There is provided an information processing apparatus including a travelable information display unit that displays before a discharge, regarding motor-driven movable bodies of a discharge source and a discharge destination driven by using electric power of batteries, information about places to which the motor-driven movable body of the discharge source can move using electric power of the battery left after the discharge by assuming, when information about a discharge amount discharged from the battery of the motor-driven movable body of the discharge source toward the motor-driven movable body of the discharge destination that receives power supply is input, a case in which the discharge amount is discharged from the battery.

A system includes a phase break input unit, one or more vehicle location detectors, and one or more processors. The phase break input unit is configured to obtain phase break location information indicating a location of a phase break along a route to be traversed by a vehicle. The one or more vehicle location detectors are configured to obtain vehicle location information indicating at least one of location of the vehicle or movement of the vehicle. The one or more processors are configured to determine an estimated arrival time of the vehicle at the phase break using the phase brake location information and the vehicle location information, and send a phase break control signal to a control system of the vehicle responsive to the estimated arrival time satisfying a threshold.

The present subject matter relates generally to a driver assistance system and method for a vehicle. The driver assistance system includes a vehicle having a plurality of sensors, a telematics unit to communicate vehicle level data to the surroundings of the vehicle, a display device to display the vehicle level data, a server, and a smart device. The smart device communicates with the server on a first network and with the display device on a second network. The vehicle, the server, and the smart device communicates through each other via communication network. The invention is based on smart device interface with different communication devices to provide the user with real time vehicle, environmental data, and user related data.

In one aspect, computer-implemented method may include receiving, from a cloud-based computing system, one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack of a vehicle. The method may include loading, into memory of a processing device at the vehicle, the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack.

A server apparatus includes a communication interface and a controller configured to communicate using the communication interface. The controller is configured to receive, from a vehicle driven by electricity from a battery, operation information on operation of the vehicle, transmit, to the vehicle or a charging/discharging apparatus, information on a charging/discharging plan for charging the battery with predetermined electricity purchased by a community, the charging/discharging plan including a charging/discharging timing for the vehicle and a charging/discharging location within the community based on the operation information, and control the vehicle or the charging/discharging apparatus to execute the charging/discharging plan.

A power management system includes a vehicle and a charging or discharging lane. The charging or discharging lane configured to execute at least one of charging or discharging of the vehicle in a non-contact manner. The vehicle is configured to acquire contract contents including a charging or discharging amount and a charging or discharging period. The vehicle is configured to execute the contract contents in a charging or discharging lane that is different from electric vehicle supply equipment set in the contract contents and is reachable before the charging or discharging period when the vehicle is predicted to, before a start of the charging or discharging period, be unable to execute the contract contents in the set electric vehicle supply equipment.

A system and method for locking a charging port to charge an electric vehicle that includes determining that the electric vehicle is located within a predetermined distance of a charging station and determining that the charging station issues parking citations associated with parking of the electric vehicle at the charging station without attachment of the charging port to the electric vehicle. The system and method also include determining charging of the electric vehicle and sending a command to enable a locking mechanism of the charging port to lock the charging port in place. The system and method further include completing user authentication with respect to an operator of the electric vehicle to disable the locking mechanism to ensure that the charging port is not detached by an unauthorized individual and that parking citations are not issued based on the parking of the electric vehicle at the charging station.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

An integrated fuel management system can include a switching unit coupled to an electric vehicle (EV) charging station, a computer system, a first electronic unit, and a second electronic unit. The first electronic unit can be coupled to the switching unit and operable for providing state information for the EV charging station to the computer system. The second electronic unit can be coupled to a fueling station for types of vehicles that use fuel and operable for providing state information for the fueling station to the computer system. Further, the computer system can be operable for displaying the state information for the EV charging station and for displaying the state information for the fueling station.

To navigate an electric vehicle from a starting location to a destination, a system identifies multiple charging stations between the starting location and the destination and determining a navigation route that requires a least amount of time for the electric vehicle to travel from the starting location to the destination via one or more of the charging stations, including determining a non-linear relationship between an amount of time and an amount of charge the EV receives during the amount of time.