A navigation apparatus includes a remaining charge amount detector, a guidance plan calculator, and a reservation data obtainer. The remaining charge amount detector is configured to detect a remaining charge amount of a storage battery of a vehicle. The guidance plan calculator is configured to calculate a guidance route along which a charging facility is set as a stopover point and a charge amount to be charged at the charging facility. The reservation data obtainer is configured to acquire data on a reservation of the charging facility positioned at a destination. The guidance plan calculator is configured to calculate the guidance route and the charge amount, by changing, based on data on the reservation, the remaining charge amount to be maintained at the time when the vehicle arrives at the destination.

A method and system for providing electric vehicle drive range optimization. Various vehicle data is collected from various sources and analyzed to derive vehicle parameters related to estimating a driving range of an electric vehicle, such as battery state of charge, an energy consumption rate, an efficiency factor, historical driving patterns, climate control usage, auxiliary accessory usage, etc. The vehicle parameters are analyzed to determine a vehicle driving state adjustment that changes a vehicle parameter that causes the estimated driving range to increase. Some example vehicle drive state adjustments may correspond to adjusting vehicle speed, adjusting a throttle map, reducing the auxiliary electrical load, and/or other adjustments to lower the energy consumption rate and/or increase one or more efficiency factors to extend the estimated driving range. The vehicle driving state adjustment may be implemented automatically or manually based on a determined implementation method.

In method and system for navigation support of an electric vehicle towing a trailer, the method for navigation support of an electric vehicle (EV) towing a trailer includes specifying, by a navigation system of the EV, a destination of the EV for a planned trip with the EV via a navigation system of the EV; detecting, by a trailer detection device of the EV, that a trailer is connected to the EV; assessing, by the navigation system, charging stations along potential routes for the specified destination that are suitable for recharging the EV in a state that the trailer is connected to the EV; and at least one of: indicating the suitable charging stations via the navigation system; and determining candidate routes for the planned trip by the navigation system based on the specified destination and the suitable charging stations.

Method for assisting in the management of the electric energy of an electric or hybrid vehicle, comprising the steps of: providing a graph including a plurality of nodes belonging to one or more branches of the graph; iteratively performing the following steps: acquiring current geographical geolocation coordinates of the vehicle; identifying, on the graph, a node geographically closer to said current geographical coordinates; identifying, based on said node closer to the current geographical coordinates, which branch of the graph the vehicle is travelling; acquiring the energy consumption information associated with the branch that the vehicle is travelling; checking whether a current electrical charge of the batteries of the vehicle allows the vehicle to reach the respective arrival charging station of the branch the vehicle is travelling; and generating a feedback signal as a function of said check.

An information processing apparatus includes a controller that creates an electrical energy consumption map, for an autonomous vehicle, indicating electrical energy consumption of links in an operation route defined by an operation plan, calculates, based on the map, a first predicted value of total electrical energy consumption required for traveling the operation route, and compares the total electrical energy consumption indicated by the first predicted value with a SOC prior to operation of the vehicle, and when the SOC prior to operation does not satisfy the total electrical energy consumption, extracts links satisfying a predetermined condition as candidate links for switching to a manual driving section from among links designated as an autonomous driving section and changes the operation plan so that the SOC prior to operation satisfies the total electrical energy consumption by switching at least one of the extracted candidate links to the manual driving section.

A computer system has processing circuitry to indicate a charging status of a battery of a vehicle to one or more candidate operators of the vehicle. The battery is adapted to be charged connected to a charging unit. The processing circuitry is configured to obtain a charging status of the battery of the vehicle. The processing circuitry is configured to determine, based on the charging status, whether the charging status is sufficient for the vehicle to perform the one or more preset operations. The processing circuitry is configured to, upon determining that the charging status is sufficient for the vehicle to perform the one or more preset operations, issue a signal to one or more receiving units, each receiving unit being associated with one candidate operator of the one or more candidate operators.

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.

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.

An information processing method includes: acquiring a weight of an electric mobile body; acquiring an amount of power consumption of the mobile body for each of numbers of one or more batteries mounted on the mobile body, the amount of power consumption being calculated based on the number of batteries; calculating a degradation cost of batteries for each of the numbers of the one or more batteries, the degradation cost being calculated based on the amount of power consumption and on the number of batteries; calculating a charging cost for each of the numbers of the one or more batteries, the charging cost being calculated based on the weight; and determining a number of batteries to be actually mounted on the mobile body, in accordance with the degradation cost and the charging cost, and outputting the number of batteries to be mounted.

A method for finding a charging station for electric motor vehicles using at least one drone that has a monitoring device, includes the following steps: generating control signals for controlling the drone such that, when controlling the drone based on the generated control signals, the drone monitors an environment of an electric motor vehicle using its monitoring device and outputs monitoring data based on the monitoring; outputting the generated control signals to control the at least one drone based on the generated control signals; after outputting the generated control signals, receiving the monitoring data from the at least one drone; analysing the monitoring data to find a charging station for electric vehicles; and outputting an analysis result of the analysis of the monitoring data. The application also relates to an apparatus, a system for finding a charging station for electric motor vehicles, a computer programme, and a machine-readable storage medium.