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.

The invention relates to a method for controlling an energy storage system (200) of a vehicle (201), the energy storage system comprising at least one battery pack (202). The method comprises the steps of: —obtaining route planning information relating to an expected travelling route of the vehicle, —determining at least one set operational mode of the energy storage system, —based on at least the obtained route planning information and the at least one set operational mode of the energy storage system, setting a control profile for controlling the energy storage system, —controlling the energy storage system according to the control profile.

A system and method for providing charging options based on electric vehicle operator daily activities that include analyzing data associated with daily activities of an operator of an electric vehicle and determining at least one travel routine and at least one prospective travel plan that is completed by the operator of the electric vehicle based on the daily activities. The system and method also include determining a current geo-location of the electric vehicle. The system and method further include presenting an electric vehicle charging planner user interface that presents at least one prospective travel path to the at least one predicted point of interest.

A charging station for an electric vehicle determines that a first person is in proximity to the charging station and identifies whether the first person is a user of the charging station. In accordance with a determination that the first person is a user of the charging station, the charging station provides, using a first mode for selecting content for users of the charging station, first content for display. The charging station determines that a second person is in proximity to the charging station and identifies whether the second person is a user of the charging station. In accordance with the determination that the second person is not a user of the charging station, the charging station provides, using a second mode for selecting content distinct from the first mode for selecting content, second content for display. The second mode provides content for non-users of the charging station.

Techniques for configuring electric vehicle supply equipment (EVSE) are disclosed. The disclosed embodiments configure one or more parameters of an EVSE according to a configuration file that corresponds to a location of the EVSE. The EVSE then charges an electric vehicle (EV) according to such configuration. The location can be obtained determined by onboard circuitry for determining a location of the EVSE or by wireless connectivity with a computing device in proximity to the EVSE. Configuration file(s) for the EVSE, along with information regarding locations to which those configuration file(s) correspond, may be located in a memory of the EVSE and/or provided to the EVSE over a network connection. Values for parameters (e.g., as recorded in the configuration files) may be adjusted by a user (e.g., using a user interface of the EVSE or of a user computing device).

A control system of a vehicle is provided. The control system includes a travelling plan database, stored with a future first travelling plan of a first vehicle and future second travelling plans of second vehicles, and disclosing the first and second travelling plans to a third party; a long distance communication unit; and a control unit. The control unit includes a matching component, querying the second vehicle that can be matched with the first vehicle to travel together on a specified road section with reference to travelling plans stored in the travelling plan database to compile a reservation table accordingly, and allowing a creator of the first travelling plan to perform platooning control on the specified road section according to the reservation table; and a pairing component, connecting the matched first vehicle and second vehicle through the long distance communication unit, so that the platooning control can be performed.

An information providing apparatus is configured to be used in a target vehicle and display power feeding facilities on a map, the target vehicle being configured such that a vehicle-mounted battery can be charged with DC power supplied from outside the target vehicle. The information providing apparatus is configured to display an electrical outlet-type AC stand on the map in a manner of being distinguished from a cable-equipped AC stand, when the target vehicle is a vehicle not including an AC charger and a prescribed first condition is satisfied. In contrast, the information providing apparatus is configured to display the electrical outlet-type AC stand and the cable-equipped AC stand on the map without distinguishing between the electrical outlet-type AC stand and the cable-equipped AC stand, when the target vehicle is a vehicle including the AC charger and a prescribed second condition is satisfied.

A system for heating a battery in a vehicle supplying driving power by a motor as a vehicle-driving source is provided. The system includes a big-data server configured to receive driving information of the vehicle and to determine an estimated driving start time of the vehicle and required output required at an initial driving stage of the vehicle based on the received driving information, and a controller, installed in the vehicle and configured to provide the driving information to the big-data server, to receive the estimated driving start time and the required output provided from the big-data server, and to derive a heating time of the battery, required to ensure the required output, based on the a temperature and an SoC of the battery installed in the vehicle.

Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.

The present disclosure provides a multi-stage method to extend the range of a vehicle. The method includes taking progressive actions on a vehicle as the state of charge (SOC) drops below defined levels. The method may include monitoring the SOC of the vehicle in relation to a SOC threshold or monitoring the SOC of the vehicle in relation to the distance remaining to a predetermined destination.