Advanced Microsystems for Automotive Applications 2000 2000
DOI: 10.1007/978-3-642-18146-7_11
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Ion Current Based Pressure Peak Detection Under Different Air Humidity Conditions

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Cited by 6 publications
(5 citation statements)
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“…These results were attained on a cycle-to-cycle prediction, with a sampling frequency of 1sample/2 o C.A., and without averaging nor information about important engine parameters such as coolant temperature, mass air flow, manifold absolute pressure etc and with relatively few "design" cycles. (Upwards of 50,000 cycles are normally used) [7,20,21]. Keeping in mind, that with a linear speed versus load table interpolation model, like the ones generally used in production vehicles today, the RMS error for PPP estimation is 3.3 C.A.…”
Section: Discussionmentioning
confidence: 99%
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“…These results were attained on a cycle-to-cycle prediction, with a sampling frequency of 1sample/2 o C.A., and without averaging nor information about important engine parameters such as coolant temperature, mass air flow, manifold absolute pressure etc and with relatively few "design" cycles. (Upwards of 50,000 cycles are normally used) [7,20,21]. Keeping in mind, that with a linear speed versus load table interpolation model, like the ones generally used in production vehicles today, the RMS error for PPP estimation is 3.3 C.A.…”
Section: Discussionmentioning
confidence: 99%
“…The ion recombination rate increases, and the measured ion-current signal starts to decline. This third phase of the ion-current signal is a post-flame or thermal ionization induced signal [5,6,7,8,9,10], and it is proportional to the cylinder pressure produced by combustion. Figure 1 Typical ion-current signal (and pressure signal) recorded by a central plug [2] There are some problems associated with using the spark plug as the ion-current sensor.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the results of the peak-finding algorithm are compared to those produced by: 1. The Gaussian fit model presented in [3]. 2. The MLP model presented in [4]. Accordingly, the estimates of the latter algorithms are also low pass filtered.…”
Section: Methodsmentioning
confidence: 99%
“…However, the drawback of the algorithm is the storage needed for the parameters of the model and the preprocessing stage corresponding to approximately 1 kilobyte. For further reading see [4].…”
Section: The Mlp Modelmentioning
confidence: 99%
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