An operating mode control device includes a travel driving force information acquisition unit configured to acquire a time-series travel driving force when traveling on a travel route; a vehicle speed information acquisition unit configured to acquire a time-series vehicle speed when traveling on the travel route; a motor operation estimation unit configured to estimate a time-series torque and rotation speed of the motor on the basis of a time-series travel driving force and vehicle speed; an efficiency calculation unit configured to acquire a time-series efficiency value of each operating mode on the basis of the time-series torque and rotation speed and calculate a total efficiency value; an operating mode determination unit configured to determine the operating mode having the highest total efficiency value as a default operating mode; and an operation control unit configured to control an operation by the default operating mode.

A setting device including a processor is provided. The processor is configured to, when occurrence of a secondary disaster is predicted after occurrence of a disaster, set a region in which the secondary disaster is predicted to a charging-prohibited zone in which use of a charging facility for charging a battery installed in a vehicle is prohibited.

A battery management system includes one or more processors, a battery comprising a plurality of cells, an output device, an input device, and a memory having an input module, a battery characteristic prediction module, and an output module. The input module includes instructions that cause the one or more processors to receive a mode selection from a user via the input device. The battery characteristic prediction module includes instructions that cause the one or more processors to predict a characteristic of the battery based on the mode selection using an active machine learning model to predict the characteristic of the battery. The output module includes instructions that cause the one or more processors to output an estimated cost to the output device based on the characteristic of the battery determined by the active machine learning model.

A vehicle with a hybrid drivetrain including a fuel-fed engine coupled to a first drive axle, an electric motor coupled to a second drive axle and an APU for providing electrical power at stopover locations, and further including a controller for determining a location of the vehicle, a location of a stopover location, determining a target SOC of a battery for operating the APU at the stopover location and operating a hybrid control system to provide the target SOC for the vehicle at the stopover location.

An influence degree display device includes an acquirer configured to acquire information regarding magnitude of an influence factor that has an influence on progress of deterioration of a secondary cell that stores power used to drive an electric motor vehicle a display configured to display an image and a display controller configured to cause the display to display an image indicating the degree of influence on the progress of the deterioration of the secondary cell in accordance with the acquired magnitude of the influence factor.

An example operation includes one or more of establishing communication between a transport and a location via a module including a battery, determining an energy amount in the transport and an energy requirement at the location, and initiating a transfer of a portion of the energy amount from the transport to the battery based on an intended use of the portion at one or more devices at the location.

A diagnostic system for a vehicle includes a vehicle system configured to operate the vehicle in a normal operating mode and a boosted mode. In the boosted mode, the vehicle system increases at least one of a maximum motor torque, a maximum engine torque, and a maximum battery power available to the vehicle. A wear estimation module is configured to collect wear data associated with a component of the vehicle while being operated in the boosted mode, estimate, based on the collected wear data, wear of the component caused by being operated in the boosted mode, and generate a prediction of a remaining lifetime of the component based on the estimated wear of the component.

A presentation device includes an acquirer configured to acquire a usage status of a secondary battery which is the usage status of a secondary battery with which a plurality of vehicles including a target vehicle are equipped and includes one or more items, a deriver configured to derive representative values of items of the secondary battery in a vehicle in a predetermined area, and a presenter configured to present a relationship of items of the usage status of a secondary battery with which the target vehicle is equipped with respect to the representative values derived by the deriver.

A selection apparatus includes an acquirer configured to acquire information of a usage state of at least one reuse component before being reused and a purpose of use of the at least one reused component; and a selector configured to select a reused component suitable for the purpose of use based on the usage state.

An example operation includes one or more of determining an estimated arrival time of a first transport to a charging station, determining an estimated remaining stored transport energy at the estimated arrival time of the first transport, notifying the first transport to provide a portion of the determined remaining stored transport energy and when a next transport is delayed to the charging station, notifying the first transport to provide an additional portion of the determined remaining stored transport energy based on the delay.