CN105257419A - Self-learning achieving method of small engine electronic fuel injection system based on narrow area oxygen sensor - Google Patents
Self-learning achieving method of small engine electronic fuel injection system based on narrow area oxygen sensor Download PDFInfo
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- CN105257419A CN105257419A CN201510728481.2A CN201510728481A CN105257419A CN 105257419 A CN105257419 A CN 105257419A CN 201510728481 A CN201510728481 A CN 201510728481A CN 105257419 A CN105257419 A CN 105257419A
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Abstract
The invention discloses a self-learning achieving method of a small engine electronic fuel injection system based on a narrow area oxygen sensor. A control unit ECU carries out automatic enabling closed-loop control over a self-learning algorithm after the closed-loop control of the engine electronic fuel injection system is started, the closed-loop control coefficient fLcM is automatically adjusted to 1 through the self-learning function, in other words, the closed-loop real-time adjustment coefficient of the narrow area oxygen sensor is 1, an engine runs at the ideal air-fuel ratio, the gasoline ideal air-fuel ratio is 14.7, and then the closed-loop control real-time adjustment coefficient of the narrow area oxygen sensor is converted into the addition coefficient OfsLcAd and the multiplication coefficient fLcAd after self-learning. The closed-loop control coefficient cannot be stored, but the addition coefficient and the multiplication coefficient of the self-learning function can be stored in the ECU. After the engine shuts down next time and before entering the closed-loop control, it is guaranteed that the engine runs under the ideal air-fuel ratio, the engine runs stably, energy is saved, and environment friendliness is achieved.
Description
Technical field
The present invention relates to mini engine electric injection system control strategy technical field, particularly relate to a kind of mini engine electric injection system self study implementation method based on narrow lambda sensor.
Background technique
All narrow lambda sensor can be furnished with in middle-size and small-size electrical control system for engine, ECU can regulate fuel injection quantity to reach the object of closed loop control according to narrow oxygen sensor signal in real time, motor is made to operate in ideal air-fuel ratio, reach the object of energy-conserving and environment-protective, exhaust emissions can be reduced and can reach fuel-efficient object again.But often when the engine is running, narrow lambda sensor all can be heated again, need the time of 3-5 minute just can reach operating temperature, then could normally work, closed loop control just can be opened, the real-time accommodation coefficient of the closed loop control that last time is run can not preserve, caused before closed loop control is opened, under motor operates in open loop situations, this just may result in motor and operate in the partially dense or partially rare state of oil spout, motor runs unstable, and increase discharges pollutants.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of mini engine electric injection system self study implementation method based on narrow lambda sensor, ensures the stability that motor runs, the control strategy of economic environmental protection.Mini engine electric injection system self-learning function based on narrow lambda sensor can be recorded accommodation coefficient real-time for closed loop control according to the different operating conditions of motor, ensure that motor can be stable before closed loop control is opened, reach the object of energy-conserving and environment-protective.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of mini engine electric injection system self study implementation method based on narrow lambda sensor, when electric injection system is in closed loop control state, real-time accommodation coefficient based on the closed loop control of narrow oxygen sensor voltage signal is adjusted to 1, thus obtain two self study coefficients, two self study coefficients are respectively addition coefficient and multiplication coefficient, then addition coefficient and multiplication coefficient are stored in ECU unit, when motor is under open loop operation state, utilize addition coefficient and multiplication coefficient to calculate and obtain real-time accommodation coefficient.
The calculating of addition coefficient: the difference dfLcM first getting closed loop control coefficient fLcM and desired value 1, after self-learning function is enable, ECU carries out integration by K type integration the input quantity dfLcM of K integrator in inside and draws addition coefficient OfsLcAdSyn, addition coefficient OfsLcAdSyn is used to real-time correction fuel injection quantity, thus the air fuel ratio that impact is actual, namely closed loop control coefficient fLcM also can real-time change, along with continuous integration addition coefficient OfsLcAdSyn out, addition coefficient is that mode with additive carrys out Real-time Feedback correction fuel injection quantity, time final, closed loop control coefficient fLcM is 1, target air-fuel ratio also reaches ideal air-fuel ratio, thus reach the object of self study, and addition coefficient OfsLcAdSyn can be recorded in ECU inside, even if closed loop control does not work, when motor runs similar operating mode, closed loop control coefficient is 1 always, reach the object of economic environmental protection.
The calculating of multiplication coefficient: load behavior coefficient fLcAdLo and high capacity operating mode fLcAdUp in multiplication coefficient difference, finally becomes final multiplication correction factor fLcAd two coefficient calculations.
The computational process of fLcAdLo with fLcAdUp is identical with addition coefficient Computing Principle, is all to process difference between closed loop control coefficient fLcM and desired value 1 by K type integration, thus makes fLcM reach the desired value of 1.Multiplication coefficient carrys out Real-time Feedback with the relation of multiplication to regulate fuel injection quantity, target air-fuel ratio is made to be ideal air-fuel ratio, closed loop control coefficient is 1, reach the object of self study, the coefficient of self study is saved in ECU, even if reach closed loop control when not opening, under the state that motor also operates in ideal air-fuel ratio, economic environmental protection.
Addition coefficient is obtained under mini engine is in idle and low load behavior, under the operating mode of high speed load and maximum load, ECU according to acquired addition coefficient from study multiplication coefficient fLcAd, the result of self study is kept in ECU, thus under the different operating modes under engine open-loop state can make motor operate in ideal air-fuel ratio state.
The beneficial effect adopting technique scheme to produce is: by using self-learning function, the accommodation coefficient that engine closed-loop controls can be recorded by the function of self study, like this when motor operation next time, by addition coefficient and the multiplication coefficient adjustment fuel injection quantity of self study, make motor stable, and under being operated in ideal air-fuel ratio state (gasoline be 14.7).Self-learning function is meeting self study always after closed loop control is opened, and will ensure precision and the stability of self study like this.
Accompanying drawing explanation
Fig. 1 is self-learning algorithm function enable logic figure of the present invention;
Fig. 2 is that self-learning algorithm function logic of the present invention controls total figure;
Fig. 3 is that self-learning algorithm function of the present invention adjusts interval enable logic figure;
Fig. 4 is that self-learning algorithm function of the present invention adjusts interval condition setting logic diagram;
Fig. 5 is that the automatic computational logic of self-learning algorithm function of the present invention is always schemed;
Fig. 6-Fig. 8 is self-learning function multiplication coefficient self study computational logic figure;
Fig. 9 is self-learning function addition coefficient self study computational logic figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technological scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Set forth a lot of detail in the following description so that fully understand the present invention, but the present invention can also adopt other to be different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention, therefore the present invention is by the restriction of following public specific embodiment.
As shown in Figure 2, the invention discloses a kind of mini engine electric injection system self study implementation method based on narrow lambda sensor, when electric injection system is in closed loop control state, real-time accommodation coefficient based on the closed loop control of narrow oxygen sensor voltage signal is adjusted to 1, thus obtain two self study coefficients, two self study coefficients are respectively addition coefficient and multiplication coefficient, then addition coefficient and multiplication coefficient are stored in ECU unit, when motor is under open loop operation state, utilizes addition coefficient and multiplication coefficient to calculate and obtain real-time accommodation coefficient.
The calculating of addition coefficient: the difference dfLcM first getting closed loop control coefficient fLcM and desired value 1, after self-learning function is enable, ECU carries out integration by K type integration the input quantity dfLcM of K integrator in inside and draws addition coefficient OfsLcAdSyn, addition coefficient OfsLcAdSyn is used to real-time correction fuel injection quantity, thus the air fuel ratio that impact is actual, namely closed loop control coefficient fLcM also can real-time change, along with continuous integration addition coefficient OfsLcAdSyn out, addition coefficient is that mode with additive carrys out Real-time Feedback correction fuel injection quantity, time final, closed loop control coefficient fLcM is 1, target air-fuel ratio also reaches ideal air-fuel ratio, thus reach the object of self study, and addition coefficient OfsLcAdSyn can be recorded in ECU inside, even if closed loop control does not work, when motor runs similar operating mode, closed loop control coefficient is 1 always, reach the object of economic environmental protection.
The calculating of multiplication coefficient: load behavior coefficient fLcAdLo and high capacity operating mode fLcAdUp in multiplication coefficient difference, finally becomes final multiplication correction factor fLcAd two coefficient calculations.
Fig. 6 is the computational process of fLcAdLo, and Fig. 7 is the computational process of fLcAdUp, and Fig. 8 is the computational process of fLcAd.
The computational process of fLcAdLo with fLcAdUp is identical with addition coefficient Computing Principle, is all to process difference between closed loop control coefficient fLcM and desired value 1 by K type integration, thus makes fLcM reach the desired value of 1.Multiplication coefficient carrys out Real-time Feedback with the relation of multiplication to regulate fuel injection quantity, target air-fuel ratio is made to be ideal air-fuel ratio, closed loop control coefficient is 1, reach the object of self study, the coefficient of self study is saved in ECU, even if reach closed loop control when not opening, motor also operates in the state of ideal air-fuel ratio, economic environmental protection.
Addition coefficient is obtained under mini engine is in idle and low load behavior, under the operating mode of high speed load and maximum load, ECU according to acquired addition coefficient from study multiplication coefficient fLcAd, the result of self study is kept in ECU, thus under the different operating modes under engine open-loop state can make motor operate in ideal air-fuel ratio state, by using self-learning function, the accommodation coefficient that engine closed-loop controls can be recorded by the function of self study, like this when motor operation next time, by addition coefficient and the multiplication coefficient adjustment fuel injection quantity of self study, make motor stable, and under being operated in ideal air-fuel ratio state (gasoline be 14.7).Self-learning function is meeting self study always after closed loop control is opened, and will ensure precision and the stability of self study like this.
As shown in Figure 1, mini engine EFI control strategy of the present invention be after closed loop control is opened just enable (B_Lc be the closed loop control of narrow lambda sensor open flag bit), and in acceleration, can temporary close during deceleration, ensure stability and the accuracy of self study
B_LC=1, the closed loop control of narrow lambda sensor is opened
B_Pg=0, canister purge is not in state of activation
B_Trs=0, motor is not in acceleration mode
B_Brk=0, motor is not in deceleration regime
B_FlAdPha=1, fuel oil adjustment state activation
B_Wot=0, the non-standard-sized sheet of throttle, and CW_NotLcAd (bit5)=0
Tm, engine cylinder head temperature, is greater than the value (can demarcate) of VAL_TmLcAdp
Tps_b, throttle position, is not more than the value (can demarcate) of VAL_TpsLcAdp
B_FlAdpDis=0, basic adjustment is disabled.
As Fig. 2, be that self-learning algorithm function logic of the present invention controls total figure, about condition, enable and computational methods are all in this module, and S1 is that air-fuel ration control adjustment is reset or forbidden conditional logic calculates; Enable condition between S2 self study regulatory region; S3 is the calculating of adjustment variable.
S1 module is the enable condition that can demarcate, and whether decision that namely can be artificial opens self-learning function
S2 module is the demarcation that operating mode is distinguished, by engine speed N_b, and air inflow Maf, the demarcation of the condition restriction of load Ld_b, distinguishing is low idling operation, middle load behavior, high capacity operating mode, determines it is the self study of addition coefficient or multiplication coefficient self study under current working with this.
B_fLcAdLo: be middle load behavior flag bit.
B_fLcAdUp: be high capacity operating mode flag bit.
B_OfsLcAdSyn: be low idling load behavior flag bit.
S3 module is the concrete computational process of addition coefficient and multiplication coefficient, comes continuous self study addition coefficient and multiplication coefficient, make closed loop control coefficient fLcM be 1 by K type integration.
If figure is that self-learning algorithm function of the present invention adjusts interval enable logic figure, when CW_NotLcAd=1 (binary digit 00000001, from right to left, as the 0th, 1st ... 7th), when being 0 for the 1st and the 2nd, B_NofLcAd and B_NoOfsLcAdSyn is 0, then enable self study adjustment interval.
If Fig. 4 is that self-learning algorithm function of the present invention adjusts interval condition setting logic diagram.Can adjust according to motor actual operating mode, the self study of self study addition coefficient enabler flags position B_OfsLcAdSyn (idling, low load behavior) and multiplication coefficient enabler flags position B_fLcAdLo (middle load behavior) and B_fLcAdUp (high capacity operating mode) is interval.
As Fig. 5-Fig. 9, be the automatic computational logic figure of self-learning algorithm function of the present invention, by carrying out real-time self study addition coefficient OfsLcAd and multiplication coefficient fLcAd to the difference repeat integral between fLcM and 1.
In a word, the present invention by obtaining multiplication coefficient and addition coefficient by self study in operation with closed ring process, and be carry out learning and adjusting in the overall process of operation with closed ring, when motor is in initial operation stage, when narrow lambda sensor is in heating process, the addition coefficient that ECU obtains according to self study process and multiplication coefficient is counter pushes away acquisition regulation coefficient, thus accurately control the fuel injection quantity of open loop operation process, under making fuel injection quantity remain at ideal air-fuel ratio state, run more stable, energy-conserving and environment-protective.
Specific algorithm mentality of designing:
1) the enable condition setting of closed loop control self study.
First want the closed loop control function of enable narrow lambda sensor, secondly enough warming-ups wanted by motor, due to the variable effect self study effect of engine temperature, then can not have the enriching coefficient that other can not be had extra, avoid self study inaccurate.Detailed conditions is shown in Fig. 1;
2) closed loop control self-learning module arranges introduction
S1 module is the enable condition that can demarcate, and whether decision that namely can be artificial opens self-learning function
S2 module is the demarcation that operating mode is distinguished, by engine speed N_b, and air inflow Maf, the demarcation of the condition restriction of load Ld_b, distinguishing is low idling operation, middle load behavior, high capacity operating mode, determines it is the self study of addition coefficient or multiplication coefficient self study under current working with this.
B_fLcAdLo: be middle load behavior flag bit.
B_fLcAdUp: be high capacity operating mode flag bit.
B_OfsLcAdSyn: be low idling load behavior flag bit.
S3 module is the concrete computational process of addition coefficient and multiplication coefficient, comes continuous self study addition coefficient and multiplication coefficient, make closed loop control coefficient fLcM be 1 by K type integration.
Detailed: the calculating of addition coefficient: the difference dfLcM first getting closed loop control coefficient fLcM and desired value 1, after self-learning function is enable, ECU carries out integration by K type integration the input quantity dfLcM of K integrator in inside and draws addition coefficient OfsLcAdSyn, addition coefficient OfsLcAdSyn is used to real-time correction fuel injection quantity, thus the air fuel ratio that impact is actual, namely closed loop control coefficient fLcM also can real-time change, along with continuous integration addition coefficient OfsLcAdSyn out, addition coefficient is that mode with additive carrys out Real-time Feedback correction fuel injection quantity, time final, closed loop control coefficient fLcM is 1, target air-fuel ratio also reaches ideal air-fuel ratio, thus reach the object of self study, and addition coefficient OfsLcAdSyn can be recorded in ECU inside, even if closed loop control does not work, when motor runs similar operating mode, air fuel ratio is 1 always, reach the object of economic environmental protection.
The calculating of multiplication coefficient: load behavior coefficient fLcAdLo and high capacity operating mode fLcAdUp in multiplication coefficient difference, finally becomes final multiplication correction factor fLcAd two coefficient calculations.
Fig. 6 is the computational process of fLcAdLo, and Fig. 7 is the computational engineering of fLcAdUp, and Fig. 8 is the computational process of fLcAd.
The computational process of fLcAdLo with fLcAdUp is identical with addition coefficient Computing Principle, is all to process difference between closed loop control coefficient fLcM and desired value 1 by K type integration, thus makes fLcM reach the desired value of 1.Multiplication coefficient carrys out Real-time Feedback with the relation of multiplication to regulate fuel injection quantity, target air-fuel ratio is made to be ideal air-fuel ratio, closed loop control coefficient is 1, reach the object of self study, the coefficient of self study is saved in ECU, even if reach closed loop control when not opening, motor also operates in the state of ideal air-fuel ratio, economic environmental protection.
3) closed loop control self study meaning
ECU finally can preserve the addition coefficient and multiplication coefficient that self study obtains, and is used for adjusting fuel injection quantity in real time, even if under the closed loop control of narrow lambda sensor do not open and can ensure that motor operates in ideal air-fuel ratio state yet, reach the object of economic environmental protection.
Claims (2)
1. the mini engine electric injection system self study implementation method based on narrow lambda sensor, it is characterized in that: when electric injection system is in closed loop control state, by the closed loop control coefficient adjustment based on narrow oxygen sensor voltage signal to 1, thus obtain two self study coefficients, two self study coefficients are respectively addition coefficient and multiplication coefficient, then addition coefficient and multiplication coefficient are stored in ECU unit, when motor is under open loop operation state, utilizes addition coefficient and multiplication coefficient to control Engine Injection Mass and reach ideal air-fuel ratio state;
When engine electric spray system is in closed loop control state, obtain addition coefficient and multiplication coefficient, concrete preparation method is as follows:
The calculating of addition coefficient: the difference dfLcM first getting closed loop control coefficient fLcM and desired value 1, after self-learning function is enable, ECU carries out integration by K type integration the input quantity dfLcM of K integrator in inside, draw addition coefficient OfsLcAdSyn, addition coefficient OfsLcAdSyn is used to real-time correction fuel injection quantity, thus the air fuel ratio that impact is actual, namely closed loop control coefficient fLcM also can real-time change, along with continuous integration addition coefficient OfsLcAdSyn out, addition coefficient is that mode with additive carrys out Real-time Feedback correction fuel injection quantity, closed loop control coefficient fLcM is finally made to be 1, target air-fuel ratio reaches ideal air-fuel ratio, addition coefficient OfsLcAdSyn can be recorded in ECU inside, even if motor is in open loop operation state, also the operating conditions that closed loop control coefficient is 1 can be reached,
The calculating of multiplication coefficient: multiplication coefficient is respectively middle load behavior coefficient fLcAdLo and high capacity operating mode fLcAdUp, finally becomes final multiplication correction factor fLcAd two coefficient calculations;
The computational process of fLcAdLo with fLcAdUp is identical with addition coefficient Computing Principle, all process difference between closed loop control coefficient fLcM and desired value 1 by K type integration, thus make fLcM reach the desired value of 1, multiplication coefficient carrys out Real-time Feedback with the relation of multiplication to regulate fuel injection quantity, target air-fuel ratio is made to reach ideal air-fuel ratio, closed loop control coefficient is 1, reach the object of self study, the coefficient of self study is saved in ECU, even if when closed loop control is not opened, motor also operates in the state of ideal air-fuel ratio.
2. the mini engine electric injection system self study implementation method based on narrow lambda sensor according to claim 1, it is characterized in that: under mini engine is in idle and low load behavior, obtain addition coefficient, under the operating mode of high speed load and maximum load, ECU according to acquired addition coefficient from study multiplication coefficient fLcAd, the result of self study is kept in ECU, thus under Under Different Work Condition of Engine can operate in ideal air-fuel ratio state.
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| CN111255585A (en) * | 2018-11-30 | 2020-06-09 | 联合汽车电子有限公司 | Multi-point self-learning method for mixed gas |
| CN113464289A (en) * | 2021-06-21 | 2021-10-01 | 中国科学院数学与系统科学研究院 | Air-fuel ratio control method for electronic fuel injection engine |
| CN114856841A (en) * | 2022-03-14 | 2022-08-05 | 联合汽车电子有限公司 | GPF regeneration control method based on two-point oxygen sensor |
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| CN113464289A (en) * | 2021-06-21 | 2021-10-01 | 中国科学院数学与系统科学研究院 | Air-fuel ratio control method for electronic fuel injection engine |
| CN114856841A (en) * | 2022-03-14 | 2022-08-05 | 联合汽车电子有限公司 | GPF regeneration control method based on two-point oxygen sensor |
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Effective date of registration: 20190530 Address after: 050000 Unit 0801, Residential Building No. 4, Slow City, 88 Xisanzhuang Street, Xinhua District, Shijiazhuang City, Hebei Province Patentee after: Shijiazhuang Yi Ke Creative Technology Ltd. Address before: 050000 four floor, block A, Hebei Internet building, 86 West three Zhuang Street, Xinhua District, Shijiazhuang, Hebei. Patentee before: Hebei ECO-EV Science and Technology Co., Ltd. |
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Effective date of registration: 20200508 Address after: Room 603-1, block E3, Saida new industry park, Xiqing Economic and Technological Development Zone, Tianjin 300457 Patentee after: Tianjin Youcon Zhihang Technology Co.,Ltd. Address before: 050000 Unit 0801, Residential Building No. 4, Slow City, 88 Xisanzhuang Street, Xinhua District, Shijiazhuang City, Hebei Province Patentee before: SHIJIAZHUANG YIKE INNOVATION TECHNOLOGY Co.,Ltd. |
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