US5014550A
Expired / Lapsed
US
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Method of processing mass air sensor signals
Assignee: Motors Liquidation Co
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Filing: 1990-05-03
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Granted: 1991-05-14
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Expires: 2010-05-03
Abstract
Abstract A mass air flow meter has a time lag which varies according to the air flow rate. A digital filtering method enhances the raw meter output signal by calculating a correction term based on varying time constants which are dependent on the instantaneous raw signal. The correction term is added to the raw signal. Alternatively first and second order time constants are used to calculate first and second order correction terms.
Inventors
- 👤 Gregory P. Gee
- 👤 Edward J. Martin
- 👤 David P. Prawdzik
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-01 02:37
CPC Classifications
G; G01; G01F; G01F15/00; G01F15/02; G01F15/04; G01F15/043; G01F15/046; G01F1/00; G01F1/72
Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
91 words
In an automotive vehicle, the method of processing the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal, periodically sampling the signal to obtain sampled flow values and using each sampled flow value as an input, determining the filter time constants for each input, and calculating an output for each input as a function of the input values and the filter time constants for each input, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 2
Dependent Claim
91 words
In an automotive vehicle, the method of processing the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal, periodically sampling the signal to obtain sampled flow values and using each sampled flow value as an input, determining the filter time constants for each input, and calculating an output for each input as a function of the input values and the filter time constants for each input, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 3
Dependent Claim
110 words
In an automotive vehicle, the method of processing the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal, periodically sampling the signal at a sampling rate to obtain sampled flow values and using each sampled flow value as an input, determining the filter time constants for each input, calculating an error term as a function of the difference between successive inputs, the sampling rate, and the time constants, and calculating an output for each input as a function of the input and the error term, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 4
Dependent Claim
110 words
In an automotive vehicle, the method of processing the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal, periodically sampling the signal at a sampling rate to obtain sampled flow values and using each sampled flow value as an input, determining the filter time constants for each input, calculating an error term as a function of the difference between successive inputs, the sampling rate, and the time constants, and calculating an output for each input as a function of the input and the error term, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 5
Dependent Claim
122 words
In an automotive vehicle, the method of digitally filtering the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal and storing the constants in a table, periodically sampling the signal at a sampling rate to obtain sampled flow values and using each sampled flow value as an input, for each input, looking up the time constants in the table and calculating an error term as a function of the difference between successive inputs, the sampling rate, and the time constants, and calculating an output for each input as a function of the input and the error term, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 6
Dependent Claim
122 words
In an automotive vehicle, the method of digitally filtering the signal from a mass air flow sensor comprising: establishing filter time constants as a function of the signal and storing the constants in a table, periodically sampling the signal at a sampling rate to obtain sampled flow values and using each sampled flow value as an input, for each input, looking up the time constants in the table and calculating an error term as a function of the difference between successive inputs, the sampling rate, and the time constants, and calculating an output for each input as a function of the input and the error term, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 7
Dependent Claim
64 words
The invention as defined in claim 3 wherein the time constants are a=(2/T)/(w+b 2/T) and c=(-w+2/T)/(w+2/T) where w is a meter time constant for a given signal value and T is the sampling period, and the error term is a*(delta input)+c*error where "delta input" is the current input less the previously sampled input and "error" is the calculated error term for the previous sample.
Claim 8
Dependent Claim
26 words
The invention as defined in claim 4 wherein the output is calculated as the input plus the product of a gain constant and the error term.
Claim 9
Dependent Claim
151 words
In an automotive vehicle, the method of digitally filtering the signal from a mass air flow sensor comprising: establishing first order and second order time constants as a function of the signal and storing the constants in a table, periodically sampling the signal and using each sampled value as an input, looking up the time constants for each input in the table, calculating a first order error term as a function of the difference between successive inputs, the sampling rate, and the first order time constants, calculating a second order error term as a function of the difference between successive inputs, the sampling rate, and the second order time constants, establishing a gain for each error term, and calculating an output for each input as the input plus each error term times its respective gain, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
Claim 10
Dependent Claim
151 words
In an automotive vehicle, the method of digitally filtering the signal from a mass air flow sensor comprising: establishing first order and second order time constants as a function of the signal and storing the constants in a table, periodically sampling the signal and using each sampled value as an input, looking up the time constants for each input in the table, calculating a first order error term as a function of the difference between successive inputs, the sampling rate, and the first order time constants, calculating a second order error term as a function of the difference between successive inputs, the sampling rate, and the second order time constants, establishing a gain for each error term, and calculating an output for each input as the input plus each error term times its respective gain, whereby the outputs more nearly represent the actual mass air flow rate than does the signal.
References Cited (Backward Citations)
US4850218A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1994-05-13 | 1994-11-12 | 1995-05-14 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1998-05-13 | 1998-11-12 | 1999-05-14 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2002-05-13 | 2002-11-12 | 2003-05-14 | $7700.00 | Window Closed / Lapsed |