A propulsion system, control system, and method are provided for optimizing fuel economy, which use model predictive control systems to generate a plurality of sets of possible command values and determine a cost for each set of possible command values based on weighting values, a plurality of predicted values, and a plurality of requested values. The set of possible command values having the lowest cost is determined. A linearized axle torque requested value and a linearized axle torque measured value are each created by subtracting an estimated disturbance. The estimated disturbance is determined based on a model of a relationship between measured engine output torque and measured transmission ratio. The linearized axle torque measured value is used to compute the predicted values, which are used to determine the cost. The linearized axle torque requested value is also used to determine the cost.

A method for analyzing the distribution of energy expenditures of a motor vehicle from data from a communications network and from parameters of the vehicle includes steps in which the energy expenditures of the vehicle over a journey are calculated, the said energy expenditures are analyzed by comparing them with at least one model of the vehicle simulating the same journey, an energy balance report is formulated on the basis of the analysis of the energy expenditures and of the fuel consumption and the said energy balance report is communicated to an external server.

A hybrid vehicle includes a vehicle control device to perform a traveling control so as to allow switching between an HV traveling in which the hybrid vehicle travels while an engine works and an EV traveling in which the hybrid vehicle travels while working of the engine is stopped, and an engine control device to execute a filter regeneration control that is an engine control for removing particulate matter deposited in a filter. The engine control device adopts satisfaction of a predetermined first condition, as a requirement for execution of the filter regeneration control, when the number of times of start of the engine after vehicle activation is one, and adopts satisfaction of a second condition, which is satisfied more easily than the first condition, as a requirement for execution of the filter regeneration control, when the number of times of the start is two or more.

Through-the-road (TTR) hybrid designs using control strategies such as an equivalent consumption minimization strategy (ECMS) or an adaptive ECMS are implemented at the supplemental torque delivering electrically-powered drive axle (or axles) in a manner that follows operational parameters or computationally estimates states of the primary drivetrain and/or fuel-fed engine, but does not itself participate in control of the fuel-fed engine or primary drivetrain. BSFC type data particular to the paired-with fuel-fed engine allows an ECMS implementation (or other similar control strategy) to adapt to efficiency curves for the particular fuel-fed engine and to improve overall efficiencies of the TTR hybrid configuration.

A computing device-implemented method includes receiving data representative of one or more operational parameters for a vehicle, calculating the fuel rate required for an internal combustion engine of the vehicle to respond to the operational parameters, determining if the required fuel rate exceeds a threshold which would cause a state change in the performance of the internal combustion engine, if the required fuel rate exceeds the threshold, calculating an amount of assistance required for an electric hybrid traction motor to provide to a drivetrain of the vehicle to implement the received operational parameters of the vehicle, and providing the amount of assistance to the drivetrain of the vehicle, thereby preventing the state change in the performance of the internal combustion engine.

Through-the-road (TTR) hybrid designs using control strategies such as an equivalent consumption minimization strategy (ECMS) or an adaptive ECMS are implemented at the supplemental torque delivering electrically powered drive axle (or axles) in a manner that follows operational parameters or computationally estimates states of the primary drivetrain and/or fuel-fed engine, but does not itself participate in control of the fuel-fed engine or primary drivetrain. BSFC-type data particular to the paired-with fuel-fed engine allows an ECMS implementation (or other similar control strategy) to adapt to efficiency curves for the particular fuel-fed engine and to improve overall efficiencies of the TTR hybrid configuration.

An engine start-stop control method and device for a hybrid electric vehicle, and a hybrid electric vehicle belong to the technical field of vehicles. The method includes: obtaining a target parameter or a target signal, which is engine start-stop related, of the hybrid electric vehicle; determining, according to the target parameter or target signal, whether an engine start-stop related event occurs; if so, determining a level of the engine start-stop related event; and performing engine start-stop control according to the engine start-stop related event and the level thereof; wherein the engine start-stop related event includes at least one of the following: an energy management related start-stop event, a driving behavior related start-stop event, an engine state related start-stop event, an external controller request start-stop event, and other condition related start-stop events. The operating efficiency of the vehicle and the user experience are improved.

Disclosed is a method for optimizing the time gradient of the pressure increase in a fuel injection system of a hybrid motor vehicle. The method determines and uses the engine torque generated by the electric machine of the vehicle to reduce the engine torque generated by the internal combustion engine of the vehicle and allow the high-pressure pump of the internal combustion engine to generate, if applicable, a higher value of the time gradient of the pressure increase in the common supply chamber of its injection system.

Method and apparatus are disclosed for lead vehicle monitoring for adaptive cruise control. An example vehicle includes a communication module for V2V communication, a camera, a sensor, and an adaptive cruise control unit. The adaptive cruise control unit is to determine an acceleration oscillation value of a lead vehicle based upon measurements collected via at least one of the camera and the sensor and send, via the communication module, an instruction to the lead vehicle to activate cruise control responsive to determining the acceleration oscillation value exceeds a threshold.

A computing device-implemented method includes receiving data representative of one or more operational parameters for a vehicle, calculating the fuel rate required for an internal combustion engine of the vehicle to respond to the operational parameters, determining if the required fuel rate exceeds a threshold which would cause a state change in the performance of the internal combustion engine, if the required fuel rate exceeds the threshold, calculating an amount of assistance required for an electric hybrid traction motor to provide to a drivetrain of the vehicle to implement the received operational parameters of the vehicle, and providing the amount of assistance to the drivetrain of the vehicle, thereby preventing the state change in the performance of the internal combustion engine.