CN104859637A - Orthogonal experimental design calibration optimization method and system of hybrid electric vehicle - Google Patents
Orthogonal experimental design calibration optimization method and system of hybrid electric vehicle Download PDFInfo
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Abstract
The invention provides an orthogonal experimental design calibration optimization method and system of a hybrid electric vehicle. An orthogonal experimental design list is generated according to testing times, a plurality of control curves for vehicle running mode switch control and one or more levels of each control curve, each line in the orthogonal experimental design list represents combinations of levels of various control curves in each test, and each row in the orthogonal experimental design list represents levels of the control curves in each test, and then combinations of the levels of the control curves in each test of the orthogonal experimental design list are subjected to fuel oil economic performance testing, combinations of the levels of the control curves with lowest oil consumption in 100 kilometers are selected as the best combinations, combinations of control parameters of critical points between adjacent operation modes corresponding to the best combinations are obtained, and control parameters of the critical points are combined for calibration optimization. The best combinations of the levels of the control curves, which are obtained through thousand times of testing in the past, can be obtained only through limited times of testing, and the real-time optimization of the control strategy is facilitated.
Description
Technical field
The present invention relates to new-energy automobile control technology field, relate in particular to a kind of orthogonal test design calibration optimization method and system of hybrid vehicle.
Background technology
Calibration optimization is the important process in development and Design process, for hybrid vehicle (HEV, Hybrid Electric Vehicle) etc. new-energy automobile, because the static properties of the core component such as driving engine and motor and dynamic property there are differences, be difficult to make vehicle in operational process, obtain good performance by means of only Theoretical Design, need to carry out demarcating being optimized vehicle performance in real vehicle proof procedure.After hybrid vehicle mode of operation is determined, the fuel-economy performance of transformation point between each operated adjacent pattern to car load has certain influence, in performance optimization debug process, preferably transformation point combination can be obtained to obtain good fuel-economy performance by changing transformation point.
The calibration optimization method that prior art is common, a kind of way is fixed by other controling parameters, test a controling parameters to the impact of fuel-economy performance, but the method work capacity is large, and fails to investigate the interaction between each controling parameters; Another kind of way is exactly the method adopting combined test, by each controling parameters permutation and combination, although the method is comprehensive but work capacity is huge, such as 4 controling parameters, each controling parameters have 5 kinds of levels, just need after permutation and combination to carry out 1024 tests, the prolongation of test period and the surge of expense can be caused.
Summary of the invention
For this reason, technical matters to be solved by this invention is calibration optimization method of the prior art, and testing time is many, and the cycle is long, thus provides a kind of testing time few, the orthogonal test design calibration optimization method and system of the hybrid vehicle that the cycle is short.
For solving the problems of the technologies described above, technical scheme of the present invention is as follows:
An orthogonal test design calibration optimization method for hybrid vehicle, comprising:
An orthogonal table is generated according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
Fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table can test, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
Obtain the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination is used for calibration optimization.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, describedly fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table can test, the combination therefrom selecting the level of the minimum controlling curve of fuel consumption of 100km comprises as best of breed:
By in the level of each controlling curve in each test of described orthogonal table write entire car controller;
The fuel consumption of 100km corresponding to combination of the level of each controlling curve described in each test of record, and generate table with test results accordingly;
Obtain the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, the described combination obtaining the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as best of breed to comprise further:
According to described table with test results calculate respectively the described fuel consumption of 100km of each controlling curve under its each level and;
Fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
Using the combination of the optimal level of each controlling curve described as described best of breed.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, described using the combination of the optimal level of each controlling curve described as after described best of breed, also comprise:
According to described table with test results calculate respectively the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
The size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
Other controlling curve except described maximum effect power controlling curve are horizontally fixed on its optimal level, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, the transformation point controling parameters combination between the adjacent operational mode that the described best of breed of described acquisition is corresponding, is used for calibration optimization by described transformation point controling parameters combination and comprises:
By the transformation point controling parameters combination between the adjacent operational mode that the Horizontal interpolation of each controlling curve corresponding to described best of breed obtained to its correspondence;
Calibration optimization is carried out by described transformation point controling parameters combination write entire car controller.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, described at least one level comprised according to testing time, the multiple controlling curve controlling vehicle operating modes switching and each controlling curve generates an orthogonal table, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test and comprise:
Setting testing time;
Choose controlling curve;
Each described controlling curve at least chooses a level;
Corresponding orthogonal table is generated according to described testing time, each controlling curve described and level thereof.
In the orthogonal test design calibration optimization method of above-mentioned hybrid vehicle, in described setting testing time, setting testing time is 9 times;
Describedly choose in controlling curve, choose and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
Described each described controlling curve is at least chosen in a level, from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve, respectively select 3 levels;
Describedly generate in corresponding orthogonal table according to described testing time, each controlling curve described and level thereof, generate L according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
An orthogonal test design calibration optimization system for hybrid vehicle, comprising:
Generation unit, for generating an orthogonal table according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
Choose unit, can test for fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
Optimizing unit, for obtaining the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination being used for calibration optimization.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described in choose unit and comprise:
Write subelement, for writing in entire car controller by the level of each controlling curve in each test of described orthogonal table;
Record generates subelement, for record the level of each controlling curve described in each test combination corresponding to fuel consumption of 100km, and generate table with test results accordingly;
Selected subelement, for obtaining the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described selected subelement comprises:
Calculator, for calculate respectively according to described table with test results the described fuel consumption of 100km of each controlling curve under its each level and;
Comparator, for the fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
Getter, for the combination of the optimal level using each controlling curve described as described best of breed.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described in choose unit and also comprise:
Difference obtains subelement, for calculate respectively according to described table with test results the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
Maximum effect power determination subelement, for the size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
Debugging subelement, for other controlling curve except described maximum effect power controlling curve are horizontally fixed on its optimal level, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described optimization unit comprises:
Interpolation subelement, for the transformation point controling parameters combination between the adjacent operational mode by obtaining its correspondence to the Horizontal interpolation of each controlling curve corresponding to described best of breed;
Demarcate subelement, for carrying out calibration optimization by described transformation point controling parameters combination write entire car controller.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described generation unit comprises:
Number of times setting subelement, for setting testing time;
Curve chooses subelement, for choosing controlling curve;
Level chooses subelement, for choosing at least one level from each described controlling curve;
Generate subelement, for generating corresponding orthogonal table according to described testing time, each controlling curve described and level thereof.
In the orthogonal test design calibration optimization system of above-mentioned hybrid vehicle, described number of times setting subelement setting testing time is 9 times;
Described curve chooses subelement, be further used for choosing and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
Described level chooses subelement, is further used for respectively selecting 3 levels from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve;
Described generation subelement, is further used for generating L according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
Technique scheme of the present invention has the following advantages compared to existing technology:
The invention provides a kind of orthogonal test design calibration optimization method and system of hybrid vehicle, according to testing time, at least one level of the multiple controlling curve and each controlling curve that control vehicle operating modes switching generates an orthogonal table, in orthogonal table every behavior test at every turn in the combination of level of each controlling curve, often be classified as the level of a controlling curve in each test, afterwards fuel economy is carried out in the combination of the level of each controlling curve in each test of orthogonal table can test, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed, obtain the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed again, the combination of this transformation point controling parameters is used for calibration optimization.Technical scheme of the present invention only needs limited number of time test can obtain the best of breed of the level of each controlling curve that thousands of even more times test of prior art just can get, greatly reduce testing time, shorten test period, decrease R & D Cost, be conducive to the timely optimization of hybrid vehicle control policy.
Accompanying drawing explanation
In order to make content of the present invention be more likely to be clearly understood, below according to a particular embodiment of the invention and by reference to the accompanying drawings, the present invention is further detailed explanation, wherein
Fig. 1 is the diagram of circuit of the orthogonal test design calibration optimization method of hybrid vehicle of the present invention;
Fig. 2 is the concrete diagram of circuit of step S1 in the orthogonal test design calibration optimization method of hybrid vehicle of the present invention;
Fig. 3 is the concrete diagram of circuit of step S2 in the orthogonal test design calibration optimization method of hybrid vehicle of the present invention;
Fig. 4 is the concrete diagram of circuit of the S23 step by step in the step S2 of the orthogonal test design calibration optimization method of hybrid vehicle of the present invention;
Fig. 5 is the concrete diagram of circuit of step 3 in the orthogonal test design calibration optimization method of hybrid vehicle of the present invention;
Fig. 6 is the schematic diagram of 3 levels of the first controlling curve described in the embodiment of the present invention 1;
Fig. 7 is the schematic diagram of 3 levels of the second controlling curve described in the embodiment of the present invention 1;
Fig. 8 is the schematic diagram of 3 levels of the 3rd controlling curve described in the embodiment of the present invention 1;
Fig. 9 is the schematic diagram of 3 levels of the 4th controlling curve described in the embodiment of the present invention 1;
Figure 10 is the structured flowchart of the orthogonal test design calibration optimization system of hybrid vehicle of the present invention.
In figure, Reference numeral is expressed as: 1-generation unit, and 2-chooses unit, and 3-optimizes unit, 11-number setting subelement, 12-curve chooses subelement, and 13-level chooses subelement, 14-generates subelement, and 21-writes subelement, and 22-record generates subelement, 23-selectes subelement, and 24-difference obtains subelement, 25-maximum effect power determination subelement, 26-debugs subelement, 31-interpolation subelement, and 32-demarcates subelement, 231-calculator, 232-comparator, 233-getter.
Detailed description of the invention
The orthogonal test design calibration optimization method and system of hybrid vehicle provided by the invention are for optimizing the calibration optimization process of the car load fuel-economy performance of hybrid vehicle.Citing below specifically describes the technical scheme of the orthogonal test design calibration optimization method and system of hybrid vehicle of the present invention.
Embodiment 1
Present embodiments provide a kind of orthogonal test design calibration optimization method of hybrid vehicle, as shown in Figure 1, comprising:
S1. an orthogonal table is generated according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
S2. fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table can test, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
S3. obtain the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination is used for calibration optimization.
Particularly, orthogonal table is the design table (schedule) of a whole set of rule, with L
9(3
4) orthogonal table (L represents the code name of orthogonal table) is example, be represent to do 9 tests, maximum observable 4 factors (being equivalent to 4 controlling curve in the present embodiment), each factor is 3 levels.Wherein, " level " refers to the possible situation of each factor, for controlling curve, if each controlling curve has three levels, then illustrates that this controlling curve has three kinds of different shapes.In orthogonal table, in each row, the number of times that different numerals occurs is equal.Such as in two horizontal quadrature tables, any row have number " 1 " and " 2 ", and the number of times that in any row, they occur is equal; As in three horizontal quadrature tables, any row have " 1 ", " 2 ", " 3 ", and all equal in the number of arbitrary row; In any two row, the arrangement mode of numeral is complete and balanced.Such as in two horizontal quadrature tables, any two row (same walk crosswise in) in order antithetical phrase have 4 kinds: (1,1), (1,2), (2,1), (2,2).Often kind of logarithm occurrence number is equal.Under three level condition, any two row (same walk crosswise in) ordered pairs have 9 kinds, (1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2), (3,, and often pair of number is also all equal 3).Popular says, each level and each level of another factor of each factor are respectively touched once, orthogonality that Here it is.
Preferably, as shown in Figure 2, described step S1 can comprise:
S11. testing time is set;
S12. controlling curve is chosen;
S13. each described controlling curve at least chooses a level;
S14. corresponding orthogonal table is generated according to described testing time, each controlling curve described and level thereof.
Preferably, in described step S11, can set testing time is 9 times;
In described step S12, can choose and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
In described step S13, can respectively select 3 levels from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve;
In described step S14, L can be generated according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
Particularly, because being switched to the transformation point controling parameters of pure engine mode by pure power mode, the transformation point controling parameters that driving engine is tending towards economic model is switched to by pure engine mode, switch to driving engine by series model be tending towards the transformation point controling parameters of economic model and be tending towards by driving engine the transformation point controling parameters that economic model switches to pure engine mode and be considered to having the greatest impact to fuel-economy performance, also i.e. one of above-mentioned four transformation point controling parameters or when all changing, fuel-economy performance can change thereupon, and above-mentioned four transformation point controling parameters can by the first controlling curve of its correspondence, second controlling curve, 3rd controlling curve and the 4th controlling curve interpolation obtain.The combination of the level of above-mentioned four controlling curve, to having the greatest impact of fuel-economy performance index, by the optimization of combining the transformation point controling parameters of above-mentioned four controlling curve, can obtain higher fuel-economy performance.
Preferably, as shown in Figure 3, described step S2 can comprise:
S21. by the level of each controlling curve in each test of described orthogonal table write entire car controller;
S22. the fuel consumption of 100km corresponding to combination of the level of each controlling curve described in each test of record, and generate table with test results accordingly;
S23. obtain the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
Particularly, the level of each controlling curve in each test is defined in orthogonal table, in each test, the switching of vehicle operating modes will be controlled in the level write entire car controller of each controlling curve in this test, just can get the fuel consumption of 100km corresponding to combination of the level of each controlling curve in this test, each test, capital gets the fuel consumption of 100km under the control of the combination of the level of each controlling curve in current test, certainly, the combination of the level of the controlling curve that fuel consumption of 100km is minimum, is best of breed.For the ease of inquiry, the fuel consumption of 100km corresponding to combination of the level of each controlling curve described in each test can be recorded, and generate table with test results accordingly, tester is by this table with test results, the fuel consumption of 100km that can inquire which time test is very easily minimum, and the level of each controlling curve in this test, very convenient.
Preferably, in order to find more preferred optimum assembly, obtain lower fuel consumption of 100km, as shown in Figure 4, described step S23 may further include:
S231. according to described table with test results calculate respectively the described fuel consumption of 100km of each controlling curve under its each level and;
S232. the fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
S233. using the combination of the optimal level of each controlling curve described as described best of breed.
Particularly, in table with test results, each level of each controlling curve may occur more than once in whole test, with L
9(3
4) orthogonal table is example, 4 controlling curve, each controlling curve has 3 levels, in 9 tests, each level of each controlling curve can occur 3 times, the fuel consumption of 100km of each controlling curve under each level is added, just can obtain the fuel consumption of 100km of each controlling curve under its each level with.Each controlling curve fuel consumption of 100km and the level corresponding to minimum value be optimal control, under this level, fuel-economy performance is the highest, can using each controlling curve fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve, the combination of the optimal level of each controlling curve is the most fuel-efficient combination, is namely best of breed.Thus, on the basis generating the horizontal combination that table with test results obtains, get the horizontal combination that fuel-economy performance is higher, get lower fuel consumption of 100km.
Preferably, in order to further optimization control scheme, can also revise among a small circle the level of controlling curve, to obtain better shape, as shown in Figure 3, after described step S23, can also comprise:
S24. according to described table with test results calculate respectively the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
S25. the size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
S26. its optimal level is horizontally fixed on by other controlling curve except described maximum effect power controlling curve, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
Particularly, by calculate the fuel consumption of 100km of each controlling curve under its each level and maxim and the difference of minimum value, impact on fuel-economy performance when can observe the alteration of form of each controlling curve, the controlling curve that influence power is little, under varying level (shape), the fluctuation of fuel consumption of 100km can be smaller, the controlling curve that influence power is large, under varying level (shape), the fluctuation of fuel consumption of 100km can be very large, also the controlling curve that namely influence power is large, its each level fuel consumption of 100km and maxim and minimum value between difference should be maximum.In order to simplify testing process, other controlling curve except maximum effect power controlling curve can be ignored on the impact of fuel-economy performance, only in certain amplitude, continuous setup is carried out to the optimal level (datum-plane) of maximum effect power controlling curve, can optimize further its level, find the new optimal level (shape) of maximum effect power controlling curve, fuel consumption of 100km is made to become lower, as final best of breed together with the optimal level of other controlling curve, fuel consumption of 100km can be reduced further like this, obtain more excellent fuel-economy performance.
Preferably, as shown in Figure 5, described step S3 can comprise:
S31. by the transformation point controling parameters combination between the adjacent operational mode that the Horizontal interpolation of each controlling curve corresponding to described best of breed obtained to its correspondence;
S32. calibration optimization is carried out by described transformation point controling parameters combination write entire car controller.
Particularly, because the relation that what the level of each controlling curve embodied is between the speed of a motor vehicle and moment of torsion, according to the different speed of a motor vehicle, the moment of torsion matched with current vehicle speed just can be inquired by the level of each controlling curve, by controlling the level of each controlling curve that vehicle operating modes switches, just can obtain the transformation point controling parameters (moment of torsion) between adjacent operational mode, described transformation point controling parameters combination (speed of a motor vehicle and moment of torsion) is write in entire car controller and carries out calibration optimization, as the reference that vehicle operating modes switches, just can obtain optimum fuel-economy performance.
For the ease of understanding, the present embodiment additionally provides the concrete case of the orthogonal test design calibration optimization method of a hybrid vehicle, as described below:
In order to reduce testing time, utilize L
9(3
4) concrete shape of orthogonal table to the first controlling curve, the second controlling curve, the 3rd controlling curve and the 4th controlling curve demarcate.This table carries out 9 tests altogether, can obtain the test effect that permutation and combination tests 81 times; In table, four row represent the first controlling curve a, the second controlling curve b, the 3rd controlling curve c and the 4th controlling curve d respectively, " 1 ", " 2 " and " 3 " often in row represents a kind of shape of three levels of each controlling curve, each level representation respectively, specifically as shown in Fig. 6-Fig. 9.
Table 1 L
9(3
4) orthogonal test designs table
Every a line in table 1 represents the combination of each controlling curve in once test, with the first behavior example, in this test, the level of the first controlling curve a, the second controlling curve b, the 3rd controlling curve c and the 4th controlling curve d is 1, by 9 tests, the fuel consumption of 100km value of the combination of the level of each controlling curve in can at every turn being tested, the fuel consumption of 100km corresponding to combination of the level of each controlling curve in each test of record, the table with test results generated accordingly is as shown in table 2:
Table 2 table with test results
As first time test, the fuel consumption of 100km when level of each controlling curve is 1 is 17.63L/100km, by observation table with test results (table 2), fuel consumption of 100km when can be very easy to find the 5th test is minimum, be only 16.28L/100km, now the level of the level of the first controlling curve a to be the level of the 2, second controlling curve b be the 2, the 3rd controlling curve c is the level of the 3, the 4th controlling curve d is 1, also be that under the horizontal combination of 2,2,3,1, fuel-economy performance is the highest, can as best of breed, very visual in image.
In order to obtain lower fuel consumption of 100km, on the basis of table with test results (table 2), test data can also be further processed, to find more excellent horizontal combination.For the first controlling curve a, in 9 tests, when the level of the first controlling curve a is 1, the 1st row respectively in corresponding table 2, 2nd row and the 3rd row, also fuel consumption of 100km when namely the level of the first controlling curve a is 1 and be 17.63+17.53+16.78=51.94L/100km, when the level of the first controlling curve a is 2, the 4th row respectively in corresponding table 6, 5th row and the 6th row, also fuel consumption of 100km when namely the level of the first controlling curve a is 2 and be 17.98+16.28+17.87=52.13L/100km, by that analogy, according to table with test results (table 2) can obtain the fuel consumption of 100km of each controlling curve under its each level and, generate data processing table accordingly, as shown in table 3:
Table 3 data processing table
Fuel consumption of 100km when table 3 the 1st row represents that the level of each controlling curve is 1 and, fuel consumption of 100km when 2nd row represents that the level of each controlling curve is 2 and, fuel consumption of 100km when 3rd row represents that the level of each controlling curve is 3 and, the 4th row then represent the fuel consumption of 100km of each controlling curve under its each level and maxim and the difference of minimum value.For the first controlling curve a, as can be seen from Table 7, the fuel consumption of 100km of the first controlling curve a when level is 2 and maximum, for 52.13L/100km, fuel consumption of 100km when level is 1 with minimum, for 51.94L/100km, then the optimal level of the first controlling curve a is level 1, in like manner, can be seen by data processing table (table 3), the optimal level of the second controlling curve b is level 1 (fuel consumption of 100km and be only 51.84L/100km), the optimal level of the 3rd controlling curve c is level 3 (fuel consumption of 100km and be only 49.39L/100km), the optimal level of the 4th controlling curve d is level 1 (fuel consumption of 100km and be only 51.38L/100km).Therefore, four controlling curve 1,1,3,1 horizontal combination be optimum assembly, through real vehicle checking, the fuel consumption of 100km under this kind of horizontal combination is only 16.26L/100km, and fuel-economy performance is higher.
In order to obtain more excellent control policy, can finely tune in a certain amplitude range for the optimal level of the maximum controlling curve of influence power, to get more excellent fuel-economy performance, can see from data processing table (table 3), fuel consumption of 100km under each level of first controlling curve a and the difference of maxima and minima be 52.13-51.94=0.19L/100km, fuel consumption of 100km under each level of second controlling curve b and the difference of maxima and minima be 52.12-51.94=0.18L/100km, fuel consumption of 100km under each level of 3rd controlling curve c and the difference of maxima and minima be 53.66-49.39=4.27L/100km, fuel consumption of 100km under each level of 4th controlling curve d and the difference of maxima and minima be 52.92-51.38=1.54L/100km.Therefore, that difference is maximum is the 3rd controlling curve c, namely the 3rd controlling curve c is the maximum controlling curve of influence power, now can by the first controlling curve a, second controlling curve b and the 4th controlling curve d controls at respective optimal level 1, 1, 1, in a certain amplitude range, continuous setup is carried out to the shape of the optimal level 3 of the 3rd controlling curve c, by repeatedly fuel-economy performance test, see the shape of the 3rd controlling curve c when fuel consumption of 100km is minimum, it can be used as the new optimal level of the 3rd controlling curve c, with the first controlling curve a, the optimal level of the second controlling curve b and the 4th controlling curve d is together as final best of breed, fuel consumption of 100km under this kind of combination is through checking, be only 16.23L/100km, fuel-economy performance is higher.
Certainly, also repeatedly can repeat the shape that above-mentioned steps optimizes the first controlling curve a, the second controlling curve b and the 4th controlling curve d further, obtain more excellent horizontal combination, obtain higher fuel-economy performance.
Embodiment 2
Present embodiments provide a kind of orthogonal test design calibration optimization system of hybrid vehicle, as shown in Figure 10, comprising:
Generation unit 1, for generating an orthogonal table according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
Choose unit 2, can test for fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
Optimizing unit 3, for obtaining the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination being used for calibration optimization.
Preferably, described generation unit 1 can comprise:
Number of times setting subelement 11, for setting testing time;
Curve chooses subelement 12, for choosing controlling curve;
Level chooses subelement 13, for choosing at least one level from each described controlling curve;
Generate subelement 14, for generating corresponding orthogonal table according to described testing time, each controlling curve described and level thereof.
Preferably, described number of times setting subelement 11, can be further used for setting testing time is 9 times;
Described curve chooses subelement 12, can be further used for choosing and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
Described level chooses subelement 13, can be further used for respectively selecting 3 levels from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve;
Described generation subelement 14, can be further used for generating L according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
Preferably, choose unit 2 described in can comprise:
Write subelement 21, for writing in entire car controller by the level of each controlling curve in each test of described orthogonal table;
Record generates subelement 22, for record the level of each controlling curve described in each test combination corresponding to fuel consumption of 100km, and generate table with test results accordingly;
Selected subelement 23, for obtaining the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
Preferably, described selected subelement 23 can comprise:
Calculator 231, for calculate respectively according to described table with test results the described fuel consumption of 100km of each controlling curve under its each level and;
Comparator 232, for the fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
Getter 233, for the combination of the optimal level using each controlling curve described as described best of breed.
Preferably, choose unit 2 described in can also comprise:
Difference obtains subelement 24, for calculate respectively according to described table with test results the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
Maximum effect power determination subelement 25, for the size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
Debugging subelement 26, for other controlling curve except described maximum effect power controlling curve are horizontally fixed on its optimal level, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
Preferably, described optimization unit 3 can comprise:
Interpolation subelement 31, for the transformation point controling parameters combination between the adjacent operational mode by obtaining its correspondence to the Horizontal interpolation of each controlling curve corresponding to described best of breed;
Demarcate subelement 32, for carrying out calibration optimization by described transformation point controling parameters combination write entire car controller.
The orthogonal test design calibration optimization system of hybrid vehicle described in the present embodiment, the setting according to orthogonal test designs table is tested, and can realize the optimization of control policy as early as possible, decrease testing time, shorten test period, reduce Cost optimization.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to disc storage, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the diagram of circuit of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and diagram of circuit and/or block scheme and/or square frame.These computer program instructions can being provided to the treater of general computer, single-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the treater of computing machine or other programmable data processing device produce device for realizing the function of specifying in diagram of circuit flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in diagram of circuit flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in diagram of circuit flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Claims (14)
1. an orthogonal test design calibration optimization method for hybrid vehicle, is characterized in that, comprising:
An orthogonal table is generated according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
Fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table can test, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
Obtain the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination is used for calibration optimization.
2. the orthogonal test design calibration optimization method of hybrid vehicle according to claim 1, it is characterized in that, describedly fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table can test, the combination therefrom selecting the level of the minimum controlling curve of fuel consumption of 100km comprises as best of breed:
By in the level of each controlling curve in each test of described orthogonal table write entire car controller;
The fuel consumption of 100km corresponding to combination of the level of each controlling curve described in each test of record, and generate table with test results accordingly;
Obtain the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
3. the orthogonal test design calibration optimization method of hybrid vehicle according to claim 2, it is characterized in that, the described combination obtaining the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as best of breed to comprise further:
According to described table with test results calculate respectively the described fuel consumption of 100km of each controlling curve under its each level and;
Fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
Using the combination of the optimal level of each controlling curve described as described best of breed.
4. the orthogonal test design calibration optimization method of hybrid vehicle according to claim 3, is characterized in that, described using the combination of the optimal level of each controlling curve described as after described best of breed, also comprise:
According to described table with test results calculate respectively the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
The size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
Other controlling curve except described maximum effect power controlling curve are horizontally fixed on its optimal level, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
5. according to the orthogonal test design calibration optimization method of the arbitrary described hybrid vehicle of claim 1-4, it is characterized in that, transformation point controling parameters combination between the adjacent operational mode that the described best of breed of described acquisition is corresponding, is used for calibration optimization by described transformation point controling parameters combination and comprises:
By the transformation point controling parameters combination between the adjacent operational mode that the Horizontal interpolation of each controlling curve corresponding to described best of breed obtained to its correspondence;
Calibration optimization is carried out by described transformation point controling parameters combination write entire car controller.
6. according to the orthogonal test design calibration optimization method of the arbitrary described hybrid vehicle of claim 1-5, it is characterized in that, described at least one level comprised according to testing time, the multiple controlling curve controlling vehicle operating modes switching and each controlling curve generates an orthogonal table, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test and comprise:
Setting testing time;
Choose controlling curve;
Each described controlling curve at least chooses a level;
Corresponding orthogonal table is generated according to described testing time, each controlling curve described and level thereof.
7. the orthogonal test design calibration optimization method of hybrid vehicle according to claim 6, is characterized in that, in described setting testing time, setting testing time is 9 times;
Describedly choose in controlling curve, choose and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
Described each described controlling curve is at least chosen in a level, from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve, respectively select 3 levels;
Describedly generate in corresponding orthogonal table according to described testing time, each controlling curve described and level thereof, generate L according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
8. an orthogonal test design calibration optimization system for hybrid vehicle, is characterized in that, comprising:
Generation unit (1), for generating an orthogonal table according to testing time, multiple controlling curve of control vehicle operating modes switching and at least one level of each controlling curve, in described orthogonal table every behavior test at every turn in the combination of level of each controlling curve, be often classified as the level of a controlling curve in each test;
Choose unit (2), can test for fuel economy is carried out in the combination of the level of each controlling curve in each test of described orthogonal table, therefrom select the combination of the level of the minimum controlling curve of fuel consumption of 100km as best of breed;
Optimizing unit (3), for obtaining the transformation point controling parameters combination between adjacent operational mode corresponding to described best of breed, described transformation point controling parameters combination being used for calibration optimization.
9. the orthogonal test design calibration optimization system of hybrid vehicle according to claim 8, is characterized in that, described in choose unit (2) and comprising:
Write subelement (21), for writing in entire car controller by the level of each controlling curve in each test of described orthogonal table;
Record generates subelement (22), for record the level of each controlling curve described in each test combination corresponding to fuel consumption of 100km, and generate table with test results accordingly;
Selected subelement (23), for obtaining the combination of the level of the minimum controlling curve of fuel consumption of 100km according to described table with test results, it can be used as described best of breed.
10. the orthogonal test design calibration optimization system of hybrid vehicle according to claim 9, is characterized in that, described selected subelement (23) comprising:
Calculator (231), for calculate respectively according to described table with test results the described fuel consumption of 100km of each controlling curve under its each level and;
Comparator (232), for the fuel consumption of 100km under each level of more described each controlling curve and, using fuel consumption of 100km and minimum value corresponding to level as the optimal level of this controlling curve;
Getter (233), for the combination of the optimal level using each controlling curve described as described best of breed.
The orthogonal test design calibration optimization system of 11. hybrid vehicles according to claim 10, is characterized in that, described in choose unit (2) and also comprise:
Difference obtains subelement (24), for calculate respectively according to described table with test results the fuel consumption of 100km of described each controlling curve under its each level and maxim and the difference of minimum value;
Maximum effect power determination subelement (25), for the size of the described difference of each controlling curve relatively more described, using the controlling curve corresponding to maximum described difference as maximum effect power controlling curve, and using its optimal level as datum-plane;
Debugging subelement (26), for other controlling curve except described maximum effect power controlling curve are horizontally fixed on its optimal level, continuous setup is carried out by certain amplitude range of level datum-plane described in it of described maximum effect power controlling curve, when fuel consumption of 100km is minimum, the level of described maximum effect power controlling curve is as its new optimal level, and using the new optimal level of described maximum effect power controlling curve together with the optimal level of other controlling curve described as final best of breed.
The orthogonal test design calibration optimization system of 12.-11 arbitrary described hybrid vehicles according to Claim 8, it is characterized in that, described optimization unit (3) comprising:
Interpolation subelement (31), for the transformation point controling parameters combination between the adjacent operational mode by obtaining its correspondence to the Horizontal interpolation of each controlling curve corresponding to described best of breed;
Demarcate subelement (32), for carrying out calibration optimization by described transformation point controling parameters combination write entire car controller.
The orthogonal test design calibration optimization system of 13.-12 arbitrary described hybrid vehicles according to Claim 8, it is characterized in that, described generation unit (1) comprising:
Number of times setting subelement (11), for setting testing time;
Curve chooses subelement (12), for choosing controlling curve;
Level chooses subelement (13), for choosing at least one level from each described controlling curve;
Generate subelement (14), for generating corresponding orthogonal table according to described testing time, each controlling curve described and level thereof.
The orthogonal test design calibration optimization system of 14. hybrid vehicles according to claim 13, is characterized in that, described number of times setting subelement (11) setting testing time is 9 times;
Described curve chooses subelement (12), be further used for choosing and switch to the controlling curve after pure engine mode as the first controlling curve by pure power mode, choose and switch to driving engine by pure engine mode and be tending towards the controlling curve after economic model as the second controlling curve, choose and switch to driving engine by series model and be tending towards the controlling curve after economic model as the 3rd controlling curve, choose and be tending towards economic model by driving engine and switch to the controlling curve after pure engine mode as the 4th controlling curve;
Described level chooses subelement (13), is further used for respectively selecting 3 levels from described first controlling curve, described second controlling curve, described 3rd controlling curve and described 4th controlling curve;
Described generation subelement (14), is further used for generating L according to described testing time, described first controlling curve and 3 levels, described second controlling curve and 3 levels, described 3rd controlling curve and 3 levels thereof thereof thereof and described 4th controlling curve and 3 levels thereof
9(3
4) orthogonal table.
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