A system for cost-effective charge planning for a battery of a vehicle includes a battery having a SOC corresponding to an amount of energy stored by the battery. The system also includes an internal electric vehicle charger capable of receiving energy from a charging station and transferring the energy to the battery to increase the SOC. The system includes an electronic control unit (ECU) that can predict a route set including a first destination and a second destination and an amount of time spent at each. The ECU can determine charge planning data including an amount of energy required to reach the first and second destinations and a cost of energy at the first and second destinations. The ECU can determine how much to charge the battery at the first destination and at the second destination based on the predicted route set and the determined charge planning data.

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.

A system (700) and method (720) for enabling a vehicle (710) utilizing electrical propulsion to selectively commence a re-charging session based on one or more variables determined by an assigning authority (1105 that is connected to the vehicle through a mobile network (1110) is disclosed herein. The system (1100) comprises an assigning authority engine (1105), a mobile device (110) for an electric vehicle (1000), and a charging station (715).

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.

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.

A battery monitoring system includes a vehicle processor storing battery data and a user device communicatively coupled with the vehicle processor. The user device includes data processing hardware that stores a weather application, a navigation application, and a battery monitoring application. The battery monitoring application is configured to receive the battery data from the vehicle processor and weather data from the weather application. The battery monitoring application is also configured to present a user with battery efficiency options based on the battery data and the weather data.

Electric motors in a towable habitat are controlled through a combination of electronic control systems/controller, sensors, and power management protocols. The control mechanisms are designed to manage the power supplied to the electric motors thereby controlling torque delivered to each wheel and control wheel speed while ensuring efficient and safe operation.

A system for powering an electric vehicle includes at least one electrochemical battery, at least one supercapacitor battery, a first relay disposed on a first electrical path between the at least one electrochemical battery and the electric vehicle, the first relay to connect or disconnect the at least one electrochemical battery to or from the electric vehicle, and a second relay disposed on a second electrical path between the at least one supercapacitor battery and the electric vehicle, the second relay to connect or disconnect the at least one supercapacitor battery to or from the electric vehicle. The system also includes a processor communicatively coupled to first and second relays, wherein the processor, responsive to a first condition, disconnects the at least one electrochemical battery from the electric vehicle via the first relay and connects the at least one supercapacitor battery to the electric vehicle via the second relay.

A method of determining when to increase an amount electrical energy available to a vehicle includes setting a parameter for a function describing a reference state of charge as a function of distance traveled, wherein the reference state of charge represents a state of charge of the vehicle at which the amount of electrical energy available to the vehicle should be increased. For each trip of the vehicle, the parameter for the function is modified so that different trips of a same vehicle use different functions for the reference state of charge.

Various disclosed embodiments include illustrative control units, systems, and vehicles. In an illustrative embodiment, a control unit includes a processor and computer-readable media that stores computer-executable instructions configured to cause the processor to determine a reserve level for a battery of an electric vehicle, determine activation status of electrical equipment in the electric vehicle responsive the reserve level and a battery level, and control supply of power from the battery to the electrical equipment responsive to the activation status.