Provided are a method for predicting an energy consumption-recovery ratio of a new energy vehicle, and an energy saving control method and system for the new energy vehicle. The method includes: (1) acquiring, by means of an electronic horizon system, geographic information data of a position that is K meters ahead on a road from a current position of the new energy vehicle; (2) compiling statistics on speed information during the process of the new energy vehicle traveling S meters to reach the current position, values of K and S being the same; and (3) taking the geographic information data and the speed information as input vectors, inputting the same into a trained artificial neural network, and outputting a predicted energy consumption-recovery ratio. The present disclosure can optimize energy control over the vehicle, improve the utilization rate of electrical energy, and increase the traveling mileage.

A vehicle control data generation method includes causing processing circuitry to execute an obtaining process that obtains a state of a vehicle and a specifying variable, an operating process that operates an electronic device, a reward calculating process that provides a greater reward when a characteristic of the vehicle meets a standard than when the characteristic does not meet the standard, and an updating process that updates relationship defining data. The update map outputs the updated relationship defining data. The reward calculating process includes a changing process that changes the reward, provided when the characteristic of the vehicle is a predetermined characteristic, such that the reward in a case where torque generated by an internal combustion engine is used to generate the propelling force of the vehicle differs from the reward in a case where the torque is not used to generate the propelling force.

A method of operating a vehicle, comprising: receiving ambient air information; receiving size, distance and relative velocity information about a vehicle in proximity to the vehicle; receiving road surface properties information; receiving wind velocity and direction information; computing an air density ratio factor using the ambient air information; computing an aerodynamic drag ratio factor using the size, distance and relative velocity information; computing a rolling resistance ratio factor using the information road surface properties information; computing effective velocity of the vehicle using the wind velocity and direction information; combining at least one of the air density ratio factor, the aerodynamic drag ratio factor and the rolling resistance ratio factor with vehicle loss coefficients to determining new vehicle loss coefficients; computing an energy loss or power loss of the vehicle using the new vehicle loss coefficients and the effective velocity of the vehicle; and controlling the vehicle to improve fuel economy.

A system and method of calculating a vehicle DTE are provided to calculate a fuel efficiency of each vehicle drive mode, and display a more accurate DTE of each drive mode. The method includes when a driver selects a drive mode and a drive distance of the selected drive mode is accumulated while a vehicle is being driven in the selected mode, collecting drive data including an accumulated drive distance of each drive mode, and fuel efficiency information of each drive mode. A final fuel efficiency of each drive mode is calculated using a drive distance of each drive mode, a consumption energy of each drive mode or a fuel efficiency of each drive mode, and a learning fuel efficiency. A DTE of each drive mode is then calculated based on the calculated final fuel efficiency of each drive mode.

An acceleration method for a hybrid drivetrain includes providing the hybrid drivetrain, setting an initial torque transmission ratio of a belt-drive transmission to a lower transmission ratio, and opening a first disconnect clutch to interrupt torque transmission between an internal combustion engine and an electric machine. The method also includes receiving an acceleration command, shifting the torque transmission ratio with a transmission adjustment gradient from the lower transmission ratio towards an upper transmission ratio, increasing a rotor speed of a rotor shaft of the electric machine with a rotor shaft adjustment gradient, and engaging a first disconnect clutch to rotate an ICE shaft to start the internal combustion engine and increase a rotational speed of the ICE shaft towards a current rotor speed.

The lock-up control unit is configured to: in a case where the normal mode is selected, disengage the lock-up clutch when a vehicle speed decreases and reaches a first vehicle speed while the vehicle is traveling in a state where the lock-up clutch is engaged, in a case where the eco mode is selected, disengage the lock-up clutch when the vehicle speed decreases and reaches a second vehicle speed in a brake operation OFF state while the vehicle is traveling in the state where the lock-up clutch is engaged, in the case where the eco mode is selected, disengage the lock-up clutch when the vehicle speed decreases and reaches a third vehicle speed in a brake operation ON state while the vehicle is traveling in the state where the lock-up clutch is engaged, and set the third vehicle speed to a vehicle speed lower than the first vehicle speed, and set the second vehicle speed to a vehicle speed higher than the first vehicle speed.

The present disclosure relates to a method performed by a deviation assessment system of a vehicle for supporting transitioning of speed control from an ADAS or AD system of the vehicle, to a vehicle driver. The deviation assessment system derives a current system-initiated value of a speed-affecting system parameter pertinent speed control by the ADAS or AD system. The deviation assessment system further derives a value of a corresponding speed-affecting intervention parameter pertinent a driver-initiated speed-affecting intervention of the speed control. Moreover, the deviation assessment system presents on a vehicle display a graphical representation indicative of a discrepancy between the system-initiated value and the driver-initiated value. The disclosure also relates to a deviation assessment system in accordance with the foregoing, a vehicle comprising such a deviation assessment system, and a respective corresponding computer program product and non-volatile computer readable storage medium.

A hybrid vehicle has an internal combustion engine drive that includes at least one internal combustion engine and an electromotive drive that includes at least one electric motor and a battery. The battery can be charged both via the internal combustion engine and via an external power supply. At least one electronic control unit is designed such that, in the event of at least one defined condition that indicates an insufficient use of the electromotive drive compared to the internal combustion engine drive, at least one coercive measure is taken to influence the behavior of the driver towards increasing the use of the electrical drive. The coercive measure may be keeping an automatically lockable fuel tank cover locked.

Systems, apparatuses, and methods disclosed herein include a system including a heating, venting, and air conditioning (HVAC) system and a controller coupled to the HVAC system. The controller is configured to receive internal vehicle information, external static information, and external dynamic information, and to control operation of the HVAC system based on the internal vehicle information, external static information, and external dynamic information.

A monitoring system and method determine a consumption metric representative of one or more of an amount of fuel consumed or an amount of energy consumed by a vehicle during travel over a route. The consumption metric is independent of one or more of vehicle load or elevation change over the route. The system and method optionally can determine a route condition metric representative of a condition of a route traveled upon by a vehicle. The route condition metric is based on a comparison between an actual grade of the route at one or more locations along the route and an estimated grade of the route at the one or more locations.