CN115095433B - Starting method and device of natural gas engine - Google Patents
Starting method and device of natural gas engine Download PDFInfo
- Publication number
- CN115095433B CN115095433B CN202210547232.3A CN202210547232A CN115095433B CN 115095433 B CN115095433 B CN 115095433B CN 202210547232 A CN202210547232 A CN 202210547232A CN 115095433 B CN115095433 B CN 115095433B
- Authority
- CN
- China
- Prior art keywords
- natural gas
- self
- gas engine
- learning value
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/0025—Controlling engines characterised by use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures
- F02D41/0027—Controlling engines characterised by use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures the fuel being gaseous
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/04—Introducing corrections for particular operating conditions
- F02D41/06—Introducing corrections for particular operating conditions for engine starting or warming up
- F02D41/062—Introducing corrections for particular operating conditions for engine starting or warming up for starting
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/14—Introducing closed-loop corrections
- F02D41/1401—Introducing closed-loop corrections characterised by the control or regulation method
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/30—Controlling fuel injection
Abstract
The invention discloses a starting method and a starting device of a natural gas engine. The invention comprises the following steps: under the condition that the starting fault of the natural gas engine is determined, determining the type of the starting fault; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; and controlling the start of the natural gas engine according to the target self-learning value. The invention solves the problems of abnormal injection quantity, difficult starting and unstable idling of the natural gas engine caused by abnormal oxygen closed loop correction factor self-learning value and/or natural gas quality factor self-learning value in the related technology.
Description
Technical Field
The invention relates to the field of engines, in particular to a starting method and device of a natural gas engine.
Background
In the related art, aiming at a natural gas engine for a road, the following conditions can cause the abnormality of the self-learning value of an oxygen closed loop correction factor and/or the self-learning value of a natural gas quality factor of the natural gas engine, so that the abnormal injection quantity of the natural gas is caused when the engine is started in the next driving cycle, and the problems of difficult engine starting, unstable idling and the like are caused: 1) The related components of the injection system are sporadically abnormal to cause the abnormality of the self-learning value of the oxygen closed loop correction factor; 2) The oxygen closed loop correction factor self-learning value is not relearned or reset after the related components of the injection system are replaced; 3) The quality of the natural gas filled after the natural gas engine is stopped is greatly different from the original natural gas quality, so that the natural gas quality factor is abnormal when the natural gas engine is started by adopting the original natural gas quality factor self-learning value.
In the prior art, under the condition of related faults of the natural gas engine without influencing the starting, if the natural gas engine cannot be started normally or is difficult to start or the idle speed control is unstable after the starting is successful, the oxygen closed loop correction factor self-learning value and the natural gas quality factor self-learning value are reset through a service tool; after the related components of the injection system of the natural gas engine are replaced, the oxygen closed loop correction factor self-learning value and the natural gas quality factor self-learning value are reset through a service tool, but the two prior arts are manually or manually processed according to the performance of the natural gas engine, and the software automation processing cannot be realized.
In view of the above problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
The invention mainly aims to provide a starting method and a starting device of a natural gas engine, which are used for solving the problem that the natural gas engine in the related art cannot automatically process an oxygen closed loop correction factor self-learning value and/or a natural gas quality factor self-learning value according to the starting state of the natural gas engine.
In order to achieve the above object, according to one aspect of the present invention, there is provided a starting method of a natural gas engine. The invention comprises the following steps: under the condition that the starting fault of the natural gas engine is determined, determining the type of the starting fault; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; and controlling the start of the natural gas engine according to the target self-learning value.
Further, before determining the target self-learning value corresponding to the natural gas engine in the case that the type of the start-up fault is not the first preset fault type, the method further includes: acquiring an initial self-learning value corresponding to the natural gas engine, wherein the initial self-learning value comprises an initial oxygen closed-loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM (electrically erasable programmable read-Only memory) of an ECU (electronic control unit) of the natural gas engine; determining the product of an initial oxygen closed loop correction factor self-learning value and an initial natural gas quality factor self-learning value; under the condition that the product is in a preset range, determining that the type of the starting fault corresponding to the initial self-learning value is not the type of the current starting fault of the natural gas engine; and under the condition that the product is not in the preset range, determining that the type of the starting fault corresponding to the initial self-learning value is the type of the current starting fault of the natural gas engine.
Further, under the condition that the type of the starting fault is not the first preset fault type, determining a target self-learning value corresponding to the natural gas engine includes: acquiring a starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the present time; matching the starting temperature with at least one input value corresponding to the first one-to-one dimensional array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a target oxygen closed loop correction factor self-learning value; and matching the starting temperature with at least one input value corresponding to the second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as a self-learning value of the target natural gas quality factor.
Further, after controlling the natural gas engine start in accordance with the target self-learning value, the method includes: judging whether the natural gas engine is started successfully or not; under the condition that the natural gas engine is successfully started, keeping a target self-learning value unchanged, and judging whether an oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not; under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is 1, recovering the target self-learning value to an initial self-learning value through a preset step length; and under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is not 1, keeping the target self-learning value unchanged.
Further, in the event of a natural gas engine start failure, the method includes: and restoring the target self-learning value to the initial self-learning value.
Further, before controlling the natural gas engine to start according to the target self-learning value, the method further comprises: it is detected whether a start-requesting command for the natural gas engine is received.
Further, controlling the natural gas engine to start according to the target self-learning value, including: acquiring a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value; correcting a first injection deviation of the natural gas engine according to a self-learning value of a target oxygen closed-loop correction factor, wherein the first injection deviation is an injection deviation caused by a second preset fault type of the natural gas engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear; correcting a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, wherein the second injection deviation is the injection deviation caused by the occurrence of a third preset fault type of the natural gas engine, and the third preset fault type is at least one of the following: a failure due to a difference in fuel composition and gas quality of the natural gas engine, and a failure due to a difference in fuel rail pressure of the natural gas engine; after correcting the first injection deviation and the second injection deviation, the natural gas engine is controlled to start.
In order to achieve the above object, according to another aspect of the present application, there is provided a starting device of a natural gas engine. The device comprises: the first determining unit is used for determining the type of the starting fault under the condition that the starting fault of the natural gas engine is determined; the second determining unit is configured to determine, when the type of the start fault is not the first preset fault type, a target self-learning value corresponding to the natural gas engine, where the target self-learning value at least includes a target oxygen closed-loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; and the control unit is used for controlling the starting of the natural gas engine according to the target self-learning value.
In order to achieve the above object, according to another aspect of the present application, there is provided a computer-readable storage medium including a stored program, wherein the program performs a method of starting a natural gas engine of any one of the above.
In order to achieve the above object, according to another aspect of the present application, there is provided a processor for running a program, wherein the program performs a method of starting a natural gas engine of any one of the above.
According to the invention, the following steps are adopted: under the condition that the starting fault of the natural gas engine is determined, determining the type of the starting fault; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; according to the target self-learning value, the natural gas engine is controlled to start, the problems of abnormal natural gas engine injection quantity, difficult starting and unstable idling caused by abnormal oxygen closed loop correction factor self-learning value and/or natural gas quality factor self-learning value in the related technology are solved, and the effects of improving the natural gas engine injection quantity abnormality, starting difficulty and idling abnormality caused by abnormal oxygen closed loop correction factor self-learning value and/or gas quality factor self-learning value are further achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flow chart diagram I of a method for starting a natural gas engine according to an embodiment of the present invention;
FIG. 2 is a second flowchart of a method for starting a natural gas engine according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a starting device of a natural gas engine according to an embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the application, a method for starting a natural gas engine is provided.
Fig. 1 is a flowchart one of a method of starting a natural gas engine according to an embodiment of the present application. As shown in fig. 1, the application comprises the following steps:
step S101, in the case where it is determined that the natural gas engine has a start failure, determining the type of the start failure.
In the above-mentioned way, the natural gas engine cannot be started under the condition that the natural gas engine has a start failure, and it is necessary to determine what kind of failure the natural gas engine cannot be started.
Step S102, determining a target self-learning value corresponding to the natural gas engine under the condition that the type of the starting fault is not a first preset fault type, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine.
The above-mentioned starting problem of natural gas engines may be caused by the following faults: the application aims at improving the starting fault of a natural gas engine caused by abnormality of a self-learning value of an oxygen closed loop correction factor and/or a self-learning value of a natural gas quality factor of the natural gas engine. The oxygen closed loop correction factor self-learning value is the output value of the oxygen closed loop control correction factor self-learning function, mainly the self-adaption of fuel mixing control deviation is performed, the injection deviation caused by the fault, aging, abrasion and the like of an injection valve can be self-learned by self-learning the oxygen closed loop control correction factor under a specific working condition, the self-learning value is the system fixed deviation, the deviation is corrected by correcting the fuel injection quantity, and the deviation is stored in an EEPROM (electrically erasable programmable read only memory) when an ECU (electronic control unit) is powered off. The natural gas quality factor self-learning value is an output value of a natural gas quality factor self-learning function, and mainly through self-learning the natural gas quality factor under a specific working condition, the self-learning of injection deviation caused by fuel component gas quality difference and fuel rail pressure difference can be performed, the self-learning value is related to the natural gas quality, the self-learning function needs to be activated again for learning after the natural gas is refilled, and the self-learning value is stored in an EEPROM when the ECU is powered off.
Step S103, controlling the starting of the natural gas engine according to the target self-learning value.
And controlling the starting of the natural gas engine according to the self-learning value of the target oxygen closed-loop correction factor and/or the self-learning value of the target natural gas quality factor.
In an alternative example, before determining the target self-learning value corresponding to the natural gas engine in the case that the type of the start-up fault is not the first preset fault type, the method further includes: acquiring an initial self-learning value corresponding to the natural gas engine, wherein the initial self-learning value comprises an initial oxygen closed-loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM (electrically erasable programmable read-Only memory) of an ECU (electronic control unit) of the natural gas engine; determining the product of an initial oxygen closed loop correction factor self-learning value and an initial natural gas quality factor self-learning value; under the condition that the product is in a preset range, determining that the type of the starting fault corresponding to the initial self-learning value is not the type of the current starting fault of the natural gas engine; and under the condition that the product is not in the preset range, determining that the type of the starting fault corresponding to the initial self-learning value is the type of the current starting fault of the natural gas engine.
Above-mentioned ground, natural gas engine start-up condition belongs to open loop control, and natural gas injection quantity is influenced by the oxygen closed loop correction factor self-learning value and natural gas quality factor self-learning value that last driving cycle stored, so need to carry out the rationality judgement of initial self-learning value at first, initial self-learning value is stored in the EEPROM of the ECU of natural gas engine, confirm initial oxygen closed loop correction factor self-learning value and initial natural gas quality factor self-learning value's product, under the condition that the product is in preset range, initial self-learning value has rationality, can not cause natural gas engine to start up trouble because of initial self-learning value, to the start-up of engine is less under the condition that the product is not in preset range, initial self-learning value can cause natural gas engine to start up trouble because of initial self-learning value, preferably, preset range is [0.7,1.5].
In an alternative example, in a case where the type of the start fault is not the first preset fault type, determining the target self-learning value corresponding to the natural gas engine includes: acquiring a starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the present time; matching the starting temperature with at least one input value corresponding to the first one-to-one dimensional array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a target oxygen closed loop correction factor self-learning value; and matching the starting temperature with at least one input value corresponding to the second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as a self-learning value of the target natural gas quality factor.
Above-mentioned ground, obtain the minimum temperature that this start-up process corresponds that natural gas engine corresponds, minimum temperature is through the ambient temperature that the engine is located, inlet air temperature, coolant liquid temperature and engine oil temperature get little after obtaining, and the target is from the study value by minimum temperature respectively check corresponding CURVE array, confirm by minimum temperature that the target is from the reason of study value is that engine combustion state is inconsistent under different temperatures, and natural gas vaporization condition is poor under the low temperature, can be more difficult when starting for the first time at low temperature.
In an alternative example, after controlling the natural gas engine start in accordance with the target self-learned value, the method includes: judging whether the natural gas engine is started successfully or not; under the condition that the natural gas engine is successfully started, keeping a target self-learning value unchanged, and judging whether an oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not; under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is 1, recovering the target self-learning value to an initial self-learning value through a preset step length; and under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is not 1, keeping the target self-learning value unchanged.
The oxygen sensor can enter a closed-loop working state after reaching the working temperature, and the electronic injection system starts to correct the fuel supply amount of fuel injection according to the signal supplied by the oxygen sensor so as to achieve the fuel injection pulse control of complete combustion. Judging whether the natural gas engine is successfully started, keeping the target self-learning value unchanged under the condition that the natural gas engine is successfully started, judging whether an oxygen closed loop enabling state corresponding to the natural gas engine is 1, namely judging whether the natural gas engine is in a complete combustion state, and recovering the target self-learning value to an initial self-learning value stored in an EEPROM (electrically erasable programmable read only memory) through a preset step length under the condition that the natural gas engine is in the complete combustion state, wherein the EEPROM is an electrified erasable programmable read only memory, data can not be lost after power failure, and the target self-learning value is kept unchanged under the condition that the natural gas engine is in the incomplete combustion state. When the natural gas engine is successfully started after the natural gas engine is replaced by the target self-learning value, the target self-learning value needs to be restored to the initial self-learning value stored in the previous driving cycle after the natural gas engine enters the oxygen closed-loop control function, and in order to ensure the switching stability of the replacement value, the initial self-learning value needs to be restored in a preset step length mode, so that the driving cycle normally updates the initial self-learning value.
In an alternative example, in the event of a natural gas engine start failure, the method includes: and restoring the target self-learning value to the initial self-learning value.
Above-mentioned ground, the natural gas engine still can't start after initial self-learning value changes to the target self-learning value, and then initial self-learning value is not the main factor that influences the engine and does not have engine starting success, and target self-learning value needs to resume to initial self-learning value.
In an alternative example, before controlling the natural gas engine start in accordance with the target self-learned value, the method further comprises: it is detected whether a start-requesting command for the natural gas engine is received.
The natural gas engine is started after receiving the start request instruction.
In an alternative example, controlling natural gas engine start in accordance with the target self-learned value includes: acquiring a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value; correcting a first injection deviation of the natural gas engine according to a self-learning value of a target oxygen closed-loop correction factor, wherein the first injection deviation is an injection deviation caused by the occurrence of a second preset fault type of the engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear; correcting a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, wherein the second injection deviation is the injection deviation caused by the occurrence of a third preset fault type of the engine, and the third preset fault type is at least one of the following: a failure due to a difference in fuel composition and gas quality of the natural gas engine, and a failure due to a difference in fuel rail pressure of the natural gas engine; after correcting the first injection deviation and the second injection deviation, the natural gas engine is controlled to start.
The oxygen closed-loop control correction factor is self-learned under a specific working condition, injection deviation caused by the faults, aging, abrasion and the like of the injection valve is self-learned, the self-learned value of the oxygen closed-loop control correction factor is a system fixed deviation, and the deviation is corrected by correcting the fuel injection quantity; the natural gas quality factor is self-learned under a specific working condition, the injection deviation caused by the fuel component gas quality difference and the fuel rail pressure difference is self-learned, the natural gas quality factor self-learning value is related to the natural gas quality, and the self-learning function is required to be activated again for learning after the natural gas is refilled. And controlling the starting of the natural gas engine through the self-learning value of the target oxygen closed-loop correction factor and the self-learning value of the target natural gas quality factor.
In another embodiment provided by the present application, fig. 2 is a flowchart two of a starting method of a natural gas engine provided according to an embodiment of the present application, and a specific flow is shown in fig. 2:
step 1: reading parameters such as an oxygen closed loop correction factor self-learning value A, a natural gas quality factor self-learning value B and the like from the EEPROM after the ECU is powered on, and turning to the step 2;
step 2: obtaining parameters such as an engine starting state, a starting success state, a starting temperature, a related fault state affecting engine starting and the like, and turning to the step 3;
Step 3: judging whether a related fault affecting the starting of the engine exists, if so, turning to step 12, and if not, turning to step 4;
step 4: judging whether the product C of A and B is in a preset range or not, if so, turning to step 12, and if not, turning to step 5;
step 5: judging whether the starting state is set, namely whether a starting request exists, if so, turning to step 6, and if not, turning to step 2;
step 6: setting the values of A and B as preset values, wherein the preset values are obtained by checking a preset CURVE array at the starting temperature, and turning to the step 7;
step 7: judging whether the engine is started successfully, if so, turning to the step 8, and if not, turning to the step 9;
step 8: keeping the values of A and B unchanged at the preset value, and turning to step 10;
step 9: restoring the values of A and B to the values read from the EEPROM when the ECU is powered on, and turning to the step 12;
step 10: judging whether the oxygen closed loop enabling state is 1, if so, turning to step 11, and if not, turning to step 8;
step 11: turning the values of A and B to the values read from the EEPROM when the ECU is powered on in a preset step size ramp to step 12;
step 12: and (5) ending.
Through the steps, the method and the device solve the problems of difficult starting of the engine and abnormal idling caused by abnormal oxygen closed loop correction factor self-learning value and/or gas quality factor self-learning value.
According to the starting method of the natural gas engine, the type of the starting fault is determined under the condition that the starting fault of the natural gas engine is determined; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; according to the target self-learning value, the natural gas engine is controlled to start, the problems of abnormal natural gas engine injection quantity, difficult starting and unstable idling caused by abnormal oxygen closed loop correction factor self-learning value and/or natural gas quality factor self-learning value in the related technology are solved, and the effects of improving the natural gas engine injection quantity abnormality, starting difficulty and idling abnormality caused by abnormal oxygen closed loop correction factor self-learning value and/or gas quality factor self-learning value are further achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment of the invention also provides a starting device of the natural gas engine, and the starting device of the natural gas engine can be used for executing the starting method for the natural gas engine. The following describes a starting device of a natural gas engine provided by an embodiment of the present invention.
Fig. 3 is a schematic diagram of a starting device of a natural gas engine according to an embodiment of the invention. As shown in fig. 3, the apparatus includes: a first determining unit 301, configured to determine a type of start failure in a case where it is determined that the natural gas engine has a start failure; a second determining unit 302, configured to determine, when the type of the start-up fault is not the first preset fault type, a target self-learning value corresponding to the natural gas engine, where the target self-learning value at least includes a target oxygen closed-loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; the control unit 303 is configured to control the start of the natural gas engine according to the target self-learning value.
In an alternative example, the apparatus further comprises: the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring an initial self-learning value corresponding to the natural gas engine before determining a target self-learning value corresponding to the natural gas engine under the condition that the type of the starting fault is not a first preset fault type, wherein the initial self-learning value comprises an initial oxygen closed loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM of an ECU of the natural gas engine; a third determining unit, configured to determine a product of the initial oxygen closed-loop correction factor self-learning value and the initial natural gas quality factor self-learning value; a fourth determining unit, configured to determine that, when the product is within a preset range, the type of the start failure corresponding to the initial self-learning value is not the type of the current start failure of the natural gas engine; and a fifth determining unit, configured to determine that the type of the start failure corresponding to the initial self-learning value is the type of the current start failure of the natural gas engine, if the product is not within the preset range.
In an alternative example, the second determining unit 302 includes: the first acquisition subunit is used for acquiring the starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the time; the first matching subunit is used for matching the starting temperature with at least one input value corresponding to the first one-to-one array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a self-learning value of the target oxygen closed loop correction factor; and the second matching subunit is used for matching the starting temperature with at least one input value corresponding to the second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as a self-learning value of the target natural gas quality factor.
In an alternative example, the apparatus includes: the first judging unit is used for judging whether the natural gas engine is started successfully or not after the natural gas engine is controlled to be started according to the target self-learning value; the second judging unit is used for keeping the target self-learning value unchanged under the condition that the natural gas engine is successfully started, and judging whether the oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not; the first recovery unit is used for recovering the target self-learning value to an initial self-learning value through a preset step length under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is 1; and the maintaining unit is used for maintaining the target self-learning value unchanged under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is not 1.
In an alternative example, the apparatus includes: and the second recovery unit is used for recovering the target self-learning value to the initial self-learning value in the case of failure of starting the natural gas engine.
In an alternative example, the apparatus further comprises: and the detection unit is used for detecting whether a start request instruction of the natural gas engine is received before the natural gas engine is controlled to start according to the target self-learning value.
In an alternative example, the control unit 303 includes: the second acquisition subunit is used for acquiring the self-learning value of the target oxygen closed-loop correction factor and the self-learning value of the target natural gas quality factor; the first correction subunit is used for correcting the first injection deviation of the natural gas engine according to the self-learning value of the target oxygen closed-loop correction factor, wherein the first injection deviation is the injection deviation caused by the occurrence of a second preset fault type of the engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear; the first correction subunit is configured to correct a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, where the second injection deviation is an injection deviation caused by a third preset fault type of the engine, and the third preset fault type is at least one of the following: a failure due to a difference in fuel composition and gas quality of the natural gas engine, and a failure due to a difference in fuel rail pressure of the natural gas engine; and the control subunit is used for controlling the start of the natural gas engine after correcting the first injection deviation and the second injection deviation.
The starting device of the natural gas engine provided by the embodiment of the invention is used for determining the type of the starting fault under the condition that the starting fault of the natural gas engine is determined through the first determining unit 301; a second determining unit 302, configured to determine, when the type of the start-up fault is not the first preset fault type, a target self-learning value corresponding to the natural gas engine, where the target self-learning value at least includes a target oxygen closed-loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; the control unit 303 is configured to control the start of the natural gas engine according to the target self-learning value, so as to solve the problems of abnormal injection quantity, difficult start and unstable idle speed of the natural gas engine caused by abnormal self-learning values of the oxygen closed-loop correction factor and/or the natural gas quality factor in the related art, and further achieve the effects of improving abnormal injection quantity, difficult start and abnormal idle speed of the natural gas engine caused by abnormal self-learning values of the oxygen closed-loop correction factor and/or the gas quality factor.
The starting device of the natural gas engine comprises a processor and a memory, wherein the first determining unit 301 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The inner core can be provided with one or more than one inner core parameters, and the problems of abnormal injection quantity, difficult starting and unstable idling of the natural gas engine caused by abnormal oxygen closed loop correction factor self-learning value and/or natural gas quality factor self-learning value in the related technology are solved by adjusting the inner core parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
An embodiment of the present invention provides a computer-readable storage medium having stored thereon a program that, when executed by a processor, implements a method for starting a natural gas engine.
The embodiment of the invention provides a processor which is used for running a program, wherein the starting method of a natural gas engine is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program: under the condition that the starting fault of the natural gas engine is determined, determining the type of the starting fault; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; and controlling the start of the natural gas engine according to the target self-learning value.
Further, before determining the target self-learning value corresponding to the natural gas engine in the case that the type of the start-up fault is not the first preset fault type, the method further includes: acquiring an initial self-learning value corresponding to the natural gas engine, wherein the initial self-learning value comprises an initial oxygen closed-loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM (electrically erasable programmable read-Only memory) of an ECU (electronic control unit) of the natural gas engine; determining the product of an initial oxygen closed loop correction factor self-learning value and an initial natural gas quality factor self-learning value; under the condition that the product is in a preset range, determining that the type of the starting fault corresponding to the initial self-learning value is not the type of the current starting fault of the natural gas engine; and under the condition that the product is not in the preset range, determining that the type of the starting fault corresponding to the initial self-learning value is the type of the current starting fault of the natural gas engine.
Further, under the condition that the type of the starting fault is not the first preset fault type, determining a target self-learning value corresponding to the natural gas engine includes: acquiring a starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the present time; matching the starting temperature with at least one input value corresponding to the first one-to-one dimensional array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a target oxygen closed loop correction factor self-learning value; and matching the starting temperature with at least one input value corresponding to the second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as a self-learning value of the target natural gas quality factor.
Further, after controlling the natural gas engine start in accordance with the target self-learning value, the method includes: judging whether the natural gas engine is started successfully or not; under the condition that the natural gas engine is successfully started, keeping a target self-learning value unchanged, and judging whether an oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not; under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is 1, recovering the target self-learning value to an initial self-learning value through a preset step length; and under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is not 1, keeping the target self-learning value unchanged.
Further, in the event of a natural gas engine start failure, the method includes: and restoring the target self-learning value to the initial self-learning value.
Further, before controlling the natural gas engine to start according to the target self-learning value, the method further comprises: it is detected whether a start-requesting command for the natural gas engine is received.
Further, controlling the natural gas engine to start according to the target self-learning value, including: acquiring a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value; correcting a first injection deviation of the natural gas engine according to a self-learning value of a target oxygen closed-loop correction factor, wherein the first injection deviation is an injection deviation caused by the occurrence of a second preset fault type of the engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear; correcting a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, wherein the second injection deviation is the injection deviation caused by the occurrence of a third preset fault type of the engine, and the third preset fault type is at least one of the following: a failure due to a difference in fuel composition and gas quality of the natural gas engine, and a failure due to a difference in fuel rail pressure of the natural gas engine; after correcting the first injection deviation and the second injection deviation, the natural gas engine is controlled to start.
The device herein may be a server, PC, PAD, cell phone, etc.
The invention also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: under the condition that the starting fault of the natural gas engine is determined, determining the type of the starting fault; under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: a crankshaft and camshaft related fault, an ignition system related fault, and an injection system related fault of a natural gas engine; and controlling the start of the natural gas engine according to the target self-learning value.
Further, before determining the target self-learning value corresponding to the natural gas engine in the case that the type of the start-up fault is not the first preset fault type, the method further includes: acquiring an initial self-learning value corresponding to the natural gas engine, wherein the initial self-learning value comprises an initial oxygen closed-loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM (electrically erasable programmable read-Only memory) of an ECU (electronic control unit) of the natural gas engine; determining the product of an initial oxygen closed loop correction factor self-learning value and an initial natural gas quality factor self-learning value; under the condition that the product is in a preset range, determining that the type of the starting fault corresponding to the initial self-learning value is not the type of the current starting fault of the natural gas engine; and under the condition that the product is not in the preset range, determining that the type of the starting fault corresponding to the initial self-learning value is the type of the current starting fault of the natural gas engine.
Further, under the condition that the type of the starting fault is not the first preset fault type, determining a target self-learning value corresponding to the natural gas engine includes: acquiring a starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the present time; matching the starting temperature with at least one input value corresponding to the first one-to-one dimensional array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a target oxygen closed loop correction factor self-learning value; and matching the starting temperature with at least one input value corresponding to the second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as a self-learning value of the target natural gas quality factor.
Further, after controlling the natural gas engine start in accordance with the target self-learning value, the method includes: judging whether the natural gas engine is started successfully or not; under the condition that the natural gas engine is successfully started, keeping a target self-learning value unchanged, and judging whether an oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not; under the condition that the oxygen closed-loop enabling state corresponding to the natural gas engine is 1, recovering the target self-learning value to an initial self-learning value through a preset step length; and under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is not 1, keeping the target self-learning value unchanged.
Further, in the event of a natural gas engine start failure, the method includes: and restoring the target self-learning value to the initial self-learning value.
Further, before controlling the natural gas engine to start according to the target self-learning value, the method further comprises: it is detected whether a start-requesting command for the natural gas engine is received.
Further, controlling the natural gas engine to start according to the target self-learning value, including: acquiring a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value; correcting a first injection deviation of the natural gas engine according to a self-learning value of a target oxygen closed-loop correction factor, wherein the first injection deviation is an injection deviation caused by the occurrence of a second preset fault type of the engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear; correcting a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, wherein the second injection deviation is the injection deviation caused by the occurrence of a third preset fault type of the engine, and the third preset fault type is at least one of the following: a failure due to a difference in fuel composition and gas quality of the natural gas engine, and a failure due to a difference in fuel rail pressure of the natural gas engine; after correcting the first injection deviation and the second injection deviation, the natural gas engine is controlled to start.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by the computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.
Claims (10)
1. A method of starting a natural gas engine, comprising:
under the condition that the natural gas engine is determined to have a starting fault, determining the type of the starting fault;
under the condition that the type of the starting fault is not a first preset fault type, determining a target self-learning value corresponding to the natural gas engine, wherein the target self-learning value at least comprises a target oxygen closed loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: the natural gas engine has a crankshaft and camshaft related fault, an ignition system related fault and an injection system related fault;
And controlling the starting of the natural gas engine according to the target self-learning value.
2. The method of claim 1, wherein, in the event that the type of start-up fault is not a first preset fault type, prior to determining the corresponding target self-learned value for the natural gas engine, the method further comprises:
acquiring an initial self-learning value corresponding to the natural gas engine, wherein the initial self-learning value comprises an initial oxygen closed-loop correction factor self-learning value and an initial natural gas quality factor self-learning value, and the initial self-learning value is stored in an EEPROM of an ECU of the natural gas engine;
determining the product of the initial oxygen closed loop correction factor self-learning value and the initial natural gas quality factor self-learning value;
under the condition that the product is in a preset range, determining that the type of the starting fault corresponding to the initial self-learning value is not the type of the current starting fault of the natural gas engine;
and under the condition that the product is not in the preset range, determining that the type of the starting fault corresponding to the initial self-learning value is the type of the current starting fault of the natural gas engine.
3. The method of claim 1, wherein determining the corresponding target self-learned value for the natural gas engine if the type of start-up fault is not the first preset fault type comprises:
acquiring a starting temperature corresponding to the natural gas engine, wherein the starting temperature is the lowest temperature corresponding to the starting process of the natural gas engine at the time;
matching the starting temperature with at least one input value corresponding to a first one-dimensional array, determining a first target input value successfully matched with the starting temperature under the condition of successful matching, and determining a first output value corresponding to the first target input value as a self-learning value of the target oxygen closed-loop correction factor;
and matching the starting temperature with at least one input value corresponding to a second one-dimensional array, determining a second target input value successfully matched with the starting temperature under the condition of successful matching, and determining a second output value corresponding to the second target input value as the self-learning value of the target natural gas quality factor.
4. The method of claim 2, wherein after controlling the natural gas engine start in accordance with the target self-learned value, the method comprises:
Judging whether the natural gas engine is started successfully or not;
under the condition that the natural gas engine is successfully started, keeping the target self-learning value unchanged, and judging whether the oxygen closed-loop enabling state corresponding to the natural gas engine is 1 or not;
under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is 1, restoring the target self-learning value to the initial self-learning value through a preset step length;
and under the condition that the oxygen closed loop enabling state corresponding to the natural gas engine is not 1, keeping the target self-learning value unchanged.
5. The method of claim 4, wherein in the event of a failure of the natural gas engine start, the method comprises:
restoring the target self-learning value to the initial self-learning value.
6. The method of claim 1, wherein prior to controlling the natural gas engine start in accordance with the target self-learned value, the method further comprises:
and detecting whether a start request instruction of the natural gas engine is received.
7. The method of claim 4, wherein controlling the natural gas engine start in accordance with the target self-learned value comprises:
Acquiring the self-learning value of the target oxygen closed-loop correction factor and the self-learning value of the target natural gas quality factor;
correcting a first injection deviation of the natural gas engine according to the self-learning value of the target oxygen closed-loop correction factor, wherein the first injection deviation is an injection deviation caused by a second preset fault type of the natural gas engine, and the second preset fault type is at least one of the following: injection valve failure, injection valve aging, injection valve wear;
correcting a second injection deviation of the natural gas engine according to the self-learning value of the target natural gas quality factor, wherein the second injection deviation is an injection deviation caused by a third preset fault type of the natural gas engine, and the third preset fault type is at least one of the following: a fault caused by a fuel composition gas quality difference of the natural gas engine, and a fault caused by a fuel rail pressure difference of the natural gas engine;
and after correcting the first injection deviation and the second injection deviation, controlling the start of the natural gas engine.
8. A starting device for a natural gas engine, comprising:
A first determining unit, configured to determine a type of a start failure in case that it is determined that the natural gas engine has the start failure;
the second determining unit is configured to determine a target self-learning value corresponding to the natural gas engine when the type of the start fault is not a first preset fault type, where the target self-learning value at least includes a target oxygen closed-loop correction factor self-learning value and a target natural gas quality factor self-learning value, and the first preset fault type is any one of the following: the natural gas engine has a crankshaft and camshaft related fault, an ignition system related fault and an injection system related fault;
and the control unit is used for controlling the starting of the natural gas engine according to the target self-learning value.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored program, wherein the program when run controls a device in which the computer readable storage medium is located to perform a method of starting a natural gas engine according to any one of claims 1 to 7.
10. A processor for running a program, wherein the program when run performs a method of starting a natural gas engine as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210547232.3A CN115095433B (en) | 2022-05-19 | 2022-05-19 | Starting method and device of natural gas engine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210547232.3A CN115095433B (en) | 2022-05-19 | 2022-05-19 | Starting method and device of natural gas engine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115095433A CN115095433A (en) | 2022-09-23 |
| CN115095433B true CN115095433B (en) | 2023-10-20 |
Family
ID=83288768
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210547232.3A Active CN115095433B (en) | 2022-05-19 | 2022-05-19 | Starting method and device of natural gas engine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115095433B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6360733B1 (en) * | 1999-02-19 | 2002-03-26 | MAGNETI MARELLI S.p.A. | Self-adapting method of controlling the mixture ratio of an internal combustion engine injection system |
| CN106968812A (en) * | 2017-04-12 | 2017-07-21 | 潍柴西港新能源动力有限公司 | Natural gas engine butterfly valve type EGR control methods |
| CN107023413A (en) * | 2017-04-13 | 2017-08-08 | 东风商用车有限公司 | A kind of natural gas engine makings self study device and its application method |
| CN107420210A (en) * | 2017-07-18 | 2017-12-01 | 中国第汽车股份有限公司 | A kind of directly jetting gasoline engine gaseous mixture self-adaptation control method |
| CN108240261A (en) * | 2017-12-13 | 2018-07-03 | 重庆长安铃木汽车有限公司 | A kind of flexible fuel engine Gas Components Self-learning Controller and control method |
| CN108757194A (en) * | 2018-06-15 | 2018-11-06 | 潍柴西港新能源动力有限公司 | A kind of jet dynamic control gas concentration self-adaptation control method |
| CN109878522A (en) * | 2019-02-25 | 2019-06-14 | 潍柴西港新能源动力有限公司 | A kind of natural gas engine matching hybrid power start-up and shut-down control method |
| CN110685811A (en) * | 2019-09-26 | 2020-01-14 | 潍柴西港新能源动力有限公司 | Self-adaptive control method for fuel gas quality of natural gas engine |
| CN110735729A (en) * | 2019-12-20 | 2020-01-31 | 潍柴西港新能源动力有限公司 | Self-adaptive control method and system for fuel gas of natural gas engines |
| CN111502841A (en) * | 2020-04-23 | 2020-08-07 | 西南大学 | Self-adaptive control system and method for fuel of internal combustion generator set |
| CN113847151A (en) * | 2021-10-25 | 2021-12-28 | 一汽解放汽车有限公司 | Self-adaptive control method for fuel gas quality of natural gas engine |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002195075A (en) * | 2000-12-26 | 2002-07-10 | Isuzu Motors Ltd | Starting control method of engine |
| US6736120B2 (en) * | 2002-06-04 | 2004-05-18 | Ford Global Technologies, Llc | Method and system of adaptive learning for engine exhaust gas sensors |
| DE102004008891A1 (en) * | 2004-02-24 | 2005-09-08 | Robert Bosch Gmbh | Method for operating an internal combustion engine |
| US8527186B2 (en) * | 2010-09-08 | 2013-09-03 | Clean Air Power, Inc. | Method and apparatus for adaptive feedback control of an excess air ratio in a compression ignition natural gas engine |
| US9708993B2 (en) * | 2015-02-04 | 2017-07-18 | Ford Global Technologies, Llc | Method and system for exhaust catalyst warming |
| US10393712B2 (en) * | 2016-03-22 | 2019-08-27 | Cummins Inc. | Systems and methods using a gas quality sensor |
-
2022
- 2022-05-19 CN CN202210547232.3A patent/CN115095433B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6360733B1 (en) * | 1999-02-19 | 2002-03-26 | MAGNETI MARELLI S.p.A. | Self-adapting method of controlling the mixture ratio of an internal combustion engine injection system |
| CN106968812A (en) * | 2017-04-12 | 2017-07-21 | 潍柴西港新能源动力有限公司 | Natural gas engine butterfly valve type EGR control methods |
| CN107023413A (en) * | 2017-04-13 | 2017-08-08 | 东风商用车有限公司 | A kind of natural gas engine makings self study device and its application method |
| CN107420210A (en) * | 2017-07-18 | 2017-12-01 | 中国第汽车股份有限公司 | A kind of directly jetting gasoline engine gaseous mixture self-adaptation control method |
| CN108240261A (en) * | 2017-12-13 | 2018-07-03 | 重庆长安铃木汽车有限公司 | A kind of flexible fuel engine Gas Components Self-learning Controller and control method |
| CN108757194A (en) * | 2018-06-15 | 2018-11-06 | 潍柴西港新能源动力有限公司 | A kind of jet dynamic control gas concentration self-adaptation control method |
| CN109878522A (en) * | 2019-02-25 | 2019-06-14 | 潍柴西港新能源动力有限公司 | A kind of natural gas engine matching hybrid power start-up and shut-down control method |
| CN110685811A (en) * | 2019-09-26 | 2020-01-14 | 潍柴西港新能源动力有限公司 | Self-adaptive control method for fuel gas quality of natural gas engine |
| CN110735729A (en) * | 2019-12-20 | 2020-01-31 | 潍柴西港新能源动力有限公司 | Self-adaptive control method and system for fuel gas of natural gas engines |
| CN111502841A (en) * | 2020-04-23 | 2020-08-07 | 西南大学 | Self-adaptive control system and method for fuel of internal combustion generator set |
| CN113847151A (en) * | 2021-10-25 | 2021-12-28 | 一汽解放汽车有限公司 | Self-adaptive control method for fuel gas quality of natural gas engine |
Non-Patent Citations (3)
| Title |
|---|
| 天然气发动机EGR系统应用研究;张腾;韩文涛;田占勇;王林波;安宁;姚旺;;内燃机与动力装置(第04期);第84-89页 * |
| 天然气发动机点火正时的自适应控制策略研究;洪伟, 杨晓萍, 孙济美;内燃机学报(第05期);第438-440页 * |
| 天然气发动机自动启动系统;李君勤;石油机械(第04期);第58页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115095433A (en) | 2022-09-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8725391B2 (en) | Method for identifying an error function and in particular a drift of a rail pressure sensor in a common rail injection system | |
| CN113418655B (en) | Pressure difference sensor fault detection method and system, storage medium and electronic equipment | |
| US8090494B2 (en) | Electronic apparatus and program storage medium | |
| CN107339145B (en) | System and method for engine coolant system diagnostics | |
| EP1898077A2 (en) | Vehicle characteristics storing apparatus and method | |
| US9284904B2 (en) | Method and device for monitoring a high-pressure fuel system | |
| US20180223761A1 (en) | Method for recognizing a state of change of a fuel injector | |
| KR101356284B1 (en) | Method for the determination of rail pressure nominal value | |
| CN111140377B (en) | Method and device for detecting misloading of throttle valve, storage medium and electronic equipment | |
| CN110284960B (en) | Supercharger control method and device, storage medium and computer equipment | |
| CN115095433B (en) | Starting method and device of natural gas engine | |
| EP1978225A1 (en) | Fuel injection amount learning and controlling method | |
| US7134429B2 (en) | Method and device for controlling an internal combustion engine | |
| CN101922364B (en) | Engine control system | |
| CN110735729B (en) | Gas self-adaptive control method and system for natural gas engine | |
| KR20130140575A (en) | Method and device for adapting the torque of an internal combustion engine | |
| CN110925106A (en) | Control method and device of throttle valve of engine, electronic equipment and engine | |
| KR20210006629A (en) | Method and system for compensating fuel injection deviation | |
| CN105804879B (en) | Fuel enrichment correction method and vehicle engine | |
| JP2010112351A (en) | Engine testing apparatus | |
| CN114738130B (en) | Method and device for adjusting air-fuel ratio of engine | |
| CN111042934A (en) | Vehicle starting control method, device, equipment and storage medium | |
| RU2461726C2 (en) | Speed regulator operation monitoring method and device | |
| CN112714823A (en) | Learning method for learning an abundance correction of a cold engine | |
| KR102163792B1 (en) | Apparatus for detecting moisture content in engine oil and method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |