The disclosure relates generally to detecting reversion based on mass air flow sensor readings, and more specifically, to detecting reversion based on real-time mass air flow sensor readings in an engine system.
A vehicle typically includes an engine with an air intake manifold and an air inlet, such that air flows into the intake manifold through the air inlet. Mass air flow sensors may be used to measure the mass of air flowing through the air inlet into the engine. Reversion is the reverse flow of air from the intake manifold back through the air inlet. Reversion may lead to unreliable mass air flow sensor readings.
An engine system includes a mass air flow sensor and a manifold absolute pressure sensor configured to provide a real-time manifold absolute pressure (MAP) signal during an event. The event may be an engine intake event. The mass air flow sensor is configured to generate a set of mass air flow readings based on an airflow through the mass air flow sensor during the event. The set of mass air flow readings has a maximum value and a minimum value. A controller is operatively connected to the mass air flow sensor and a manifold absolute pressure (MAP) sensor. The controller has a processor and tangible, non-transitory memory on which is recorded instructions for executing a method for detecting reversion in the air flow.
Execution of the instructions by the processor causes the controller to (i.e., the controller is configured to) determine whether a rate of change in the real-time MAP signal is greater than or equal to a predetermined transient threshold value (T0). If the rate of change in the real-time MAP signal is less than the predetermined transient threshold value (T0), the method includes setting a delta factor (D) as the difference between the maximum value and the minimum value. Reversion is detected based at least partially on a magnitude of the delta factor (D). The method requires calibration only for the individual mass air flow sensor rather than for each engine system. Thus each mass air flow sensor may be used with multiple engine systems with a single calibration.
The controller may be configured to set up a reversion zone flag (R) such that presence of the reversion is indicated by the reversion zone flag being one (R=1) and absence of the reversion is indicated by the reversion zone flag being zero (R=0).
If the delta factor (D) is greater than or equal to the entry threshold value for less than a first number of consecutive events, the controller is configured to make no change to the reversion zone flag. If the delta factor (D) is greater than or equal to the entry threshold value for at least the first number of consecutive events, the controller is configured to set the reversion zone flag to one (R=1).
If the delta factor (D) is less than or equal to the exit threshold value for less than a second number of consecutive events, the controller is configured to make no change to the reversion zone flag. If the delta factor (D) is less than or equal to the exit threshold value for at least the second number of consecutive events, the controller is configured to set the reversion zone flag to zero (R=0).
If the rate of change in time of the real-time MAP signal is greater than or equal to a predetermined transient threshold value (T0), the controller is configured to determine if a predefined open throttle condition is met. If the predefined open throttle condition is not met, the controller is configured to set the reversion zone flag to zero (R=0). The predefined open throttle condition may be defined by the throttle valve being greater than 90% open. The predefined open throttle condition may be defined by a pressure downstream of the throttle valve being 90% greater than a pressure upstream of the throttle valve. If the predefined open throttle condition is met, the controller is configured to set the delta factor (D) as the difference between the maximum value and the minimum value of the set of mass air flow readings.
The above features and advantages and other features and advantages of the present disclosure are readily apparent from the following detailed description of the best modes for carrying out the disclosure when taken in connection with the accompanying drawings.
Referring to the Figures, wherein like reference numbers refer to the same or similar components throughout the several views,
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The method 100 proceeds to block 102 where the controller 50 determines whether a change in the real-time MAP signal (i.e., rate of change in time) is greater than a predetermined transient threshold value (T0). As noted above, the manifold absolute pressure (MAP) sensor 34 is configured to provide a real-time MAP signal. An example for the transient threshold value (T0) is when the previous MAP signal or measurement is more than 5 kPa from the current MAP signal or measurement.
If the change in the real-time MAP signal is less than (or equal to) the transient threshold value (T0), the method 100 proceeds to block 104 of
After setting the delta factor (D) as the difference between the maximum value and the minimum value set of mass air flow (MAF) readings for each respective intake event per block 104 of
In block 112A of
If the delta factor (D) is greater than or equal to the entry threshold value (T1) for at least the first number of consecutive events (C1), the controller 50 is configured to set the reversion zone flag to one (R=1), as indicated in block 116. The first number of consecutive events (C1) may be set to any value as needed, per the application. In one example, the first number of consecutive events (C1) is three.
In block 106B of
In block 112B of
If the delta factor (D) is less than or equal to the exit threshold value (T2) for at least the second number of consecutive events (C2), the controller 50 sets the reversion zone flag to zero (R=0) in block 120, as indicated by line 118. The second number of consecutive events (C2) may be set to any value as needed per the application. In one example, the second number of consecutive events (C2) is four.
Referring now back to block 102, if the change in the real-time MAP signal is greater than or equal to the transient threshold value (T0), the method 100 proceeds to block 124, as indicated by line 122. In block 124, the controller 50 determines if a predefined open throttle condition (indicated in
In effect, when the engine 14 is in a transient state (i.e., the change in the real-time MAP signal is greater than the transient threshold value (T0)) as indicated by line 122, the method 100 takes into account whether a predefined open throttle condition is met (in block 124). However, when the engine 14 is not in a transient state, the method 100 may be carried out to determine the delta factor (D) as per block 104 (to investigate the maximum and minimum flow to see if reversion is happening) regardless of the throttle condition.
Referring to line 126 of
The entry and exit threshold values (T1, T2) in blocks 106A and 106B, respectively, depend on the characteristics of the particular mass air flow sensor being employed. The entry and exit thresholds values (T1, T2) may be determined by calibration. Referring to
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The exit threshold value (T2) may be selected to be a specific amount less than the entry threshold value (T1). In one example, the exit threshold value (T2) is selected to be about 10% less than the entry threshold value (T1). In one example, 10 grams per second is the entry threshold value (T1) and 8 grams per second is the exit threshold value (T2). In another example, 30 grams per second is the entry threshold value (T1) and 25 grams per second is the exit threshold value (T2).
In summary, the method 100 allows for real-time identification of regions where airflow pulsation and reversion is sufficient to result in erroneous readings from the mass air flow sensor 22. As described above, the method 100 detects airflow pulsation or sustained inter-event flow oscillations, measured by the mass air flow sensor 22, as an indication of reverse airflow. The method 100 detects the size of the oscillations and a calibration test is performed to determine what level of oscillation will produce an unreliable reading. Since method 100 is not dependent on the engine system 12, only one calibration test is needed for each mass air flow sensor 22. Since the same mass air flow sensor 22 may be used together with many different engine systems or vehicles, this may reduce the amount of calibrations required for each vehicle.
As noted above, the controller 50 of
A computer-readable medium (also referred to as a processor-readable medium) includes any non-transitory (e.g., tangible) medium that participates in providing data (e.g., instructions) that may be read by a computer (e.g., by a processor of a computer). Such a medium may take many forms, including, but not limited to, non-volatile media and volatile media. Non-volatile media may include, for example, optical or magnetic disks and other persistent memory. Volatile media may include, for example, dynamic random access memory (DRAM), which may constitute a main memory. Such instructions may be transmitted by one or more transmission media, including coaxial cables, copper wire and fiber optics, including the wires that comprise a system bus coupled to a processor of a computer. Some forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a RAM, a PROM, an EPROM, a FLASH-EEPROM, any other memory chip or cartridge, or any other medium from which a computer can read.
Look-up tables, databases, data repositories or other data stores described herein may include various kinds of mechanisms for storing, accessing, and retrieving various kinds of data, including a hierarchical database, a set of files in a file system, an application database in a proprietary format, a relational database management system (RDBMS), etc. Each such data store may be included within a computing device employing a computer operating system such as one of those mentioned above, and may be accessed via a network in any one or more of a variety of manners. A file system may be accessible from a computer operating system, and may include files stored in various formats. An RDBMS may employ the Structured Query Language (SQL) in addition to a language for creating, storing, editing, and executing stored procedures, such as the PL/SQL language mentioned above.
The detailed description and the drawings or figures are supportive and descriptive of the disclosure, but the scope of the disclosure is defined solely by the claims. While some of the best modes and other embodiments for carrying out the claimed disclosure have been described in detail, various alternative designs and embodiments exist for practicing the disclosure defined in the appended claims. Furthermore, the embodiments shown in the drawings or the characteristics of various embodiments mentioned in the present description are not necessarily to be understood as embodiments independent of each other. Rather, it is possible that each of the characteristics described in one of the examples of an embodiment can be combined with one or a plurality of other desired characteristics from other embodiments, resulting in other embodiments not described in words or by reference to the drawings. Accordingly, such other embodiments fall within the framework of the scope of the appended claims.
Number | Name | Date | Kind |
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6839643 | Kanke | Jan 2005 | B2 |
6990856 | Dempsey et al. | Jan 2006 | B2 |
20040250610 | Dempsey | Dec 2004 | A1 |
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08218934 | Aug 1996 | JP |
11083584 | Mar 1999 | JP |
Number | Date | Country | |
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20160237940 A1 | Aug 2016 | US |