrying a current from the charging station to the battery of the electric vehicle to charge the battery. While the charging station is not charging an electric vehicle, the handle is positioned in a socket of the charging station. The charging station includes a locking mechanism for locking the handle in the socket while performing testing. The electric vehicle includes a receiver into which the handle is inserted for charging the battery of the electric vehicle. The handle includes structures that cooperate with a locking mechanism of the vehicle to lock the handle in the receiver while the battery the vehicle is charged. The cable and handle may be cooled by a liquid medium.

Abstract: A fraud detection system is disclosed that detects potential fraudulent behavior associated a user account by identifying attributes of the user account that share attributes with one or more known fraudulent user accounts. The set of shared attributes for a user account are identified by constructing a bipartite graph comprising a set of user account nodes and a set of attribute nodes associated with the set of user account nodes. A match score for the user account is computed based on the set of shared attributes. Actions to be taken for the user account are identified based on the match score. The actions may include tagging the user account as potentially fraudulent. The actions can be used by a user (e.g., an administrator) of an organization to more intelligently determine appropriate measures to be taken for the potentially fraudulent user account.