The present disclosure relates to internal combustion engines, and more particularly to adaptively estimating a barometric pressure of an environment, within which an internal combustion is present.
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
Internal combustion engines combust a fuel and air mixture to produce drive torque. More specifically, air is drawn into the engine through a throttle. The air is mixed with fuel and the air and fuel mixture is compressed within a cylinder using a piston. The air and fuel mixture is combusted within the cylinder to reciprocally drive the piston within the cylinder, which in turn rotationally drives a crankshaft of the engine.
Engine operation is regulated based on several parameters including, but not limited to, intake air temperature (TPRE), manifold absolute pressure (MAP), throttle position (TPS), engine RPM and barometric pressure (PBARO). With specific reference to the throttle, the state parameters (e.g., air temperature and pressure) before the throttle are good references that can be used for engine control and diagnostic. For example, proper functioning of the throttle can be monitored by calculating the flow through the throttle for a given throttle position and then comparing the calculated air flow to a measured or actual air flow. As a result, the total or stagnation air pressure before the throttle (i.e., the pre-throttle air pressure) is critical to accurately calculate the flow through the throttle. Alternatively, the total pressure and/or static pressure can be used to monitor air filter restriction.
Traditional internal combustion engines include a barometric pressure sensor that directly measures the PBARO. However, such additional hardware increases cost and manufacturing time, and is also a maintenance concern because proper operation of each sensor must be monitored and the sensor must be replaced if not functioning properly.
Accordingly, the present invention provides a method of determining a barometric pressure of atmosphere, in which an internal combustion engine of a vehicle is located. The method includes monitoring operating parameters of the internal combustion engine and the vehicle, determining a healthy status of an air filter of the internal combustion engine, and calculating the barometric pressure based on the operating parameters and the healthy status of the air filter.
In one feature, the method further includes determining a drag coefficient based on at least one of the operating parameters and the healthy status. The barometric pressure is calculated based on the drag coefficient.
In other features, the method further includes determining whether at least one of the operating parameters is less than a corresponding threshold. The healthy status of the air filter is determined based on a known barometric pressure if the at least one of the operating parameters is not less than the corresponding threshold. The at least one operating parameter includes a time difference between update times of the barometric pressure. The at least one operating parameter includes a travel distance of the vehicle.
In still other features, the healthy status is determined based on a pre-throttle inlet pressure. The pre-throttle inlet pressure is determined based on an intake air temperature. Alternatively, the pre-throttle inlet pressure is monitored using a sensor.
In yet another feature, the operating parameters comprise a mass air flow, an intake cross-sectional area, an air density and a pre-throttle inlet pressure.
Further areas of applicability will become apparent from the description provided herein. It should be understood that the description and specific examples are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure.
The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way.
The following description of the preferred embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses. For purposes of clarity, the same reference numbers will be used in the drawings to identify similar elements. As used herein, the term module refers to an application specific integrated circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group) and memory that execute one or more software or firmware programs, a combinational logic circuit, or other suitable components that provide the described functionality.
Referring now to
A control module 30 regulates engine operation based on a plurality of engine operating parameters including, but not limited to, a pre-throttle static pressure (PPRE), a pre-throttle stagnation pressure (PPRE0) (i.e., the air pressures upstream of the throttle), an intake air temperature (TPRE), a mass air flow (MAF), a manifold absolute pressure (MAP), an effective throttle area (AEFF), an engine RPM and a barometric pressure (PBARO). PPRE0 and PPRE are determined based on a pre-throttle estimation control, which is disclosed in commonly assigned, co-pending U.S. patent application Ser. No. 11/464,340, filed Aug. 14, 2006.
TPRE, MAF, MAP and engine RPM are determined based on signals generated by a TPRE sensor 32, a MAF sensor 34, a MAP sensor 36 and an engine RPM sensor 38, respectively, which are all standard sensors of an engine system. AEFF is determined based on a throttle position signal that is generated by a throttle position sensor, which is also a standard sensor. A throttle position sensor 42 generates a throttle position signal (TPS). The relationship between AEFF to TPS is pre-determined using engine dynamometer testing with a temporary stagnation pressure sensor 50 (shown in phantom in
The PBARO estimation control of the present disclosure estimates PBARO without the use of a barometric pressure sensor. More specifically, in the air intake system, the mass air flow (MAF) or {dot over (m)} can be treated as an incompressible flow before the throttle. Accordingly, {dot over (m)} can be determined based on the following relationship:
{dot over (m)}=Cd·AINLET·√{square root over (2·ρ·(PBARO−PPRE))} (1)
where:
Cd can be determined as a function of {dot over (m)} and an air filter healthy status (AFHS). The AFHS is a variable that indicates the degree to which the air filter is dirty. A clean air filter enables a minimally restricted air flow therethrough, while a dirty air filter more significantly restricts the air flow therethrough. The learning of AFHS can be independent of barometric conditions and can be updated within the control module 30. The AFHS can be determined based on one of the following relationships:
where t is a current time of a measured flow rate and t−1 is a previous time of another measured flow rate. PPRE can be either physically measured or calculated from throttle flow dynamics. AFHS is learned using minimum resources. More specifically, AFHS is event-based calculated using a known PBARO, but is a more slowly updated variable than a time-based calculation of PBARO. For example, the values of (PBARO−PPRE)t and (PBARO−PPRE)t-1 can be determined over a long time period provided that the value ({dot over (m)}t−{dot over (m)}t-1) (Δ{dot over (m)}) is greater than a threshold value (Δ{dot over (m)}THR). Further, PBAROt and PBAROt-1 can be different in this case.
Under limited operating conditions, the AFHS can be determined based on the following relationship:
For example, if the difference between time steps (Δt) is less than a threshold difference (ΔtTHR) and the vehicle travel distance (Δd) is less than a threshold difference (ΔdTHR) (i.e., the vehicle does not move too far), it can be assumed that any change in PBARO is negligible.
Referring now to
Referring now to
The AND module 304 generates a signal indicating the manner in which AFHS is to be calculated based on the outputs of the first, second and third comparator modules 300, 302, 303. For example, if the first comparator module 300 indicates that Δt is less than ΔtTHR and the second comparator module 302 indicates that Δd is less than ΔdTHR, the signal generated by the AND module 304 indicates that AFHS is to be determined based on PPRE and MAF. If, however, the first comparator module 300 indicates that Δt is not less than ΔtTHR or the second comparator module 302 indicates that Δd is not less than ΔdTHR, the signal generated by the AND module 304 indicates that AFHS is to be determined based on PPRE, MAF and a known PBARO. The third comparator module 303 determines whether Δ{dot over (m)} is greater than Δ{dot over (m)}THR and outputs a corresponding signal to the AFHS module 306.
The AFHS module 306 determined AFHS based on MAF, PPRE and a known PBARO, depending upon the output of the AND module 304. The Cd module 308 determines Cd based on AFHS and MAF. The PBARO update module 310 updates PBARO based on Cd, MAF and PPRE. The engine can be subsequently operated based on the updated PBARO.
Those skilled in the art can now appreciate from the foregoing description that the broad teachings of the present invention can be implemented in a variety of forms. Therefore, while this invention has been described in connection with particular examples thereof, the true scope of the invention should not be so limited since other modifications will become apparent to the skilled practitioner upon a study of the drawings, the specification and the following claims.
Number | Name | Date | Kind |
---|---|---|---|
4926335 | Flowers et al. | May 1990 | A |
5136517 | Cullen et al. | Aug 1992 | A |
5604306 | Schricker | Feb 1997 | A |
5631412 | Tomisawa | May 1997 | A |
5714683 | Maloney | Feb 1998 | A |
6016460 | Olin et al. | Jan 2000 | A |
6366847 | Sun et al. | Apr 2002 | B1 |
6430515 | Sanyal et al. | Aug 2002 | B1 |
6445996 | Corbeels et al. | Sep 2002 | B1 |
6834542 | Aschner et al. | Dec 2004 | B2 |
6944530 | Russell et al. | Sep 2005 | B2 |
6990856 | Dempsey et al. | Jan 2006 | B2 |
7293452 | Vibert et al. | Nov 2007 | B2 |
7379801 | Heffington | May 2008 | B2 |
7441449 | Wang et al. | Oct 2008 | B2 |
7444234 | Bauerle | Oct 2008 | B2 |
7509845 | Wiggins et al. | Mar 2009 | B2 |
20080183366 | Bauerle | Jul 2008 | A1 |
20080190177 | Wiggins et al. | Aug 2008 | A1 |
20080223123 | Wang et al. | Sep 2008 | A1 |
Number | Date | Country | |
---|---|---|---|
20090025469 A1 | Jan 2009 | US |