| 1. |
- Blomqvist, Daniel, et al.
(författare)
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Different Strategies for Transient Control of the Air-Fuel Ratio in a SI Engine
- 2000
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Ingår i: SAE transactions : journal of fuels and lubricants. - Warrendale, Pa. : Society of automotive engineers (SAE). - 0768008433
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Konferensbidrag (refereegranskat)abstract
- This paper compares several strategies for air-fuel ratio tran-sient control. The strategies are: A factory-standard look-up table based system (a SAAB Trionic 5), a feedback PI controller with and without feed-forward throttle correction, a linear feed-forward control algorithm, and two nonlinear feed- forward algorithms based on artificial neural networks. The control strategies have been implemented and evaluated in a SAAB 9000 car during a transient driving test, consisting of an acceleration in the second gear from an engine speed of 1500 rpm to 3000 rpm. The best strategies are found to be the neural network based ones, followed by the table based factory system. The two feedback PI controllers offer the poorest performance.
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| 2. |
- Hellring, Magnus, et al.
(författare)
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Ion current based pressure peak detection under different air humidity conditions
- 2000
-
Ingår i: Advanced Microsystems for Automotive Applications 2000. - New York : Springer. - 3540670874 ; , s. 125-138
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- A model based soft sensor that estimates the location of the in-cylinder pressure peak from the ion current is described. The soft sensor uses a neural network algorithm and has been implemented in a SAAB 9000 low-pressure turbo production car. It estimates the pressure peak location, in real time, during normal highway driving with an error of 2-3 crank angle degrees. The soft sensor has been tested during normal Scandinavian weather conditions, with a relative air humidity of about 50%, as well as when water is sprayed into the intake manifold, resulting in approximately 100% relative humidity. The neural network based soft sensor is significantly better than that of another method, based on nonlinear Gaussian curve fits, for the same task.
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