An ECMS-based PHEV four-drive torque distribution method is disclosed. The method comprises: step 1, calculating an equivalent fuel consumption factor; step 2, calculating instantaneous total equivalent fuel consumption rate; step 3, converting all operating torque combinations of an engine, a BSG motor and a rear axle motor into the operating torque of a driving wheel, and determining the operating torque range of each power source; step 4, solving the minimum value of the instantaneous total equivalent fuel consumption rate within the actual operating torque range of each power source; and step 5, taking the operating torque of each power source corresponding to the minimum instantaneous total equivalent fuel consumption rate as the PHEV optimal operating torque for distribution.

A series hybrid vehicle control method for controlling a vehicle that has a battery, an electric power generating motor, a drive motor and an internal combustion engine. The battery charged with the electric power from the electric power generating motor that generates electric power by being driven by the internal combustion engine, and charged with the electric power regenerated by regenerative braking of the drive motor. The drive motor drives a drive wheel. The electric power consumption for motoring is greater in a B range than in a D range. The control method sets deceleration caused by regenerative braking of the drive motor to be greater in the B range than in the D range, and starts motoring of the internal combustion engine in the B range at a lower SOC of the battery than the SOC of the battery in the D range.

A hybrid vehicle control method controls a hybrid vehicle. In this control method, a rotational speed command value for a power generation system is determined in accordance with a state of a drive system, a torque command value is determined for the power generation system such that the rotational speed of the power generation system reaches the rotational speed command value, a damping control is performed to suppress a characteristic vibration component generated in a connection between the engine and the power generator to calculate a final torque command value for the power generation system, and the torque command value is set as the final torque command value without performing the damping control upon determining a system resonance can occur that is caused by vibration of a component different from the characteristic vibration component.

An engine clutch disengagement control method for a hybrid electric vehicle is disclosed to overcome a sense of discontinuous travel caused when an engine clutch is disengaged due to influence of the inaccuracy of model engine torque. The method includes: acquiring vehicle acceleration information during engine clutch disengagement control of the hybrid electric vehicle, determining whether a predetermined condition for determining inaccuracy of model engine torque required for engine clutch disengagement control is satisfied from the acquired vehicle acceleration information, when the predetermined condition is satisfied, determining a situation in which the model engine torque is inaccurate and calculating target compensation torque using the vehicle acceleration information, calculating a target slippage amount in a transmission clutch using the calculated target compensation torque, and performing transmission clutch torque control for inducing slippage in a transmission clutch based on the target slippage amount and a current transmission speed.

A fuel control system obtains a measured amount of fuel consumed by an engine and one or more corresponding operating parameters of the engine and determines a fuel consumption modeled amount based at least in part on a fuel consumption model of the engine and the one or more operating parameters. The fuel consumption model associates different amounts of fuel that, when supplied to the engine, generate corresponding designated outputs of the engine. The system also determines one or more differentials between the measured amount of fuel and the modeled amount and, responsive to the one or more of the differentials exceeding a threshold value, the system identifies one or more components of the powered system that contribute or cause the one or more differentials and/or changes an amount of fuel supplied to the engine according to the fuel consumption model to obtain a desired output of the engine.

A hybrid vehicle (10) has, as drive sources of the hybrid vehicle (10), an engine (20) and a motor (40) mutually coupled via a clutch (30). An engine start controller (1) for the hybrid vehicle (10) includes: a clutch transmission torque control section (61) that controls transmission torque of the clutch (30) on the basis of a predicted engine speed value at the time of starting the engine (20) using the motor (40) via the clutch (30); and a predicted engine speed value setting section (62) that sets the predicted engine speed value on the basis of a stop crank position of the engine (20).

A vehicle driving force control method is provided. The vehicle driving force control method includes collecting vehicle driving information, estimating speed of a driving system of a vehicle from the collected vehicle driving information and calculating speed difference between measurement speed of the driving system and the estimated speed of the driving system, obtaining torque command rate information from the calculated speed difference, limiting a variation of reference torque command determined according to the vehicle driving information based on the acquired torque command rate information to determine final torque command, and controlling operation of a vehicle driving device according to the final torque command.

A control device mounted in a vehicle in which at least one controlled part is controlled based on an output parameter obtained by inputting input parameters to a learned model using a neural network, provided with a parked period predicting part predicting future parked periods of the vehicle and a learning plan preparing part preparing a learning plan for performing relearning of the learned model during the future parked periods based on results of prediction of the future parked periods.

An energy management method for a hybrid electric vehicle (HEV) includes: acquiring a state variable of an HEV; determining a speed of the HEV at a next moment by using a Markov model; according to a speed at a current moment and an acceleration at the current moment so that determining required power of the HEV at the next moment; determining battery power of the HEV according to the required power of the HEV at the next moment and engine power so that constructing a dynamic model for battery charging/discharging; determining energy costs of the HEV according to the required power at the next moment; constructing an energy optimization scheduling model of the HEV according to the energy costs; and determining an energy management model of the HEV according to the energy optimization scheduling model and the dynamic model for battery charging/discharging, to precisely manage energy of the HEV.

Methods and systems are provided for coordinating engine and motor torque in a hybrid vehicle system. The systems and methods use an engine torque command to obtain a motor torque command, and adjust the engine torque command based on an estimate of a time delay between commanded and actual motor torque prior to the engine command being sent to an engine controller. In this way, crankshaft torque accuracy may be improved.