CN104156517A  Batteryelectricvehicle hybrid power system efficiency calculation model and optimization method  Google Patents
Batteryelectricvehicle hybrid power system efficiency calculation model and optimization method Download PDFInfo
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 CN104156517A CN104156517A CN201410366354.8A CN201410366354A CN104156517A CN 104156517 A CN104156517 A CN 104156517A CN 201410366354 A CN201410366354 A CN 201410366354A CN 104156517 A CN104156517 A CN 104156517A
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Abstract
The invention discloses a batteryelectricvehicle composite power system efficiency calculation model and an optimization method. The batteryelectricvehicle composite power system efficiency calculation model comprises a battery model, a workingmode logical judgment model, a demandedpower generation model, a system efficiency calculation model, a super capacitor and a DCDC (direct currentdirect current) inverter model. A simulation model is established under the environment of MATLAB/simulink, main consideration is given to loss of a battery and the super capacitor, efficiency characteristics of a motor is combined, system efficiency of the batteryelectricvehicle hybrid power is calculated, influences of variables of vehicle speed, vehicle acceleration and battery limit power on the system efficiency are compared, and a switching rule in a working mode is formulated. Therefore, energy utilization rate of a battery electric vehicle can be effectively increased, service life of the battery is prolonged, and travelling mileage is increased.
Description
Technical field
The invention belongs to electric vehicle engineering field, be specifically related to a kind of pure electric automobile hybrid power system efficiency calculation model and optimization method.
Background technology
Along with the fast development of Global Auto industry and the rapid growth of automobile pollution, the problem of energy crisis and environmental pollution is day by day serious.Follow " country's " 12 " scientific and technological development planning " formally to issue, newenergy automobile industrial technology becomes the field that the coming five years Department of Science and Technology gives special assistance to, and therefore pure electric automobile will more and more receive publicity.
Along with the raising of the attention degree of government and society environmental pollution and energy problem, energyconserving and environmentprotective have become one of main target of China Automobile Industry.Driving the efficient studies of operating mode the same with braking energy recovery, is all the energyconservation important means of pure electric automobile.Between accumulator and super capacitor, only have coordinate harmonious, could be both energyconservation, efficient again, powerful again.Driving under operating mode, if energy is all sufficient, generally there are 2 kinds of patterns coordinating between accumulator and super capacitor: 1. accumulator list drives pattern, and the power demand of system is less, and accumulator low discharging current, without assisting of super capacitor.2. accumulator and super capacitor drive jointly, and the demand power of system is larger, and the independent driving of accumulator can not meet power demand preferably, and super capacitor booster battery drives together.
At present, the division that composite power source electric motor car Dan Shuan drives mainly relies on experience, there is no rational theoretical foundation, causes vehicle low, the battery irrational utilization of energy efficiency and occur shortening designed life, can not having given play to maximum continual mileage in the process of moving.
Summary of the invention
A kind of pure electric automobile hybrid power system efficiency calculation model of the present invention and optimization method, by modeling under simulink environment, consider the loss of battery and super capacitor and motor, in conjunction with comparatively rational theoretical model and experiment basis, draw the efficiency of hybrid power system under different capacity demand.
The technical solution adopted for the present invention to solve the technical problems is as follows: a kind of based on MATLAB pure electric automobile hybrid power system efficiency calculation model, comprising: battery model, mode of operation logic judgment models, demand power production model, system effectiveness computation model, super capacitor and DC/DC inverter model; Described battery model is for calculating the power attenuation of accumulator under different operating state; Described mode of operation logic judgment models is for the power stream of distribution system; Described system requirements power module is used for providing road surface demand power to input as system; Described system effectiveness computation model, for the power consumption of the each model of aggregation system, calculates system effectiveness η; Described super capacitor and DC/DC inverter model are for calculating the power attenuation of super capacitor under different operating state;
Described have two input ends and an output terminal based on MATLAB pure electric automobile hybrid power system efficiency calculation model;
The speed of a motor vehicle, acceleration are input to demand power production model by described first input end, and the output terminal of described demand power production model outputs to bus requirements power, bus requirements electric current respectively the input end of mode of operation logic judgment models, super capacitor and DC/DC inverter model;
The accumulator powerlimiting Plimit of described second input end outputs to the input end of mode of operation logic judgment models; The output terminal of described mode of operation logic judgment models outputs to accumulator demand current respectively the input end of super capacitor and DC/DC inverter model and battery model, and super capacitor terminal voltage is outputed to mode of operation logic judgment models by described super capacitor and DC/DC inverter model;
Described battery model all outputs to super capacitor and DC/DC inverter losses, the described speed of a motor vehicle, acceleration input end the loss of motor, described super capacitor and DC/DC inverter model accumulator wasted power, described demand power production model by road surface demand power the input end of system effectiveness computation model, and the output terminal of described system effectiveness computation model is system effectiveness η;
Further, described battery model is that the Thevenin model based on battery is set up, comprise SOC computing module, parameter acquisition module, the large module of output computing module three, described SOC computing module, parameter acquisition module, output computing module are connected successively, through the wasted power Pwb of computing output accumulator.
Further, described mode of operation logic judgment models is by bus requirements power P ' compare with the accumulator powerlimiting Plimit manually setting, will detect super capacitor terminal voltage U simultaneously
_{sc}bottom line voltage V with super capacitor
_{b}compare, if P ' > Plimit and U
_{sc}> V
_{b}, system is thought the two patterns of driving that accumulator and super capacitor charge simultaneously that enter; Otherwise system enters the pattern of singly driving.
Further, described system requirements power module is that the efficiency characteristic experiment based on motor is set up, and the loss of described motor is P
_{wem}=P 'P
_{r}, wherein, P ' is bus requirements power, P
_{r}for road surface demand power P
_{r}.
Further, described super capacitor and DC/DC inverter model are that the equivalent model of visiing moral polarization model based on classics is set up, described super capacitor and DC/DC inverter losses P
_{wsc}computing formula be:
P
_{wsc}＝I
_{sc} ^{2}R
_{es}
Wherein, R
_{es}represent the equivalent series internal resistance of super capacitor; I
_{sC}represent super capacitor output current.
Further, the system effectiveness η of described system effectiveness computation model output is:
Wherein, P
_{r}for road surface demand power; P
_{wb}for the wasted power of accumulator; P
_{wsc}for the loss of output super capacitor; P
_{wem}for the loss of motor.
Method and technology scheme of the present invention is: a kind of optimization method based on MATLAB pure electric automobile hybrid power system efficiency, comprises the steps:
Step 1: the initial input speed of a motor vehicle v of initialization system efficiency calculation model
_{0}, acceleration a
_{0}and value precision Δ v and Δ a, then determine the max speed and acceleration v
_{max}, a
_{max};
Step 2: by initial speed of a motor vehicle v
_{0}with initial acceleration a
_{0}input efficiency computation model, use control variate method, regulate the size of accumulator powerlimiting Plimit, operational efficiency computation model, relatively draw the optimum accumulator powerlimiting under optimum efficiency and this input, show that with this lower pair of this input drives the optimum efficiency of pattern; Plimit is made as to the road surface demand power P being more than or equal under this input
_{r}, operational efficiency computation model, can draw the pattern of singly the driving optimum efficiency under this input;
Step 3: according to value precision Δ v, Δ a, progressively will last time input with value precision and add up, optimum efficiency and optimum powerlimiting under the input of calculating difference successively, until input reaches v
_{max}, a
_{max}, circular is identical with step 2;
Step 4: two drive pattern optimum efficiency, singly drive pattern optimum efficiency and two optimum powerlimiting corresponding to pattern optimum efficiency that drive recorded what calculate, in MATLAB taking speed of a motor vehicle v as x axle, acceleration a is y axle, it is z axle that Dan Shuan drives efficiency, to singly drive with two optimum efficiency curved surface cubic polynomial matchings of driving and draw, same method matching draws the optimum powerlimiting of accumulator.
The invention has the beneficial effects as follows: the invention provides a kind of simulation means easily and analyze the hybrid power system efficiency of pure electric automobile, and find the pattern of each drive pattern to switch territory or switch law by analysis.So that raising system effectiveness, extending battery life, increases vehicle continual mileage.
Brief description of the drawings
Process flow diagram when Fig. 1 is system effectiveness computation model operation of the present invention.
Fig. 2 is the inside composition diagram of battery model.
Fig. 3 is accumulator equivalent schematic diagram.
Fig. 4 is the inside composition diagram of super capacitor and DC/DC inverter model.
Fig. 5 is the equivalent schematic diagram of super capacitor and DC/DC inverter model.
Fig. 6 is supercapacitor module fundamental diagram.
Fig. 7 is the inside composition diagram of demand power production model.
Fig. 8 is the inner composition diagram of mode of operation logic judgment models.
Fig. 9 is the inner composition diagram of system effectiveness model.
Figure 10 is the realization flow figure of optimization method of the present invention.
Figure 11 singly drives and two optimum efficiency curved surface comparison diagram driving.
Figure 12 is the division figure that Dan Shuan drives pattern.
The best output map of accumulator when Figure 13 is two driving.
Embodiment
Further set forth the specific embodiment of the present invention below in conjunction with accompanying drawing.
As shown in Figure 1, a kind of based on MATLAB pure electric automobile hybrid power system efficiency calculation model, comprising: battery model 1, mode of operation logic judgment models 2, demand power production model 3, system effectiveness computation model 4, super capacitor and DC/DC inverter model 5; Described battery model 1 is for calculating the power attenuation of accumulator under different operating state; Described mode of operation logic judgment models 2 is for the power stream of distribution system; Described system requirements power module 3 is for providing road surface demand power to input as system; Described system effectiveness computation model 4, for the power consumption of the each model of aggregation system, calculates system effectiveness η; Described super capacitor and DC/DC inverter model 5 are for calculating the power attenuation of super capacitor under different operating state.
Described have two input ends and an output terminal based on MATLAB pure electric automobile hybrid power system efficiency calculation model; Adopt control variate method need look for the system effectiveness optimum solution of output.While moving this model, the speed of a motor vehicle, acceleration are input to demand power production model 3 by described first input end, and the output terminal of described demand power production model 3 outputs to bus requirements power, bus requirements electric current respectively the input end of mode of operation logic judgment models 2, super capacitor and DC/DC inverter model 5; The accumulator powerlimiting Plimit of described second input end outputs to the input end of mode of operation logic judgment models 2; The output terminal of described mode of operation logic judgment models 2 outputs to accumulator demand current respectively the input end of super capacitor and DC/DC inverter model 5 and battery model 1, and super capacitor terminal voltage is outputed to mode of operation logic judgment models 2 by described super capacitor and DC/DC inverter model 5.
Described battery model 1 all outputs to super capacitor and DC/DC inverter losses, the described speed of a motor vehicle, acceleration input end motor wasted power, described super capacitor and DC/DC inverter model 5 accumulator wasted power, described demand power production model 3 by road surface demand power the input end of system effectiveness computation model 4, and the output terminal of described system effectiveness computation model 4 is system effectiveness η.
Described battery model 1 is that the Thevenin model based on battery is set up, this model is mainly made up of 3 major parts, SOC computing module, parameter acquisition module, output computing module, described SOC computing module, parameter acquisition module, output computing module are connected successively, accumulator demand current I
_{b}send into the input end of SOC computing module, the output terminal of SOC computing module is SOC value, then sends into the input end of parameter acquisition module, the output terminal output polarization resistance R of parameter acquisition module
_{1}, polarization capacity C
_{1}, Ohmage R
_{0}, the output terminal of parameter acquisition module connects the input end of output computing module, the wasted power Pwb of the output terminal output accumulator of output computing module.
The equivalentcircuit model of described battery model 1 can represent with Fig. 3.Battery Ohmage R in figure
_{0}, polarization resistance R
_{1}with polarization capacity C
_{1}value record according to experiment, their value changes with battery SOC, data are inserted simulink model with the form of form.In figure, E represents the electromotive force of battery, I
_{b}represent accumulator demand current, U
_{b}represent cell output voltage, C
_{1}for the polarization characteristic of simulated battery, R
_{0}, R
_{1}for the resistance characteristic of simulated battery.In the time that battery is normally worked, can estimate with Pwb the wasted power of accumulator, the bulk properties of battery and the computing formula of Pwb are expressed as follows:
Battery model be input as accumulator demand current I
_{b}, be output as the wasted power Pwb of accumulator.
SOC computing module is mainly that the initial SOC when starting working according to current demand current and battery calculates current SOC value, and computing formula is shown in formula (2).
SOC in formula
_{0}represent initial SOC value (different initial values represents different battery operated states, causes different battery parameters, emulation be situation as requested and determine), r represents the efficiency factor of battery, the nominal capacity that Q is battery, I
_{b}for the demand current of accumulator.
Parameter acquisition module has comprised three groups of experiment parameters, and parameter is inserted to form, during taking SOC as independent variable input parameter acquisition module, can export instant parameter (the polarization resistance R of battery
_{1}, polarization capacity C
_{1}, Ohmage R
_{0}).
Output computing module can be according to wasted power Pwb and the bus voltage of formula (1) calculating accumulator.
The inside of described super capacitor and DC/DC inverter model 5 forms as shown in Figure 4, and this model is that the equivalent model of visiing moral polarization model based on classics is set up, bus requirements electric current and accumulator demand current I
_{b}obtain super capacitor through computing and be finally input to the electric current I in bus
_{aps}, then send into DC/DC inverter, two other input end input bus voltage U of described DC/DC inverter
_{b}and super capacitor terminal voltage U
_{sc}, be output as super capacitor output current I
_{sc}, then described super capacitor output current I
_{sc}divide twoway to send into respectively supercapacitor module and loss computing module.
The equivalent model of the concrete principle of described super capacitor and DC/DC inverter model 5 super capacitor as described in Figure 5, wherein, U
_{sc}represent the terminal voltage of super capacitor, R
_{es}represent the equivalent series resistance of super capacitor, R
_{ep}represent leak resistance, I
_{sc}represent super capacitor output current, I
_{p}represent leakage current;
From equivalent model, the terminal voltage of super capacitor can be expressed as
U
_{sc}＝U
_{c}I
_{sc}R
_{es} (3)
The current potential of super capacitor can be expressed as
On the other hand, the leakage current of super capacitor can be expressed as
Due to R
_{ep}value very big, cause the leakage current I of super capacitor
_{p}very little, therefore the loss P of super capacitor
_{wsc}computing formula as follows:
Supercapacitor module is the mathematical model of setting up according to the super capacitor equivalent model of Fig. 2 and formula (3), (4), (5), be used for simulating super capacitor chargedischarge characteristic, its module construction figure can be described by Fig. 6.Super capacitor demand current (output current) I in Fig. 6
_{sc}as the input of this module, be output as the terminal voltage U of super capacitor
_{sc}, set different super capacitor terminal voltage U
_{sc0}initial value can be simulated different super capacitor initial storage energy.
Super capacitor and DC/DC inverter model as input, are output as the loss P of super capacitor by system requirements electric current and accumulator demand current
_{wsc}.DC/DC inverter Main Function is by super capacitor output voltage U
_{sC}transformation is bus voltage U
_{b}, the circulation of guaranteed output stream, therefore the principle of DC/DC inverter module can use formula (7) to represent.
I
_{aps}＝η
_{DC}I
_{sc}U
_{sc}/U
_{b} (7)
In above formula, I
_{aps}represent that super capacitor is finally input to the electric current in bus; η
_{dC}represent the energy efficiency of DC/DC inverter, consult technical manual, can find its reference value; I
_{sc}represent super capacitor output current; U
_{sc}represent the terminal voltage of super capacitor; U
_{b}represent the voltage in bus, i.e. the voltage at battery two ends.
Loss computing module in super capacitor and DC/DC inverter model is to set up according to the loss sum of formula (6) and DC/DC inverter.Wherein, the loss of DC/DC inverter can be expressed as (1η
_{dC}) I
_{sc}u
_{sc}.Due to DC/DC inverter be mainly by the output voltage transformation of super capacitor, make it identical with bus voltage, thereby energy flow circulated smoothly, efficiency when its work is higher, the present invention does not count its loss.
System requirements power module 3 is that efficiency characteristic experiment based on motor is set up as shown in Figure 7, motor output speed n, the output torque T and the corresponding electric efficiency η that obtain
_{m}according to power balance equation (seeing formula (8)), motor output characteristics equation (seeing formula (9)), transmission ratio and speed of a motor vehicle Changing Pattern (seeing formula (10)), motor output speed n and output torque T are converted into speed of a motor vehicle v and acceleration a, simultaneously by corresponding efficiency value η
_{m}insert form, instantaneous velocity v and acceleration a can calculate road surface demand power P according to power balance equation
_{r}, then according to electric efficiency η
_{m}estimate bus requirements power P '=P
_{r}/ η
_{m}, like this, the loss of motor can be expressed as P
_{wem}=P 'P
_{r}.
i
_{g}＝0.377rn/v (10)
P in formula
_{r}for motor demand power, m is the fully loaded quality of car load, and g is acceleration of gravity, and f is surface resistance coefficient, and i is the gradient, C
_{d}for air resistance coefficient, A is front face area, and δ is gyrating mass conversion coefficient; i
_{g}for transmission gear ratio, r is tire rolling radius.The demand power production model of described Fig. 7, speed of a motor vehicle v and acceleration a are as input, and the loss of bus requirements power, bus requirements electric current, motor is output.
Fig. 8 is mode of operation logic judgment models.By regulating the size of accumulator powerlimiting Plimit to realize the optimum of system effectiveness.Accumulator powerlimiting Plimit, bus requirements power P ', super capacitor terminal voltage U
_{sc}for input, accumulator demand current I
_{b}for output, V
_{b}for a hardware parameter of super capacitor, set according to super capacitor self character and actual conditions.Only has the U that works as accumulator powerlimiting Plimit < P ' and detect
_{sc}be greater than the bottom line voltage V of setting
_{b}(be U
_{sc}> V
_{b}) time, system is thought and is entered two patterns of driving that accumulator and super capacitor charge simultaneously, distributes power stream, calculates two drive efficiency, now accumulator demand current I
_{b}=Plimit/U
_{b}; Otherwise system enters the pattern of singly driving, now accumulator demand current I
_{b}=P '/U
_{b}.
Be illustrated in figure 9 the inner composition diagram of system effectiveness model, the system effectiveness η that described system effectiveness computation model 4 is exported is also system momentary efficiency:
Wherein, P
_{r}for road surface demand power; P
_{wb}for the wasted power of accumulator; P
_{wsc}for the loss of super capacitor and DC/DC inverter; P
_{wem}for the loss of motor.
Figure 10 has provided the realization flow figure of optimization method of the present invention, simply can be divided into four steps:
Step 1: the mode division precision of calculated amount as requested and requirement, the initial input speed of a motor vehicle v of initialization system efficiency calculation model
_{0}, acceleration a
_{0}and value precision Δ v and Δ a, then determine the max speed and acceleration v
_{max}, a
_{max};
Step 2: by initial speed of a motor vehicle v
_{0}with initial acceleration a
_{0}input efficiency computation model, use control variate method, regulate the size of accumulator powerlimiting Plimit, operational efficiency computation model, relatively draw the optimum accumulator powerlimiting under optimum efficiency and this input, show that with this lower pair of this input drives the optimum efficiency of pattern; Plimit is made as to the road surface demand power P being more than or equal under this input
_{r}, operational efficiency computation model, can draw the pattern of singly the driving optimum efficiency under this input;
Step 3: according to value precision Δ v, Δ a, progressively will last time input with value precision and add up, optimum efficiency and optimum powerlimiting under the input of calculating difference successively, until input reaches v
_{max}, a
_{max}.Circular is identical with step 2;
Step 4: two drive pattern optimum efficiency, singly drive pattern optimum efficiency and two optimum powerlimiting corresponding to pattern optimum efficiency that drive recorded what calculate, in MATLAB taking speed of a motor vehicle v as x axle, acceleration a is y axle, it is z axle that Dan Shuan drives efficiency, to singly drive with two optimum efficiency curved surface cubic polynomial matchings of driving and draw, same method matching draws the optimum powerlimiting of accumulator.
Concrete programming process is as follows:
Step 1: the initial input v that determines model
_{0}and a
_{0}(should select close to 0 but can not be 0 value), determines that value precision Δ v and Δ a are (unsuitable too small, unsuitable excessive.Too small meeting causes operand greatly to increase; Crossing conference, to cause Dan Shuan to drive division result accurate not, affects vehicle economy.Δ v should select 5 to 10km/h, and Δ a should select 0.2m/s
^{2}).Determine the max speed v
_{max}and a
_{max}(determining according to the kinematic behavior of selecting vehicle).
Step 2: make j=0;
Step 3: make i=0;
Step 4:v=i* Δ v+v
_{0}, a=j* Δ a+a
_{0}
Step 5: judge whether a is less than or equal to a
_{max}, be to enter step 6; Otherwise, finish.
Step 6: judge whether v is less than or equal to v
_{max}, be to enter step 7; Otherwise, j=j+1, and enter step 3.
Step 7: according to
calculate P
_{r}.
Step 8: determine Plimit
_{0}(approach 0 but can not get 0, should get 0.1kw), Δ Plimit is (unsuitable too small, unsuitable excessive.Too small calculated amount increases greatly, the excessive optimum efficiency that cannot calculate more accurately.Should get the value within the scope of 0.1～0.5kw).
Step 9: make ii=0;
Step 10: calculate Plimit=Plimit
_{0}+ ii* Δ Plimit.
Step 11: judge whether Plimit is less than or equal to P
_{r}.If set up, enter step 12; If be false, the efficiency value relatively recording, obtains the η max under this input, and i=i+1, enters step 4.
Step 12: by v, a, Plimit input efficiency computation model, moves to obtain efficiency value.
Step 13: the efficiency value that recording step 12 obtains.
Step 14: make iiii+1, enter step 10.
Learnt by Fig. 1, this model is to set up in the simulink in MATLAB, is made up of 6 major parts.Several major parts interconnect mutual feedback.The value of input precision has affected calculated amount.In this example, wholecar parameters is chosen new ocean XDY5050XEV.Speed of a motor vehicle v is chosen in input
_{0}=5, acceleration a
_{0}=0; Value precision Δ v=10, Δ a=0.2; v
_{max}=60, a
_{max}=0.7; According to the step of optimization method, calculate the instantaneous moment at the point of each speed of a motor vehicle, acceleration composition, regulate accumulator powerlimiting Plimit, and then system judgement is the pattern of singly driving or two pattern of driving.
So after having calculated, taking speed of a motor vehicle v as x axle, acceleration a is y axle, singly drives efficiency and two to drive optimum efficiency be z axle, in MATLAB, use cubic polynomial matching and draw efficiency curved surface, see Figure 11, can find at relative low speed, when low acceleration, singly the pattern of driving can keep higher efficiency (dark region), and in high speed, when high acceleration, two obvious (regions of white) of odds for effectiveness of driving pattern.
Relatively two efficiency curved surfaces, project to xy plane by surfaces intersection, can obtain the dividing line that Dan Shuan drives pattern and see Figure 12, enter the pattern of singly driving below solid black lines, and solid black lines enters two patterns of driving above.
In addition, the value of the accumulator Plimit while obtaining optimum efficiency value is also carried out matching by cubic polynomial, draws the curved surface of Plimit in MATLAB, as Figure 13, and output contrast Figure 13 of accumulator in the time that system enters two driving.Two while driving pattern, only have in the time that accumulator is exported by Figure 13, could arrive or approach two optimum efficiencies of driving pattern.
The present invention, by setting up the efficiency calculation model of hybrid power system, calculates two optimum efficiencies under pattern of driving taking accumulator peak power output as variograph.By driving optimum efficiencies under pattern and compare with the efficiency of singly driving pattern two, thereby draw the switch law of Dan Shuan between driving.
Finally explanation is, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement technical scheme of the present invention, and not departing from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of claim scope of the present invention.
Claims (7)
1. one kind based on MATLAB pure electric automobile hybrid power system efficiency calculation model, it is characterized in that, comprising: battery model (1), mode of operation logic judgment models (2), demand power production model (3), system effectiveness computation model (4), super capacitor and DC/DC inverter model (5); Described battery model (1) is for calculating the power attenuation of accumulator under different operating state; Described mode of operation logic judgment models (2) is for the power stream of distribution system; Described system requirements power module (3) is for providing road surface demand power to input as system; Described system effectiveness computation model (4), for the power consumption of the each model of aggregation system, calculates system effectiveness η; Described super capacitor and DC/DC inverter model (5) are for calculating the power attenuation of super capacitor under different operating state;
Described have two input ends and an output terminal based on MATLAB pure electric automobile hybrid power system efficiency calculation model;
The speed of a motor vehicle, acceleration are input to demand power production model (3) by described first input end, and the output terminal of described demand power production model (3) outputs to bus requirements power, bus requirements electric current respectively the input end of mode of operation logic judgment models (2), super capacitor and DC/DC inverter model (5);
The accumulator powerlimiting Plimit of described second input end outputs to the input end of mode of operation logic judgment models (2); The output terminal of described mode of operation logic judgment models (2) outputs to accumulator demand current respectively the input end of super capacitor and DC/DC inverter model (5) and battery model (1), and super capacitor terminal voltage is outputed to mode of operation logic judgment models (2) by described super capacitor and DC/DC inverter model (5);
Described battery model (1) all outputs to super capacitor and DC/DC inverter losses, the described speed of a motor vehicle, acceleration input end the loss of motor, described super capacitor and DC/DC inverter model (5) accumulator wasted power, described demand power production model (3) by road surface demand power the input end of system effectiveness computation model (4), and the output terminal of described system effectiveness computation model (4) is system effectiveness η.
2. according to claim 1 based on MATLAB pure electric automobile hybrid power system efficiency calculation model, it is characterized in that, described battery model (1) is that the Thevenin model based on battery is set up, comprise SOC computing module, parameter acquisition module, the large module of output computing module three, described SOC computing module, parameter acquisition module, output computing module are connected successively, through the wasted power P of computing output accumulator
_{wb}.
3. according to claim 1 based on MATLAB pure electric automobile hybrid power system efficiency calculation model, it is characterized in that, described mode of operation logic judgment models (2) is by bus requirements power P ' compare super capacitor terminal voltage U simultaneously with the accumulator powerlimiting Plimit manually setting
_{sc}bottom line voltage V with super capacitor
_{b}compare, if P ' > Plimit and U
_{sc}> V
_{b}, system is thought the two patterns of driving that accumulator and super capacitor charge simultaneously that enter; Otherwise system enters the pattern of singly driving.
4. according to claim 1 based on MATLAB pure electric automobile hybrid power system efficiency calculation model, it is characterized in that, described system requirements power module (3) is that the efficiency characteristic experiment based on motor is set up, and the loss of described motor is P
_{wem}=P 'P
_{r}, wherein, P ' is bus requirements power, P
_{r}for road surface demand power P
_{r}.
5. according to claim 1 based on MATLAB pure electric automobile hybrid power system efficiency calculation model, it is characterized in that, described super capacitor and DC/DC inverter model (5) are that the equivalent model of visiing moral polarization model based on classics is set up, described super capacitor and DC/DC inverter losses P
_{wsc}for:
P
_{wsc}＝I
_{sc} ^{2}R
_{es}
Wherein, R
_{es}represent the equivalent series internal resistance of super capacitor; I
_{sC}represent super capacitor output current.
6. according to claim 1ly it is characterized in that based on MATLAB pure electric automobile hybrid power system efficiency calculation model, the system effectiveness η of described system effectiveness computation model (5) output is:
Wherein, P
_{r}for road surface demand power; P
_{wb}for the wasted power of accumulator; P
_{wsc}for super capacitor and DC/DC inverter losses; P
_{wem}for the loss of motor.
7. the optimization method based on MATLAB pure electric automobile hybrid power system efficiency, is characterized in that, comprises the steps:
Step 1: the initial input speed of a motor vehicle v of initialization system efficiency calculation model
_{0}, acceleration a
_{0}and value precision Δ v and Δ a, then determine the max speed and acceleration v
_{max}, a
_{max};
Step 2: by initial speed of a motor vehicle v
_{0}with initial acceleration a
_{0}input efficiency computation model, use control variate method, regulate the size of accumulator powerlimiting Plimit, operational efficiency computation model, relatively draw the optimum accumulator powerlimiting under optimum efficiency and this input, show that with this lower pair of this input drives the optimum efficiency of pattern; Plimit is made as to the road surface demand power P being more than or equal under this input
_{r}, operational efficiency computation model, can draw the pattern of singly the driving optimum efficiency under this input;
Step 3: according to value precision Δ v, Δ a, progressively will last time input with value precision and add up, optimum efficiency and optimum powerlimiting under the input of calculating difference successively, until input reaches v
_{max}, a
_{max}, circular is identical with step 2;
Step 4: two drive pattern optimum efficiency, singly drive pattern optimum efficiency and two optimum powerlimiting corresponding to pattern optimum efficiency that drive recorded what calculate, in MATLAB taking speed of a motor vehicle v as x axle, acceleration a is y axle, it is z axle that Dan Shuan drives efficiency, to singly drive with two optimum efficiency curved surface cubic polynomial matchings of driving and draw, same method matching draws the optimum powerlimiting of accumulator.
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CN104698860A (en) *  20150205  20150610  北京理工大学  Conduction electromagnetic interference simulation system for alternatingcurrent motor inverter power circuit of electric car 
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CN107491571A (en) *  20160811  20171219  宝沃汽车（中国）有限公司  A kind of method and system of vehicle performance emulation 
CN108957359A (en) *  20180815  20181207  合肥工业大学  The test method of hybrid power system momentary efficiency under a kind of environment for vehicle 
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