CN112849119B - Multivariable torque optimizing control distribution method for engine and motor of hybrid electric vehicle - Google Patents
Multivariable torque optimizing control distribution method for engine and motor of hybrid electric vehicle Download PDFInfo
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- CN112849119B CN112849119B CN201911100792.9A CN201911100792A CN112849119B CN 112849119 B CN112849119 B CN 112849119B CN 201911100792 A CN201911100792 A CN 201911100792A CN 112849119 B CN112849119 B CN 112849119B
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- B60W20/00—Control systems specially adapted for hybrid vehicles
- B60W20/10—Controlling the power contribution of each of the prime movers to meet required power demand
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- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/08—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of electric propulsion units, e.g. motors or generators
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
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- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/02—Clutches
- B60W2510/0208—Clutch engagement state, e.g. engaged or disengaged
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- B60W2510/00—Input parameters relating to a particular sub-units
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- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/08—Electric propulsion units
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/24—Energy storage means
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- B60W2520/10—Longitudinal speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60W2540/00—Input parameters relating to occupants
- B60W2540/10—Accelerator pedal position
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/06—Combustion engines, Gas turbines
- B60W2710/0666—Engine torque
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/08—Electric propulsion units
- B60W2710/083—Torque
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
A multivariable torque optimizing control distribution method for an engine and a motor of a hybrid electric vehicle is characterized in that engine torque, rotating speed and equal fuel consumption values obtained through actual measurement are used as a training set to train a neural network, and when training is finished and a training result meets the precision requirement, the trained neural network is derived; by introducing the trained neural network into the torque-sharing control algorithm, the equal fuel consumption value of the engine is calculated in real time by taking the working condition parameters of the whole vehicle as input, and the instantaneous power values of the engine and the motor are converted into the instantaneous fuel consumption; and taking the torque of the engine and the motor corresponding to the minimum instantaneous oil consumption as the optimal torque value at the moment and outputting the optimal torque value to the engine and motor controller. The torque of the engine is not limited to three areas divided by SOC any more, the fuel consumption is calculated point by point while the torque required outside the whole vehicle is met, and finally the torque of the engine and the motor corresponding to the minimum fuel consumption is output, so that the working interval of the engine is optimized, and the fuel economy of the whole vehicle is further improved.
Description
Technical Field
The invention relates to a technology in the field of hybrid electric vehicles, in particular to a multivariable torque optimizing control distribution method for an engine and a motor of a hybrid electric vehicle.
Background
Energy management and torque distribution of hybrid vehicles are key to improving overall vehicle fuel economy. At present, most of finished automobile factories use methods for distributing torque according to six limiting curves of SOC high, medium and low fractions of finished automobile batteries, wherein the six curves divide an engine into three corresponding areas and are matched with a driving motor to control the torque output of the engine, so that the engine works in an efficient area as much as possible.
The existing torque distribution method cannot well meet the requirement of fuel economy of a hybrid electric vehicle, and is specifically represented as follows: the SOC high and low and six limit curves corresponding to the engine are set by experience mostly; when the SOC of the battery is in a certain state, the torque output of the engine is limited to the area corresponding to the SOC at the moment by force, so that the engine outside the area cannot select the operating point, and the operating points are likely to meet the torque requirement of the whole vehicle and have low oil consumption.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a multivariable torque optimizing control distribution method for an engine and a motor of a hybrid electric vehicle, which optimizes the working interval of the engine and further improves the fuel economy of the whole vehicle.
The invention is realized by the following technical scheme:
the method uses the engine torque and the rotating speed obtained by actual measurement and the equal fuel consumption value as a training set to train the neural network, and when the training is finished and the training result meets the precision requirement, the trained neural network is derived; by introducing the trained neural network into the torque-sharing control algorithm, the equal fuel consumption value of the engine is calculated in real time by taking the working condition parameters of the whole vehicle as input, and the instantaneous power values of the engine and the motor are converted into the instantaneous fuel consumption; and the torque of the engine and the motor corresponding to the minimum instantaneous oil consumption is taken as the optimal torque value at the moment and is output to the engine and motor controller, so that the fuel efficiency of the whole vehicle is improved.
The training is as follows: the neural network is trained by using the measured characteristic values of the engine, the rotating speed and the torque of the engine are input during training, the corresponding equal fuel consumption values are output, and the neural network is derived after the training meets the requirements.
The whole vehicle working condition parameters comprise: the method comprises the steps of current engine rotating speed, engine external characteristics corresponding to the current rotating speed, motor rotating speed, finished automobile required torque, gearbox efficiency, engine gear speed ratio and motor gear speed ratio.
The torsion control algorithm is as follows: based on the matching relation between the vehicle speed and the engine rotating speed, setting the output torque of the engine to be increased to an external characteristic value corresponding to the current starting rotating speed according to the step length by reading the current vehicle working condition parameter; and inputting the output torque of the engine increased according to the step length and the current engine rotating speed in the whole vehicle working condition parameters into the trained neural network to obtain the corresponding equal fuel consumption value, and converting the instantaneous power values of the engine and the motor into the instantaneous fuel consumption.
The conversion is as follows: and subtracting the engine output torque value from the vehicle required torque by using the motor output torque, and respectively converting the instantaneous power of the engine and the motor into the instantaneous oil consumption so as to obtain corresponding oil consumption values, wherein:
1) when the torque of the motor is more than or equal to zero, the instantaneous oil consumption is as follows:
FC _ Eng _ Tor _ ICE/icortito/9549 +228 × N _ Mot _ Tor _ Em/EMRatio/9549/0.92 × 100/Eff _ tran, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the gearbox, ICERAtio is the speed ratio of the gear of the engine, N _ Mot is the rotating speed of the motor, Tor _ Em is the torque of the motor, EMratio is the speed ratio of the gear of the motor, and Eff _ tran is the efficiency of the gearbox; wherein Tor _ ICE/ICERAtio is the torque of the engine at this time, the power is converted into the instantaneous oil consumption time in the formula, and a power calculation formula is adopted: and P is T N/9549, wherein T is torque and N is rotating speed.
2) When the motor torque is less than zero, the instantaneous oil consumption is as follows: FC _ Eng _ Tor _ ICE/ICE _ Ratio/9549, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the transmission, and ICERAtio is the speed ratio of the gear of the engine.
The invention relates to a control system for realizing the method, which comprises the following steps: vehicle condition information acquisition module, whole car traction force calculation module, the calculation module of shifting, start and stop control module and torque distribution module, wherein: the vehicle condition information acquisition module is respectively connected with a whole vehicle traction force calculation module, a gear shifting calculation module and a start-stop control module, the battery SOC of a whole vehicle, the vehicle speed, the opening degrees of an accelerator pedal and a brake pedal, a motor gear, an engine gear, the rotating speed of a motor engine and clutch state information are respectively transmitted to the whole vehicle traction force calculation module, the gear shifting calculation module and the start-stop control module, the whole vehicle traction force calculation module is respectively connected with the start-stop control module, the gear shifting calculation module and the torque distribution module and outputs the traction force information required by the whole vehicle, the start-stop control module outputs start-stop control instructions to the whole vehicle controller to control the engine and the motor to be started or stopped, the start-stop control module is connected with the torque distribution module and outputs the start-stop states of the engine and the motor, the gear shifting calculation module outputs the required gear of the engine and the motor to the torque distribution module, and the torque distribution module calculates the instantaneous fuel consumption and the torque of the corresponding engine and motor through a torque distribution algorithm And the values are output to the engine and motor controllers.
The starting and stopping states of the engine and the motor refer to that: the engine is in an off state, a starting state, a neutral gear running state and an in-gear running state, and the motor is in an off state, a neutral gear running state, a gear shifting state and an in-gear running state.
Technical effects
Compared with the prior art, when the torque between the motor and the engine is distributed through the torque distribution module, the torque of the engine is not limited to three areas divided by the SOC any more, the external characteristic torque of the engine corresponding to the rotating speed of each engine and zero are calculated point by point according to the set step length while the external required torque of the whole vehicle is met, the torque of the motor is converted into the instantaneous oil consumption according to the transmission efficiency and the instantaneous power, and finally the torque of the engine and the motor corresponding to the minimum value of the oil consumption is output, so that the working interval of the engine is optimized, and the fuel economy of the whole vehicle is further improved.
Drawings
Fig. 1 is a schematic structural view of a hybrid vehicle to which the present invention is applied;
FIG. 2 is a flow chart of the present invention;
FIG. 3 is a schematic view of the present invention;
FIG. 4 is a logic diagram of the present invention torque division control algorithm;
FIG. 5 is a schematic illustration of an embodiment vehicle speed following condition;
FIG. 6 is a graph of an embodiment SOC variation;
FIG. 7 is a graph showing the change in fuel consumption of the example;
FIG. 8 illustrates the operating point of an engine under conventional torque splitting conditions;
FIG. 9 illustrates engine operating points of the embodiment;
FIG. 10 shows the operating points of the motor under the conventional torque splitting condition;
FIG. 11 illustrates the motor operating point of the embodiment;
in the figure: the system comprises a driver 1, an accelerator pedal signal sensor 2, a brake pressure signal sensor 3, a vehicle control unit 4, a brake controller 5, an engine speed sensor 6, an engine control unit 7, a gear sensor 8, a vehicle speed sensor 9, an engine 10, a main clutch 11, a transmission 12, a brake 13, a main speed reducer 14, a motor 15, a motor speed sensor 16, a motor controller 17, a battery 18 and a battery management system 19.
Detailed Description
As shown in fig. 1, the present embodiment includes: vehicle control unit 4, engine 10, motor 15, main clutch 11, derailleur 12, stopper 13, final drive 14, motor controller 17 and battery 18, wherein: the whole vehicle controller 4 is connected with an engine 10 through an engine speed sensor 6 and an engine control unit 7, the whole vehicle controller 4 is connected with a battery 18 through a battery management system 19, the whole vehicle controller 4 is connected with a transmission 12 through a gear sensor 8 and a vehicle speed sensor 9, the whole vehicle controller 4 is connected with a motor 15 through a motor speed sensor 16, the whole vehicle controller 4 is connected with a brake 13 through a brake controller 5, the whole vehicle controller 4 is connected with a main clutch 11, the engine 10, the main clutch 11, the transmission 12, the motor 15, a motor controller 17 and the battery 18 are sequentially connected, the transmission 12 is connected with a main reducer 14, and the main reducer 14 is connected with two brakes 13.
An accelerator pedal signal sensor 2 and a brake pressure signal sensor 3 are further provided in this embodiment to acquire the degree of opening of the pedal under the operation of the driver 1.
As shown in fig. 2 and fig. 3, in the present embodiment, a vehicle controller obtains a torque required by a vehicle, determines an output gear of the vehicle, and distributes the torque between an engine and a motor according to vehicle attributes and real-time vehicle condition information. Firstly, the whole vehicle controller 4 obtains the required torque of the whole vehicle by looking up a table according to the opening degree of an accelerator pedal and the vehicle speed, then a control system transmits the torque to a torque distribution module, the torque distribution module gradually increases the torque of the engine from a smaller value to an external characteristic torque value corresponding to the rotating speed according to the rotating speed of the engine, the rotating speed of the motor, the external characteristic torque value of the engine under the current rotating speed of the engine, the required torque of the whole vehicle, the current efficiency of a gearbox and the current gear of the engine and the motor by a torque distribution control algorithm, simultaneously, the torque values obtained by the change of the rotating speed of the engine and each step in the algorithm are obtained by a trained neural network, and the torque values of the engine and the like at the moment are obtained by subtracting the torque value of the engine from the torque value of the whole vehicle every time, and the power obtained by calculating the rotating speed and the torque of the engine and the motor at the moment, and further converting the instantaneous oil consumption into a series of instantaneous oil consumption values, finding out the torque values of the engine and the motor corresponding to the minimum instantaneous oil consumption value, and outputting the torque values to the engine and motor controllers.
The vehicle control unit 4 comprises: vehicle condition information acquisition module, whole car traction force calculation module, the calculation module of shifting, start and stop control module and torque distribution module, wherein: the vehicle condition information acquisition module is connected with the whole vehicle traction force demand calculation module, the gear shifting calculation module and the start-stop control module, information such as battery SOC, vehicle speed, opening degrees of an accelerator pedal and a brake pedal, a motor gear, an engine gear, the rotating speed of a motor engine, clutch state and the like of the whole vehicle is respectively transmitted to the modules, the whole vehicle traction force calculation module is connected with the start-stop control module, the gear shifting calculation module and the torque distribution module, the calculated whole vehicle traction force is respectively output to the modules, the start-stop control module directly outputs the calculated whole vehicle traction force to the engine and the motor controller on the one hand, and is connected with the torque distribution module on the other hand to transmit the start-stop state of the motor of the engine, the gear shifting calculation module is connected with the torque distribution module to transmit the required gear of the engine and the motor, and the torque distribution module calculates instantaneous fuel consumption and corresponding torque values of the engine and the motor through a torque distribution control algorithm after receiving the signals, and then output to the engine and motor controller.
The whole vehicle gear shifting calculation module comprises: economy shifts submodule piece and dynamic nature and shifts submodule piece, wherein: the economical gear shifting submodule receives a vehicle-mounted battery SOC, a vehicle instantaneous speed, an accelerator pedal signal and a brake pedal signal; and the dynamic gear shifting submodule receives a signal of an accelerator pedal of the whole vehicle and the vehicle speed.
The torque distribution module comprises: the engine motor state judgment module, the engine traditional mode torque output calculation module, the motor and engine simultaneous driving torque control module, the pure electric mode driving torque output control module and a switch module, wherein: the engine motor state judgment module judges that the current engine and the motor are closed, the starting process is in the process of idle operation or idle operation, and outputs the engine motor state to the switch module at the moment, the engine traditional mode torque output calculation module calculates the torque required by the whole vehicle running according to the traditional mode and outputs the torque to the switch module, the motor and the engine simultaneously drive the torque control module to distribute the torque between the engine and the motor according to the lowest principle of oil consumption and output the distribution information to the switch module, the pure electric mode electric torque output control module calculates the torque required by the whole vehicle running according to the pure electric model and outputs the torque to the switch module, and the switch module outputs the corresponding torque according to the state of the engine or the motor through a corresponding interface of the engine motor state. For example, if the signal output from the engine motor state judgment module to the switch module indicates that the entire vehicle is in the pure electric operation mode at the time, the switch module enables the pure electric mode to drive the torque output control module to calculate the obtained motor torque output.
The vehicle required torque Td is f (a, v), wherein: v is the speed of the whole vehicle, a is the opening degree of an accelerator pedal of the whole vehicle, the value range of a is 0-100%, and f is an interpolation function, wherein the function is realized by a table look-up method in Simulink.
When the accelerator pedal of the whole vehicle is operatedWhen the plate opening a is 100%, the drive torque of each shift position is Tt ═ Te ═ ig*i0R η, wherein: te is external characteristics of the engine or motor, igFor each gear ratio of the transmission, i0The method is characterized in that the main reduction ratio is r of a whole vehicle tire, eta is transmission efficiency of each gear, each gear corresponds to a whole vehicle traction force curve at the moment, an envelope curve is obtained by processing the curves, and the envelope curve covers a traction force and vehicle speed curve corresponding to 100% of the opening degree of each gear a, namely an outer envelope curve of maximum driving force.
The output gear of the whole vehicle is determined according to the gear shifting map, the abscissa of the gear shifting map is vehicle speed, the ordinate of the gear shifting map is accelerator pedal opening, the vehicle speed, the accelerator pedal opening, the brake pedal opening and a battery SOC signal are collected through a sensor, the SOC height corresponds to three different gear shifting maps, and when the point corresponding to the vehicle speed and the accelerator pedal opening is on the right side of the gear up-shift line, the corresponding gear is activated and output.
The vehicle control unit 4 inputs the required torque Tr ═ Td + (-Tb), wherein: td is the vehicle demand torque, Tb is the braking demand torque.
The brake demand torque specifically includes: mechanical braking and braking torque provided by the negative torque of the motor.
Specifically, the distribution module of the vehicle control unit 4 distributes the torque to the engine 10 according to the real-time vehicle condition information, so that the required torque of the engine 10 is increased from a small value according to the set step length.
The vehicle attributes include: the wind resistance coefficient, the maximum rotating speed of the engine, the maximum torque of the engine, the maximum rotating speed of the motor, the peak torque of the motor, the minimum SOC limit value of the battery and the maximum energy recovery torque of the motor.
The real-time vehicle condition information comprises: the method comprises the following steps of vehicle accelerator pedal opening, vehicle battery SOC, vehicle brake pedal opening, vehicle speed, motor gear, engine motor control signals, engine rotating speed, motor rotating speed, vehicle required torque, gearbox efficiency, engine external characteristic torque at a differential end corresponding to the engine rotating speed, engine gear speed ratio and motor gear speed ratio.
The neural network comprises a hidden layer and an output layer, the number of the neurons selected by the hidden layer is 10, 80% of data in a sample is selected for training, 10% of data is used for verification, and 10% of data is used for testing.
The module is a Simulink module.
The training sample of the neural network is actually measured universal characteristic data of an engine used by the sub-simulation, the data comprises engine rotating speed, torque, fuel consumption values and the like, an algorithm adopted during training is a Levenberg algorithm, and a measurement standard of a training result is an average square error and an R correlation coefficient.
The instantaneous oil consumption is calculated in the following mode:
1) when the torque of the motor is more than or equal to zero, the instantaneous oil consumption is calculated in the following mode:
FC _ Eng _ Tor _ ICE/icortito/9549 +228 × N _ Mot _ Tor _ Em/EMRatio/9549/0.92 × 100/Eff _ tran, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the gearbox, ICERAtio is the speed ratio of the gear of the engine, N _ Mot is the rotating speed of the motor, Tor _ Em is the torque of the motor, EMratio is the speed ratio of the gear of the motor, and Eff _ tran is the efficiency of the gearbox; wherein Tor _ ICE/ICERAtio is the torque of the engine at this time, the power is converted into the instantaneous oil consumption time in the formula, and a power calculation formula is adopted: and P is T N/9549, wherein T is torque and N is rotating speed.
2) When the torque of the motor is less than zero, the instantaneous oil consumption is calculated in the following mode:
FC _ Eng · Tor _ ICE/ICE _ Ratio/9549, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the gearbox, and ICERAtio is the speed ratio of the engine gear.
Converting each engine torque into an instantaneous oil consumption value to obtain an oil consumption sequence, sequencing the oil consumption sequence to obtain a minimum instantaneous oil consumption value and a subscript serial number value thereof, and then enabling the engine output torque to be equal to an initial set value plus the step length multiplied by the minimum oil consumption subscript serial number value; the output torque of the motor is equal to the required torque minus the engine output torque. Thus, the instantaneous oil consumption of the engine at each moment can be guaranteed to be the lowest.
As shown in fig. 5 to 7, the difference between the beginning and the end is 1.1%, and is within 3%. Oil consumption of a traditional torque splitting strategy: 6L/100km, the oil consumption of the embodiment is 5.5L/100km, and compared with the prior art, the fuel economy of the whole vehicle is improved by 8.3 percent.
As shown in fig. 8 to 11, the engine operating point becomes somewhat dispersed and the motor operating point does not change much compared with the engine and motor operating points to which this torque split control method is not applied. The engine at this time is not constrained to a fixed area as before.
The fuel consumption values of the engine and the like in the embodiment are related to the number of the neural network training samples, the more the number of the training samples is, the higher the precision is, and the calculation precision of the engine fuel value through the trained neural network in the embodiment is within 0.1%.
Under the conditions of an ambient temperature of 25 ℃, a heat engine state of an engine and an initial SOC 25% of a battery, a P2.5 hybrid configuration is matched based on a certain SUV vehicle model, and under the working condition of NEDC, the method is adopted for simulation, and the obtained experimental data are as follows: the difference between the initial SOC value and the final SOC value is 1.1 percent, the requirement of the regulation is met within 3 percent, and the oil consumption is 5.5L/100 km. Compared with the prior art, the performance index of the method is improved in that a torque distribution module is embedded with a torque distribution control algorithm to replace the original engine torque distribution mode of dividing according to SOC, the torque distribution control algorithm is embedded in the torque distribution module, the input parameters of the torque distribution algorithm include the rotating speed of an engine motor, the external characteristic torque value of the engine at the current rotating speed, the current torque required by the whole vehicle, the current efficiency of a gearbox, and the current gear of the engine and the motor are input, seven variables are comprehensively considered, the lowest overall oil consumption of the system is the torque distribution standard on the premise of meeting the external required torque of the whole vehicle and the electric balance, and the torque distribution is carried out between the engine and the motor.
The foregoing embodiments may be modified in many different ways by those skilled in the art without departing from the spirit and scope of the invention, which is defined by the appended claims and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (6)
1. A multivariable torque optimizing control distribution method for an engine and a motor of a hybrid electric vehicle is characterized in that engine torque, rotating speed and equal fuel consumption values obtained through actual measurement are used as a training set to train a neural network, and when training is finished and a training result meets the precision requirement, the trained neural network is derived; by introducing the trained neural network into the torque-sharing control algorithm, the working condition parameters of the whole vehicle are used as input, the equal fuel consumption value of the engine is calculated in real time, and the instantaneous power values of the engine and the motor are converted into the instantaneous fuel consumption; the torque of the engine and the motor corresponding to the minimum instantaneous oil consumption is taken as the optimal torque value at the moment and is output to the engine and motor controller, so that the fuel efficiency of the whole vehicle is improved;
the torsion control algorithm is as follows: based on the matching relation between the vehicle speed and the engine rotating speed, setting the output torque of the engine to be increased to an external characteristic value corresponding to the current starting rotating speed according to the step length by reading the current vehicle working condition parameter; and inputting the output torque of the engine increased according to the step length and the current engine rotating speed in the whole vehicle working condition parameters into the trained neural network to obtain the corresponding equal fuel consumption value, and converting the instantaneous power values of the engine and the motor into the instantaneous fuel consumption.
2. The multivariate torque optimization control distribution method as defined in claim 1, wherein the training comprises: the neural network is trained by using the measured characteristic values of the engine, the rotating speed and the torque of the engine are input during training, the corresponding equal fuel consumption values are output, and the neural network is derived after the training meets the requirements.
3. The multivariable torque optimization control distribution method of claim 1, wherein said vehicle operating condition parameters comprise: the method comprises the steps of current engine rotating speed, engine external characteristics corresponding to the current rotating speed, motor rotating speed, finished automobile required torque, gearbox efficiency, engine gear speed ratio and motor gear speed ratio.
4. The multivariable torque optimization control method of claim 1, wherein the scaling is: and subtracting the engine output torque value from the vehicle required torque by using the motor output torque, and respectively converting the instantaneous power of the engine and the motor into the instantaneous oil consumption so as to obtain corresponding oil consumption values, wherein:
1) when the torque of the motor is more than or equal to zero, the instantaneous oil consumption is as follows:
FC _ Eng _ Tor _ ICE/icortito/9549 +228 × N _ Mot _ Tor _ Em/EMRatio/9549/0.92 × 100/Eff _ tran, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the gearbox, ICERAtio is the speed ratio of the gear of the engine, N _ Mot is the rotating speed of the motor, Tor _ Em is the torque of the motor, EMratio is the speed ratio of the gear of the motor, and Eff _ tran is the efficiency of the gearbox; wherein Tor _ ICE/ICERAtio is the torque of the engine at this moment, power is converted into instantaneous fuel consumption through a power calculation formula P ═ T × N/9549, wherein T is the torque, and N is the rotating speed;
2) when the motor torque is less than zero, the instantaneous oil consumption is as follows: FC _ Eng _ Tor _ ICE/ICE _ Ratio/9549, wherein: FC _ Eng is a fuel consumption value of an engine and the like, N _ Eng is the current rotating speed of the engine, Tor _ ICE is the torque of the output end of the transmission, and ICERAtio is the speed ratio of the gear of the engine.
5. A control system for implementing the method of any one of claims 1 to 4, comprising: vehicle condition information acquisition module, whole car traction force calculation module, the calculation module of shifting, start and stop control module and torque distribution module, wherein: the vehicle condition information acquisition module is respectively connected with a whole vehicle traction force calculation module, a gear shifting calculation module and a start-stop control module, the battery SOC of a whole vehicle, the vehicle speed, the opening degrees of an accelerator pedal and a brake pedal, a motor gear, an engine gear, the rotating speed of a motor engine and clutch state information are respectively transmitted to the whole vehicle traction force calculation module, the gear shifting calculation module and the start-stop control module, the whole vehicle traction force calculation module is respectively connected with the start-stop control module, the gear shifting calculation module and the torque distribution module and outputs the traction force information required by the whole vehicle, the start-stop control module outputs start-stop control instructions to the whole vehicle controller to control the engine and the motor to be started or stopped, the start-stop control module is connected with the torque distribution module and outputs the start-stop states of the engine and the motor, the gear shifting calculation module outputs the required gear of the engine and the motor to the torque distribution module, and the torque distribution module calculates the instantaneous fuel consumption and the torque of the corresponding engine and motor through a torque distribution algorithm And outputting the value to an engine and motor controller.
6. The control system of claim 5, wherein the torque distribution module comprises: engine motor state judgement module, engine tradition mode torque output calculation module, motor and engine simultaneous drive torque control module, pure electric mode drive torque output control module and a switch module, wherein: the engine motor state judgment module judges whether the current engine and the motor are closed, the starting process is carried out, the idle operation or the idle operation is carried out, and the engine motor state at the moment is output to the switch module, the engine traditional mode torque output calculation module calculates the torque required by the whole vehicle running according to the traditional mode and outputs the torque to the switch module, the motor and the engine simultaneously drive the torque control module to distribute the torque between the engine and the motor according to the lowest oil consumption principle and output the distribution information to the switch module, the pure electric mode electric torque output control module calculates the torque required by the whole vehicle running according to the pure electric model and outputs the torque to the switch module, and the switch module outputs the corresponding torque according to the state of the engine or the motor through the corresponding interface of the engine motor state.
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