1. Field of the Invention
The invention relates to engine control systems, and in particular to engine control systems for controlling the fueling system in a combustion engine.
2. Description of the Related Art
Engine control systems for controlling fueling in combustion engines often utilize fuel maps, such as shown in
In a typical engine, the lowest fuel consumption occurs at point A. This is the optimum operation point for the engine under heavy engine load conditions. As can be seen, the contour lines below point A have increased fueling requirements. However, if engine load conditions are light, then the optimum operating point is point B. The difference between point A and point B can be upwards of an eight percent difference in fuel economy and is further illustrated by example below.
Until recently, software and hardware technology were not capable of adjusting fuel flow based upon actual operating conditions. Fixed point operation was necessary, either point A or point B or some other fixed point, with the inherent trade offs in performance under all other operating conditions. Engines offered in the industry are currently available optimized at either point A or point B. Point A configured engines perform best under heavy load, but poorly when lightly loaded. Point B configured engines perform best when lightly loaded, but have poor fuel consumptions when heavily loaded. Such, fuel maps are often optimized for different operating conditions.
Engine parameters (e.g., A/F ratio, amount of fuel, etc.) currently are set for average conditions under which they operate. In other words, the engine is optimized for the average conditions that are predicted for its service and not for actual usage. This leads to compromises in engine fuel efficiency. The tendency is to optimize the engine to work at or near full load, which is represented by the published engine horsepower and torque curves. See
Operation around the full load line represents operating conditions such as heavy acceleration, high payload or traversing steep grades. However, conditions exist where light engine loads are encountered, such as some vehicle operations under less than full cargo, at low cruising speeds, or flat or downhill road grades. Under these conditions, fuel is wasted because the best operating point in the engine is not at the conditions the vehicle is experiencing. For example, the Mack® E7 ASET engine is optimized for operation at close to 100% load. Other engines, available in the Heavy Duty industry, may be optimized for partial load operation, such as when the vehicle is pulling less than a truckload of freight.
An engine using a fuel map that is optimized for 100% load operation may deliver better fuel economy under demanding conditions, such a mountainous terrain, than an engine using a fuel map optimized for partial load operation. Conversely, using a fuel map optimized for partial load operation may deliver better fuel economy over flat terrain than one would using a fuel map optimized for 100% load operation. The probability that an engine developed for one set of operating conditions would be mis-applied to another set of operating conditions, however, is high.
Fuel economy tests were run for two similar trucks under mountainous and flat operating conditions that illustrate this point. The first truck was a Mack® CH outfitted with an E7 engine optimized for 100% load operation, and the second truck was a competitor outfitted with a competitor engine optimized for partial load operation. In a first test, the Mack® and the competitor were operational under identical operating conditions on a mountainous route from Richmond, Va. to Lexington, Ky. along U.S. Interstate 64. During this test, the Mack® achieved 6.5 miles per gallon (mpg) while the competitor achieved 6.27 mpg—3.5% lower fuel consumption than the Mack®.
In a second test, the Mack® and the competitor were operational under identical operating conditions on a flat route from Richmond, Va. to Atlanta Ga. along U.S. Interstate 95. The engines of each of the trucks were running at partial load during this test, outputting only approximately 150 horse power (hp) out of a maximum rated output of 350 hp. During this test, the Mack® achieved 6.95 miles per gallon (mpg) while the competitor achieved 7.32 mpg—5.3% higher fuel economy than the Mack®.
As can be clearly seen from the experiment, the first and second trucks respectively out performed each other in the first and second tests. Thus, there is a need for improved engine control that does not depend upon a single fuel map or is not optimized for a single set of operating conditions.
The present invention includes a control system and methods for continuously adapting engine control parameters to optimize and adjust engine fuel consumption based upon all detectable vehicle and engine operating conditions. Engine fuel flow can be adjusted based on limitless factors, such as how hard the engine is requested to work, sensed driver commands, gross vehicle weight, road grade and road speed demand.
In one embodiment, a large number of fuel maps, tailored for each conceived condition, can be utilized to optimize engine fuel consumption based upon rapidly changing conditions. For example, a CD changer could be implemented for storing and retrieving fuel maps. In another embodiment, a fuel map or fuel maps may be used as a basis for calculating amount of fuel to be injected into the cylinder. However, the amount of fuel is adjusted in real time based on a plurality of vehicle and engine operating conditions. Alternatively, fuel maps may be calculated interactively “on the fly.”
When the operating point moves, the fuel map also moves to maintain the operation within the “sweet spot”, the point of Fuel Economy optimization, and the corresponding topography of the fuel map changes.
According to an embodiment in the present invention, a fuel control system for a combustion engine in a motor vehicle is provided. The fuel control system includes a plurality of sensors that measure a plurality of vehicle and engine operating conditions. The fuel control system also includes an electronic control module (ECM) coupled with a plurality of sensors and with a fuel system. The ECM is configured to receive measurements from the plurality of sensors and to adjust fueling parameters of the fuel system to optimize the operation of the combustion engine based on the measurements.
According to another embodiment in the present invention, a method of controlling the fuel system of a combustion engine in a vehicle is provided. The method includes a step of measuring a plurality of engine and vehicle operating conditions. Fueling parameters of the fuel system are adjusted based upon the measurements made in order to optimize the output power of the engine for maximum fuel efficiency.
According to another embodiment in the present invention, a control system for a fueling system of a combustion engine is provided. The control system includes sensing means for measuring a plurality of engine and vehicle conditions in real time. The control system also includes a fuel map that defines engine fueling parameters corresponding to engine operating conditions. The control system also includes a control module means for controlling the fueling parameters of the fueling system by selecting fueling parameters from the fuel map based on current engine operating conditions and adjusting the selected fueling parameters based on the plurality of engine and vehicle conditions measured by the sensing means.
Further applications and advantages of various embodiments of the present invention are discussed below with reference to the drawing figures.
While the present invention may be embodied in many different forms, a number of illustrative embodiments are described herein with the understanding that the present disclosure is to be considered as providing examples of the principles of the invention and such examples are not intended to limit the invention to preferred embodiments described herein and/or illustrated herein.
It is desirable that the performance of an engine be optimized for a variety of operating and load conditions under which it may operate. It is further desirable for the performance of an engine to be adaptable to a wide variety of road conditions under which it may operate. Finally, it is desirable for an engine to be optimizable to operate at maximum performance for all possible operating conditions. To that end, the present invention includes systems and methods for controlling a fuel system of a combustion engine, in real-time, based on engine and vehicle operating conditions.
Further, operating conditions can be deduced from other measurements. For example, road grade could be deduced from a combination of throttle position and road speed. If at a constant throttle and engine speed, there begins a deceleration, it could be inferred that a hill is being traversed.
ECM 102 is configured to receive data (i.e., measurements) from the plurality of sensors 404 to 412, access fueling data (e.g., fuel map data, brake power curve, etc.) stored on the memory unit 104, and control the various components of the combustion engine fueling system 402 associated with engine performance in order to optimize the operation of the combustion engine in real time, based on real time measurements, continuously and systematically.
For example, referring to
For example, ECM 102 could instantly measure GVW, vehicle speed, engine speed, the drivers fuel pedal (demand) and road grade and determine that, based upon the engines known characteristics, that a particular combination of fuel and air will achieve optimization of the engine at that instant, and accordingly control the turbo charger 302, fuel injection 304 and valve timing 312. The ECM 102 could include an algorithm or program that calculates “point A” of the Fuel Consumption Map, the point of optimization, based on the measured condition. For example, given a vehicle with a heavy payload traversing a hill, the ECM 102 shall calculate an optimum operating point close to the power curve, or near point A. As the vehicle ranges over the hill and starts to descend, the ECM 102 will recognize the decent and will recalculate the optimum point to move toward point B. Base on conditions, the engine could be controlled to operate at a higher or lower RPM for the road speed, with a particular air and fuel injection, in order to operate at maximum fuel efficiency.
In the next instant, if driver demand, road grade, or another condition changed, the ECM 102 would detect the change in vehicle and engine operating conditions and modify fueling parameters to optimize the engines performance for the next instance.
One skilled in the art will recognize that from the engine performance curve, such as that shown in
One skilled in the art will recognize that system 302-312 may also input measurements to the ECM 102 that can be used to control fueling.
ECM memory 104 can include the data necessary for creating fuel map “on the fly,” or alternatively, could include a large number of fuel maps, each of which are optimized for a certain condition. For example, based on instantaneous vehicle and engine conditions, the ECM 102 could select a fuel map from a plurality of fuel maps, each of which is optimized for the particular road and vehicle conditions. Fueling could then be performed based on the selected fuel map. In order to accommodate the amount required for a large number fuel maps, memory 104 could include a “juke box” or CD changer.
Alternatively, a single fuel map could be stored in the memory unit, ECM could be configured to obtain the fueling parameters from the fuel map and adjust the fueling parameters obtained from the fuel map based on the real time measurements from a plurality of sensors. For example, referring back to
In one embodiment of the present invention, a memory unit 104 could comprise a CD changer. Multiple fuel maps could be loaded in the software like discs in a CD changer. For example, ninety-nine separate fuel maps may be stored. The ECM 102 may calculate what conditions or which application the engine is operating under, such as mountainous terrain, flat terrain, high gross vehicle weight (GVW), or low GVW based upon inputs like turbocharger speed 302, injector delivery volume 304, engine speed 308, vehicle speed 310, or variable valve timing 312, as shown in
The ECM 102 then can select the appropriate “disc” or fuel map and load it to operate the engine. When application conditions change, a new disc could chosen by the changer and loaded. In practice, the various fuel maps may be stored in memory. If enough discs are available to drive efficient operation this approach will match fuel delivery to the engine operating conditions. It is recognized that this approach may be expensive because of the costs necessary to develop each of the fuel maps independently.
In another embodiment, the control system can adapt engine control parameters continuously and infinitely to adjust engine fuel consumption based upon the various operating conditions experienced by the vehicle. This embodiment is particularly applicable to a commercial vehicle.
The control system can continuously adjust the fuel flow based on limitless numbers of factors such as how hard the engine is required to work, driver commands or intent, the GVW of the vehicle, road grade, and road speed demanded.
In one embodiment, interactive real time adjustments of the fuel maps may be developed with the changes to “not to exceed limits” imposed by EPA. In this embodiment, software control may be improved because the fuel map may be calculated interactively or “on the fly”. This embodiment may require inputs from additional sensors and controls of other devices such as variable geometry turbochargers (which control engine airflow). In this embodiment, application optimization may be continuous and optimized under all conditions.
Thus, a number of preferred embodiments have been fully described above with reference to the drawing figures. Although the invention has been described based upon these preferred embodiments, it would be apparent to those of skilled in the art that certain modifications, variations, and alternative constructions would be apparent, while remaining within the spirit and scope of the invention.
This application is a National Phase of International Application Ser. No. PCT/US2004/038217, filed 17 Nov. 2004, which claims benefit of U.S. Provisional Application Ser. No. 60/520,651, filed 18 Nov. 2003.
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/US2004/038217 | 11/17/2004 | WO | 00 | 1/25/2007 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2005/049996 | 6/2/2005 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
4319327 | Higashiyama et al. | Mar 1982 | A |
4359991 | Stumpp et al. | Nov 1982 | A |
4379332 | Busser et al. | Apr 1983 | A |
4566068 | Iwasake et al. | Jan 1986 | A |
4630508 | Klatt | Dec 1986 | A |
4729354 | Tominaga et al. | Mar 1988 | A |
4730255 | Akiyama et al. | Mar 1988 | A |
4745553 | Raven et al. | May 1988 | A |
4964051 | Sekozawa et al. | Oct 1990 | A |
4984540 | Morikawa | Jan 1991 | A |
5023795 | Matsumura et al. | Jun 1991 | A |
5050084 | Nakaniwa | Sep 1991 | A |
5268842 | Marston et al. | Dec 1993 | A |
5319558 | Nemoto et al. | Jun 1994 | A |
5367462 | Klenk et al. | Nov 1994 | A |
5638790 | Minowa et al. | Jun 1997 | A |
5709196 | Coleman et al. | Jan 1998 | A |
5826563 | Patel et al. | Oct 1998 | A |
5832400 | Takahashi et al. | Nov 1998 | A |
5857445 | Shimada et al. | Jan 1999 | A |
5983156 | Andrews | Nov 1999 | A |
6151549 | Andrews et al. | Nov 2000 | A |
6340014 | Tomita et al. | Jan 2002 | B1 |
6701897 | Chatfield | Mar 2004 | B2 |
6705278 | McGee et al. | Mar 2004 | B2 |
6725825 | Kurtz et al. | Apr 2004 | B1 |
6755179 | Asakawa | Jun 2004 | B2 |
20040002806 | Belinger | Jan 2004 | A1 |
20040024518 | Boley et al. | Feb 2004 | A1 |
20040069281 | Corba | Apr 2004 | A1 |
Number | Date | Country | |
---|---|---|---|
20070272216 A1 | Nov 2007 | US |
Number | Date | Country | |
---|---|---|---|
60520651 | Nov 2003 | US |