A vehicle diagnosis system determines whether a vehicle has an abnormality in a temporal engine stop function or a power regeneration function that negates a greenhouse gas reduction effect of the engine. When the vehicle diagnosis system determines an abnormality, the vehicle diagnosis system provides a notification of the abnormality.

Electric vehicle predictive range estimating systems and methods are provided herein. An example method includes determining an initial state of charge (SOC) for an energy source of a vehicle at a first point in time; determining one or more boundary conditions for the vehicle during a time frame extending from the first point in time to a second point in time, the one or more boundary conditions causing a loss in the energy source during the time frame; determining a predicted future SOC for the energy source based on the one or more boundary conditions and the initial SOC; and predicting an availability of a vehicle operating condition based on the predicted future SOC for the energy source.

A range maximization system for a vehicle accounting for external factors may include a tire pressure sensor and a load carry sensor configured to detect information relevant to a load on the vehicle. A vehicle control unit may be configured to receive detected information from the tire pressure and load carry sensor, and configured to determine a) an expected range for the vehicle with the detected information relevant to the load and the detected tire pressure, b) a contribution of the detected information relevant to the load and the detected tire pressure to the vehicle range, and c) braking parameters, chassis parameters, and engine parameters that maximize vehicle range based on the load and tire pressure. The system may also include a display configured to display the contribution of the detected load and the detected tire pressure to the vehicle range.

Electric vehicle predictive range estimating systems and methods are provided herein. An example method includes determining an initial state of charge (SOC) for an energy source of a vehicle at a first point in time; determining one or more boundary conditions for the vehicle during a time frame extending from the first point in time to a second point in time, the one or more boundary conditions causing a loss in the energy source during the time frame; determining a predicted future SOC for the energy source based on the one or more boundary conditions and the initial SOC; and predicting an availability of a vehicle operating condition based on the predicted future SOC for the energy source.

A watercraft rental system is used to rent an owner's watercraft to a user. The watercraft rental system includes a computer and a user terminal. The computer communicates with the watercraft and records rental condition information of the watercraft. The user terminal provides borrowing request information to the computer. The borrowing request information corresponds to a response to the rental condition information. The computer executes a rental process of the watercraft based on the borrowing request information.

A driving range estimator system for a vehicle accounting for a load on the vehicle may include an energy storage device configured to power the vehicle. Sensors may be disposed about the vehicle and may be configured to detect information relevant to a range estimate. A towing control unit may be configured to receive the detected information from the sensors, and configured to determine a) an expected range for the vehicle with the load, and b) an expected range for the vehicle without the load. A display may be configured to simultaneously display a) the expected range for the vehicle with the load and b) the expected range for the vehicle without the load.

The disclosed computer-implemented method may include automated signaling for networked personal mobility vehicles (PMVs). In some embodiments, a system may identify a PMV in use by a transportation requestor taking a trip. The system may also predict one or more actions of the PMV based on navigational data for the trip. Additionally, the system may select one or more signals corresponding to a predicted action of the PMV. In some embodiments, the system may determine, based on a current state of the PMV, that the predicted action of the PMV will be initiated within a time frame. Furthermore, the system may send a start command to the PMV to initiate a signal in response to determining the predicted action will be initiated. Various other methods, systems, and computer-readable media are also disclosed.

A method of operating a personal mobility is provided. The method includes receiving, by a processor in the personal mobility, user identification information for a user authentication and transmitting the received user identification information to a server. A use approval message is received from the server when the user is a user registered in the server and the personal mobility is operated by the user according to the received use approval message.

A vehicle includes an onboard power source, a vehicle interface, and a controller. The controller, responsive to an external power application drawing power from the onboard power source, outputs a power source time to empty for display by the vehicle interface. The power source time to empty is derived from a location of the vehicle and a power drawn from the onboard power source by the external power application.

This information output device is provided with: a detecting unit for detecting a rotational speed of an engine mounted in a vehicle; a storage unit for storing historical information indicating the history of a state in which the rotational speed was less than the rotational speed of the engine when idling; a storage control unit for causing the storage unit to store the historical information; and an output unit for outputting the historical information being stored by the storage unit.