Misfire detection in an internal combustion engine

• US 6,885,932 B2
• Filed: 08/08/2003
• Issued: 04/26/2005
• Est. Priority Date: 08/08/2003
• Status: Expired due to Fees

• Current Assignee: Continental Automotive Systems, Inc. (Continental AG)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Yang, Hanlong, Naber, Jeffrey D., Gilbert, Richard J., Kultgen, Donald P., Liu, Louis Yizhang
• Primary Examiner(s): Wolfe, Willis R.
• Assistant Examiner(s): Hoang, Johnny H.
• Application Number:
  US10/637,121
• Publication Number:
  US 20050033501A1
• Time in Patent Office: 627 Days
• Field of Search: 701/103, 701/104, 701/111, 701/114, 123/179.17, 123/480, 123/445, 123/357, 123/364, 123/406.14, 123/406.16, 123/406.27, 123/406.29, 123/406.58, 123/406.62, 731/16, 731/172, 731/173, 731/181
• US Class Current: 701/103
• CPC Class Codes: G01M 15/11 by detecting misfire

Abstract

A method and system for a misfire detection acquires (301) a series of acceleration data (302) representative of acceleration behavior of an engine. The data is sampled (304) to obtain acceleration data samples at a rate sufficient to obtain up to fourth-order perturbations of the data. The samples are filtered (322) to provide bandwidth limited samples, which are provided to at least two channels (325, 329). The samples are pattern matched (332) in a first channel to enhance harmonic phenomena and pattern canceled (330) in a second channel to enhance random phenomena. Hard and random misfires are detected (334) dependent on a magnitude of the filtered acceleration data samples. Preferably, a third channel (335) is added to detect multiple misfires.

Claims

1. A method for detecting misfires of cylinders of a reciprocating internal combustion engine, the method comprising the steps of:

predefining an fueled acceleration profile for a normal operation of the engine;

acquiring a series of acceleration data representative of acceleration behavior of the reciprocating engine using a central difference algorithm;

sampling the data to obtain acceleration data samples at a rate sufficient to obtain up to fourth-order perturbations of the acceleration data;

correcting the samples using the fueled acceleration profile;

filtering the samples to provide bandwidth limited samples;

providing the samples to at least two channels;

pattern matching the samples in the first channel to enhance harmonic phenomena and reduce random phenomena;

pattern canceling the samples in the second channel to enhance random phenomena and reduce harmonic phenomena; and

detecting misfires dependent on a magnitude of the filtered acceleration data samples.

2. A method in accordance with claim 1, wherein the step of predefining a fueled acceleration profile includes adapting the fueled acceleration profile as a function of speed and load.

3. A method in accordance with claim 1 further comprising a second filtering step for each channel, wherein the second filtering step includes highpass filtering the samples nonlinearly to reduce signals less than order 0.5.

4. A method in accordance with claim 1, wherein the acquiring step includes calculating acceleration from velocity information using the central difference algorithm that takes a difference between an earlier velocity sample and a later velocity sample, wherein an i^th acceleration sample is determined from velocity sample as follows

acceleration₁=v_i+1−

v<sub>i−

1</sub>

such that the acceleration is a function of the change in velocity with phase.

5. A method in accordance with claim 1, further comprising the step of weighting and integrating the acceleration samples over an arbitrary crankshaft rotational angle of any width including fractional samples.

6. A method in accordance with claim 5, including a substep of decimating the samples to a lower rate that is not necessarily an integer factor of the sample rate utilizing linear interpolation.

7. A method in accordance with claim 1, wherein the detecting step includes shifting time-weighted trimmed-median acceleration samples from a sorted center value to one of an average and median value dependent upon detected misfires.

8. A method in accordance with claim 1, wherein the providing step includes providing three channels and the pattern matching step includes pattern matching cyclically sampled data to enhance detection of hard misfires in the first channel an using different pattern matching for sampled data to enhance detection of multiple misfires in the third channel.

9. A method in accordance with claim 2, wherein the fueled acceleration profile is bandwidth limited to reduce DC signals and signals with an order greater than second order.

10. A method in accordance with claim 1, wherein the sampling step includes determining one or more of the group of:

work, power, torque, and indicated mean effective pressure (IMEP).

11. A method for detecting misfires of cylinders of a reciprocating internal combustion engine, the method comprising the steps of:

predefining a fueled acceleration profile for a normal operation of the engine and a non-fueled correction profile;

acquiring a series of acceleration data representative of acceleration behavior of the

reciprocating engine using a central difference algorithm at each sample that takes a

difference between an earlier velocity sample and a later velocity sample;

oversampling the data to obtain acceleration data samples at a rate sufficient to obtain up to fourth-order perturbations of the acceleration data;

adapting the fueled acceleration profile as a function of speed and load;

correcting the samples using the fueled correction profile and the non-fueled correction profile;

filtering the samples with a variable order finite-impulse response to provide bandwidth limited samples;

providing the sales to at least two channels;

highpass filtering the samples non-linearly in each channel;

pattern matching the samples in the first channel to enhance harmonic phenomena and reduces random phenomena for detecting hard misfires;

pattern canceling the samples in the second channel to enhance random phenomena and reduces harmonic phenomena for detecting random misfires; and

detecting misfires dependent on a magnitude of the filtered acceleration data samples.

12. A method in accordance with claim 11, wherein the second filtering step filters each a to reduce signal less than order 0.5.

13. A method in accordance with claim 11, the reducing step includes calculating acceleration from velocity information using the central difference algorithm at each sample to takes a difference between an earlier velocity sample and a later velocity sample, wherein an i^th acceleration sample is determined from velocity samples as follows

acceleration₁v_i+1−

v<sub>1−

1</sub>

such that the acceleration is a function of the change in velocity with respect to phase.

14. A method in accordance with claim 11, further comprising the step of weighting and integrating the acceleration samples over an arbitrary crankshaft rotational angle of any width including fractional samples and decimating the samples to a lower rate that is not necessarily an integer factor of the sample rate utilizing linear interpolation.

15. A method in accordance with claim 11, wherein the detecting step includes shifting time-weighted trimmed-median acceleration samples from a sorted center value to one of an average and median value dependent upon detected misfires.

16. A method in accordance with claim 11, wherein the providing step includes providing three channels and the pattern matching step includes pattern matching cyclically sampled data to enhance detection of multiple misfires in the third channel.

17. A misfire detection system for a reciprocating internal combustion engine, the system comprising:

acceleration measurement means for acquiring a series of acceleration data representative of acceleration behavior of the reciprocating engine using a central difference algorithm;

means for sampling the data to obtain acceleration data samples at a rate sufficient to obtain up to fourth-order perturbations of the acceleration data;

means for filtering the samples to provide bandwidth limited samples;

means for pattern matching the samples to enhance harmonic phenomena over random phenomena;

means for pattern canceling the samples in the second channel to enhance random phenomena over harmonic phenomena; and

means for detecting misfires dependent on a magnitude of the filtered acceleration data samples.

18. A system in accordance with claim 17, further comprising means for weighting and integrating the acceleration samples over an arbitrary crankshaft rotational angle of any width including fractional samples.

19. A system in accordance with claim 18, including means for decimating the samples to a lower rate that is not necessarily an integer factor of the sample rate utilizing linear interpolation.

20. A system in accordance with claim 17 wherein the means for detecting include means for shifting time-weighted trimmed-median acceleration samples from a sorted center value to one of an average and median value dependent upon detected misfires.

21. A system in accordance with claim 17, wherein the means for path matching include a separate pattern matching for the sampled data to enhance detection of multiple misfires.

22. A system in accordance with claim 17, wherein the means for sampling included determining one or more of the group of:

work, power, torque, and indicated mean effective pressure (IMEP).