An information presentation device includes a processor configured to (i) acquire vehicle information relating to a plurality of peripheral vehicles around an own vehicle, (ii) calculate an effect index representing an effect due to follow-up travel of traveling behind each of the plurality of peripheral vehicles based on the vehicle information for each of the plurality of peripheral vehicles, and (iii) cause an output device of the own vehicle to output position information and the effect index relating to at least a portion of the plurality of peripheral vehicles.

Disclosed are a vehicle, a server communicating with the vehicle, and a method for controlling the vehicle to communicate with the server and a second vehicle. The vehicle may include a communicator configured to communicate with the server and the second vehicle; a storage configured to store an application for a group driving mode with the second vehicle; and a controller configured to control the application when the group driving mode is selected and to exchange compensation for a service corresponding to the group driving mode with digital assets through the server.

An apparatus for controlling a vehicle includes a battery controller, a driving controller, and a notification device, wherein the battery controller may obtain state information of a battery, calculate remaining energy of the battery, and determine whether energy of the battery is excessively consumed, and the driving controller may obtain the remaining energy and route information, calculate a remaining driving distance, and determine a fuel efficiency deterioration section.

A method for fuel efficiency optimization by predictive driving, the method comprises: determining a current state of a vehicle and current state of an environment of the vehicle; estimating a future state of the vehicle and a future state of the environment of the vehicle; wherein a future state of each one of the vehicle and the environment is a state at a future point of time following a current point of time; evaluating, whether the vehicle has to change one or more vehicle progress parameters between the current point of time and the future point of time; selecting a future driving behavior out of multiple future driving behaviors, that will implement the change of the one or more vehicle progress parameters, wherein the selecting is based on a fuel consumption associated with the change of the one or more future driving parameters; and generating at least one of a selected future driving behavior suggestion, a selected future driving behavior alert, and a selected future driving behavior command.

The preceding vehicle selection device includes a processor configured to estimate a continuous running distance from a present time of a surrounding vehicle based on information relating to the surrounding vehicle for each of a plurality of surrounding vehicles, estimate a followable distance when the host vehicle follows the surrounding vehicle based on the continuous running distance from the present time of the surrounding vehicle for each of the plurality of surrounding vehicles, and select the preceding vehicle from among the plurality of surrounding vehicles based on the followable distance. The information relating to the surrounding vehicle includes at least one of an SOC or an amount of remaining fuel of the surrounding vehicle, and a continuous running time or a continuous running distance up to the present time of the surrounding vehicle.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors. The processors are configured to execute instructions stored in the memory to determine if a vehicle fuel level or battery power level is below a predetermined threshold. If the vehicle fuel level or battery power level is below the threshold, it is determined if at least one energy conservation measure has been pre-selected by a user. If at least one energy conservation measure has been pre-selected by a user, it is determined whether or not a user approves implementation of the at least one energy conservation measure. If a user approves implementation of the at least one energy conservation measure, the at least one energy conservation measure is implemented.

A method and device for evaluating truck platooning strategy based on fuel saving rate is provided, which is applied to the technical field of transportation engineering, the method comprising: S1: obtaining the truck platooning strategy, and judging whether the truck platooning strategy has been determined; S2: when the truck platooning strategy has been determined, obtaining fuel-consumption-related parameters of each truck in the truck queue, calculating the fuel saving rate of each truck in the truck queue based on the obtained s parameters, calculating the average fuel saving rate of whole truck queue based on the fuel saving rate of each truck, and evaluating the truck platooning strategy based on the average fuel saving rate. The present disclose can evaluate the fuel economy in the case of different truck types and different platooning strategies.

A vehicle assistive system includes a plurality of context information generating devices, each configured to output context information relating to a mobile vehicle, a processor, and a non-transitory computer-readable medium comprising instructions for performing acts. The acts include: generating one or more object representations based on corresponding context information; predicting one or more future states, each relating to a state of the object representation at a future time; eliminating the future states having a probability that does not meet a corresponding threshold; detecting a future event for one or more of the future states; providing one or more action items for each detected future event; performing one or more actions associated with the action items including an action selected from the group consisting of generating a notification using a notification device, and controlling the mobile vehicle using a control device.

A hybrid vehicle evaporation system may include a fuel tank having a fuel level sensor, a refuel button, and a controller. The controller may be programmed to disable HV charging in response to a selection of the refuel button, monitor a fuel level received from the fuel level sensor, and enable HV charging in response to the fuel level failing to increase for a predetermined amount of time.