A hybrid vehicle includes: a driving power source including an engine and an electric motor; a battery that supplies electric power to the electric motor; and a controller that controls the engine and the electric motor according to a temperature of the battery. When a predetermined EV mode condition is satisfied, and a normal-temperature condition in which the temperature of the battery is a threshold or more is satisfied, the controller controls the driving power source in an EV mode in which the electric motor is driven. When the EV mode condition is satisfied, and a low-temperature condition in which the temperature of the battery is less than the threshold is satisfied, the controller operates the electric motor in a state where electric current flows between the battery and the electric motor drives the engine such that the engine generates traveling power transmitted to a driving wheel.

A driving assistance method for assisting a power-intensive driving maneuver of a subject vehicle includes predicting the power-intensive driving maneuver of the subject vehicle, and determining whether driving maneuver criteria, which comprise at least one energy criterion and at least one traffic criterion, are satisfied for the predicted power-intensive driving maneuver. Determining if the at least one energy criterion is satisfied includes determining a peak power profile required for a full execution of the predicted power-intensive driving maneuver, determining an available drive power of the subject vehicle, and evaluating whether the available drive power is sufficient for the peak power profile, wherein the at least one energy criterion is satisfied if the available drive power is sufficient for the peak power profile. Determining if the at least one traffic criterion is satisfied includes detecting a traffic situation, which comprises at least one traffic condition and/or a route topology, in the surroundings of the subject vehicle, and evaluating whether the predicted power-intensive driving maneuver can be fully executed in the detected traffic situation, wherein the traffic criterion is satisfied if the predicted driving maneuver can be fully executed in detected traffic situation. The method further includes displaying a result of determining whether the driving maneuver criteria are satisfied for the predicted power-intensive driving maneuver.

Since a maximum rotation speed is set to a lower value when a supercharging pressure from a supercharger is high than when the supercharging pressure is low, an engine torque is decreased at a relatively low engine rotation speed and the engine rotation speed is less likely to fall into a high-rotation state. Since the maximum rotation speed is set to a relatively high value when the supercharging pressure is relatively low and the engine rotation speed is less likely to fall into a high-rotation state, the engine torque is not decreased at a relatively high engine rotation speed and power performance can be easily secured. Accordingly, it is possible to curb a decrease in power performance due to a decrease in the engine torque and to prevent the engine rotation speed from falling into a high-rotation state.

A maintenance system can be used with a self-driving vehicle. The maintenance system can include a smoke detection system that is coupled to the self-driving vehicle and is configured to detect smoke inside a passenger cabin of the vehicle, a motor compartment of the vehicle, or a battery compartment of the vehicle.

Provided is an electric motor vehicle including a secondary battery, an electric motor, and a control device that controls an input to and an output from the secondary battery. Using an SOC of the secondary battery, the control device calculates a first OCV that is an OCV based on an assumption of absence of a change in voltage due to polarization. Using a voltage and a current of the secondary battery, the control device calculates a second OCV that is an OCV including a change in voltage due to polarization. When a voltage difference between the first OCV and the second OCV resulting from discharging of the secondary battery is large, the control device augments a limit value of electricity input into the secondary battery to be higher than a limit value when the voltage difference is small.

A CPU performs a regeneration process of stopping combustion control in one or some of cylinders and making the air-fuel ratio of an air-fuel mixture in the other cylinders or cylinder richer than a theoretical air-fuel ratio, when the amount of PM collected by a GPF increases. In performing the regeneration process, the CPU itself compensates for a fall in the output of an internal combustion engine by gradually increasing the filling efficiency of the other cylinders or cylinder. It should be noted, however, that since the output of the internal combustion engine temporarily fluctuates, the CPU compensates for the fluctuations through the use of a second motor-generator. The CPU varies the retardation amount of a timing of starting the regeneration process with respect to a timing of gradually increasing the filling efficiency, in accordance with the state of a battery.

A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a truck, a tractor unit, a trailer, a tractor-trailer configuration, at a tandem, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.

A method for producing an overtaking probability collection, having the following steps: recording a respective driving characteristic in a multiplicity of motor vehicles passing through at least one route section at a geographical position; assigning the respective motor vehicles to overtaking vehicles or to non-overtaking vehicles on the basis of the respective driving characteristic; determining a ratio between the overtaking vehicles and the non-overtaking vehicles; and entering the ratio into the overtaking probability collection as an overtaking probability for the route section at the geographical position.

An HV-ECU executes processing of steps. The steps include: a step of turning on a result display permission flag when an assist condition visible to a user is established; a step of calculating energy consumption in each travel section and total energy consumption when all the assist conditions are established and look-ahead information is updated; a step of generating a travel plan when the total energy consumption is greater than remaining energy; a step of executing switching control in accordance with the travel plan; and a step of outputting a result display when the result display permission flag is in an ON state when a vehicle reaches a destination.

The operation of a hybrid powertrain system is optimized with respect to a desired state-of-charge trajectory, taking account of the estimated anticipated vehicle drive power. The hybrid powertrain system has an internal combustion engine and an electrically operated torque machine. The internal combustion engine and the torque machine are controlled by a control device and are connected to an output element via a hybrid transmission. Before the start of the prediction period Δt, an experience-based state-of-charge trajectory for the anticipated route, covering at least the prediction period Δt, is retrieved from an external database. The desired state-of-charge trajectory is established based on the experience-based state-of-charge trajectory by modifying it with at least one optimization constraint. The experience-based state-of-charge trajectory can be established based on operating data from hybrid powertrain systems of multiple vehicles and/or from operating data from multiple comparable journeys with the same vehicle.