<p>An effective way to extract combustion parameters from a spark ignited engine is to measure the level of ionization. One way to do this is to use the spark plug as a sensor.</p><p>Until now this has been achieved by applying a DC voltage over the spark gap which causes an electrical field. The electrical field together with the ionization process gives cause to an ion current which can be measured and analyzed. Previous research suggests that it would be beneficial to replace the DC voltage with an AC voltage.</p><p>The focus in this thesis is on the hardware and how to best implement an AC voltage to the existing ion sensing system. Both simulation- and hardware models will be constructed. These models will be tested and analyzed to evaluate both benefits and drawbacks of an AC ion current sensing system.</p>

An effective way to extract combustion parameters from a spark ignited engine is to measure the level of ionization. One way to do this is to use the spark plug as a sensor. Until now this has been achieved by applying a DC voltage over the spark gap which causes an electrical field. The electrical field together with the ionization process gives cause to an ion current which can be measured and analyzed. Previous research suggests that it would be beneficial to replace the DC voltage with an AC voltage. The focus in this thesis is on the hardware and how to best implement an AC voltage to the existing ion sensing system. Both simulation- and hardware models will be constructed. These models will be tested and analyzed to evaluate both benefits and drawbacks of an AC ion current sensing system.

<p>Correlations between the coefficient of variations (COV) of ion current integrals and COV of indicated mean effective pressure (IMEP) are investigated. The investigations are made to see if there is a possibility to use ion sense technique for closed loop combustion control to maximize Exhaust Gas Recirculation (EGR) level with remaining combustion stability. The engine studied in this thesis is a stoichiometric natural gas engine with a three way catalyst working with different EGR levels. One way to increase the efficiency in a stoichiometric natural gas engine is to maximize the EGR level [3]. With a higher EGR level it is possible to open the throttle even further with a result of lower pumping losses. Also temperature losses to chamber walls will be smaller with high EGR levels. A closed loop system controlling the EGR valve against COV of IMEP around 5 % is used for this engine. For COV of flame peak integral in range from 0 to 15-20% of COV of IMEP a linear correlation was found for lambda less than 1.3. For COV of two peaks integral a linear correlation was found for the entire measured range. This correlation may not be used for a robust EGR control system due to a small increase of COV of ion integral and due to a high variance in COV of ion integral. Correlations are discussed for different ion integrals with different air/fuels ratios and EGR levels. A control strategy is also presented.</p>

Correlations between the coefficient of variations (COV) of ion current integrals and COV of indicated mean effective pressure (IMEP) are investigated. The investigations are made to see if there is a possibility to use ion sense technique for closed loop combustion control to maximize Exhaust Gas Recirculation (EGR) level with remaining combustion stability. The engine studied in this thesis is a stoichiometric natural gas engine with a three way catalyst working with different EGR levels. One way to increase the efficiency in a stoichiometric natural gas engine is to maximize the EGR level [3]. With a higher EGR level it is possible to open the throttle even further with a result of lower pumping losses. Also temperature losses to chamber walls will be smaller with high EGR levels. A closed loop system controlling the EGR valve against COV of IMEP around 5 % is used for this engine. For COV of flame peak integral in range from 0 to 15-20% of COV of IMEP a linear correlation was found for lambda less than 1.3. For COV of two peaks integral a linear correlation was found for the entire measured range. This correlation may not be used for a robust EGR control system due to a small increase of COV of ion integral and due to a high variance in COV of ion integral. Correlations are discussed for different ion integrals with different air/fuels ratios and EGR levels. A control strategy is also presented.

As legislações com restrições nos níveis de emissões de poluentes e a grande concorrência entre as montadoras fomentaram o desenvolvimento de sistemas mais eficientes de gerenciamento de motores a combustão interna. Entretanto, a falta de sensores que identifiquem as propriedades da combustão, e que sejam economicamente viáveis, dificulta o desenvolvimento de novos sistemas. Visando suprir parte dessas limitações, este trabalho propõe o uso do sensor de corrente iônica com duas finalidades: identificação dos fenômenos de combustão e detonação. Para identificação da combustão, atualmente é utilizado o sensor de fase instalado no motor, o que encarece o sistema de gerenciamento. Uma alternativa a este sensor seria utilizar a vela de ignição, já instalada dentro do cilindro do motor, como sensor de ionização da mistura ar/combustível durante a queima. Comparando a área sob a curva do sinal da corrente iônica durante a combustão com a área sob a curva durante a admissão, foi possível verificar que é viável a utilização do sinal da corrente iônica para substituição de uma funcionalidade do sensor de fase. Quanto à identificação do fenômeno da detonação, foi mostrado que o uso do sensor de corrente iônica possibilita a remoção do sensor de detonação. Para isso, foi realizada a correlação entre a energia de uma faixa de frequências dos harmônicos do sinal da corrente iônica com a energia do sinal proveniente do sensor de detonação. Dessa forma, este trabalho mostrou que é possível usar somente as velas de ignição, já presentes no veículo, como sensores. Além disso, os resultados positivos obtidos propiciam oportunidades para novas aplicações e novas pesquisas. / The laws that restrict pollutant emission levels and the competition among manufacturers fostered the development of more efficient internal combustion engine management systems. However, the lack of sensors to identify the properties of combustion, and which are economically viable, hinders the development of new systems. In order to address such limitations, this investigation proposes using the ionic current sensor with two purposes: identification of combustion and knock phenomena. The combustion identification is currently identified by the camshaft position sensor installed in the motor, which becomes more expensive for the management system. An alternative is using the spark plug, already installed inside the engine cylinder, such as ionization sensor of air/fuel mixture during combustion. Comparing the area under the curve of the ion current signal during combustion to the area under the curve during admission, it was found that it is feasible the use of ionic current signal to replace one feature of the camshaft position sensor. Concerning the identification of the knock phenomenon, it was shown that the use of the ionic current sensor allows the removal of the knock sensor. For this, the correlation between the energy signal in a frequency range of the ionic current harmonic with the energy of the signal from the knock sensor was performed Therefore, the use of spark plugs as sensors is very promising, in replacement to two existing sensors. Moreover, the positive results provide opportunities for new applications and researches.

As legislações com restrições nos níveis de emissões de poluentes e a grande concorrência entre as montadoras fomentaram o desenvolvimento de sistemas mais eficientes de gerenciamento de motores a combustão interna. Entretanto, a falta de sensores que identifiquem as propriedades da combustão, e que sejam economicamente viáveis, dificulta o desenvolvimento de novos sistemas. Visando suprir parte dessas limitações, este trabalho propõe o uso do sensor de corrente iônica com duas finalidades: identificação dos fenômenos de combustão e detonação. Para identificação da combustão, atualmente é utilizado o sensor de fase instalado no motor, o que encarece o sistema de gerenciamento. Uma alternativa a este sensor seria utilizar a vela de ignição, já instalada dentro do cilindro do motor, como sensor de ionização da mistura ar/combustível durante a queima. Comparando a área sob a curva do sinal da corrente iônica durante a combustão com a área sob a curva durante a admissão, foi possível verificar que é viável a utilização do sinal da corrente iônica para substituição de uma funcionalidade do sensor de fase. Quanto à identificação do fenômeno da detonação, foi mostrado que o uso do sensor de corrente iônica possibilita a remoção do sensor de detonação. Para isso, foi realizada a correlação entre a energia de uma faixa de frequências dos harmônicos do sinal da corrente iônica com a energia do sinal proveniente do sensor de detonação. Dessa forma, este trabalho mostrou que é possível usar somente as velas de ignição, já presentes no veículo, como sensores. Além disso, os resultados positivos obtidos propiciam oportunidades para novas aplicações e novas pesquisas. / The laws that restrict pollutant emission levels and the competition among manufacturers fostered the development of more efficient internal combustion engine management systems. However, the lack of sensors to identify the properties of combustion, and which are economically viable, hinders the development of new systems. In order to address such limitations, this investigation proposes using the ionic current sensor with two purposes: identification of combustion and knock phenomena. The combustion identification is currently identified by the camshaft position sensor installed in the motor, which becomes more expensive for the management system. An alternative is using the spark plug, already installed inside the engine cylinder, such as ionization sensor of air/fuel mixture during combustion. Comparing the area under the curve of the ion current signal during combustion to the area under the curve during admission, it was found that it is feasible the use of ionic current signal to replace one feature of the camshaft position sensor. Concerning the identification of the knock phenomenon, it was shown that the use of the ionic current sensor allows the removal of the knock sensor. For this, the correlation between the energy signal in a frequency range of the ionic current harmonic with the energy of the signal from the knock sensor was performed Therefore, the use of spark plugs as sensors is very promising, in replacement to two existing sensors. Moreover, the positive results provide opportunities for new applications and researches.

<p>Ion current sensing, where information about the combustion process in an SI-engine is gained by applying a voltage over the spark gap, is currently used to detect and avoid knock and misfire. Several researchers have pointed out that information on peak pressure location and air/fuel ratio can be gained from the ion current and have suggested several ways to estimate these parameters.</p><p>Here a simplified Bayesian approach was taken to construct a lowpass-like filter or estimator that makes use of prior information to improve estimates in crucial areas. The algorithm is computationally light and could, if successful, improve estimates enough for production use.</p><p>The filter was implemented in several variants and evaluated in a number of simulated cases. It was found that the proposed filter requires a number of trade-offs between variance, bias, tracking speed and accuracy that are difficult to balance. For satisfactory estimates and trade-off balance the prior information must be more accurate than was available.</p><p>It was also found that similar a task, constructing a general Bayesian estimator, has already been tackled in the area of particle filtering and that there are promising and unexplored possibilities there. However, particle filters require computational power that will not be available to production engines for some years. </p> / <p>Vid jonströmsmätning utvinns information om förbränningsprocessen i en bensinmotor genom att en spänning läggs över gnistgapet och den resulterande strömmen mäts. Jonströmsmätning används idag för knack- och feltändningsdetektion. Flera forskare har påpekat att det finns än mer information i jonströmmen, bl.a. om bränsleblandningen och cylindertrycket och har även föreslagit metoder för att utvinna och använda den informationen för skattning av dessa parametrar.</p><p>Här presenteras en förenklad Bayesisk metod i form av en lågpassfilter-liknande skattare som använder förkunskap till att förbättra estimat på relevanta områden. Algoritmen är beräkningsmässigt lätt och kan, om den är framgångsrik, leverera skattningar av förbränningsparametrar som är tillräckligt bra för att användas för sluten styrning av en bensinmotor.</p><p>Skattaren, eller filtret, implementerades i flera varianter och utvärderades i ett antal simulerade fall. Resultaten visade på att flera svåra avvägningar måste göras mellan förbättring i varians, avvikelse och följning eftersom förbättring i den ena ledde till försämring i de andra. För att göra dessa avvägningar och få goda skattningar krävs bättre förhandskunskap och mätdata än vad som var tillgängligt.</p><p>Bayesisk skattning är ett stort befintligt område inom statistik och signalbehandling och den mest generella skattaren är partikelfiltret som har många intressanta tillämpningar och möjligheter. De har hittills inte använts inom skattning av förbränningsparametrar och har således go potential för framtida utveckling. De är dock beräkningsmässigt tunga och kräver beräkningsresurser utöver vad som är tillgängliga i ett motorstyrsystem idag.</p>

Ion current sensing, where information about the combustion process in an SI-engine is gained by applying a voltage over the spark gap, is currently used to detect and avoid knock and misfire. Several researchers have pointed out that information on peak pressure location and air/fuel ratio can be gained from the ion current and have suggested several ways to estimate these parameters. Here a simplified Bayesian approach was taken to construct a lowpass-like filter or estimator that makes use of prior information to improve estimates in crucial areas. The algorithm is computationally light and could, if successful, improve estimates enough for production use. The filter was implemented in several variants and evaluated in a number of simulated cases. It was found that the proposed filter requires a number of trade-offs between variance, bias, tracking speed and accuracy that are difficult to balance. For satisfactory estimates and trade-off balance the prior information must be more accurate than was available. It was also found that similar a task, constructing a general Bayesian estimator, has already been tackled in the area of particle filtering and that there are promising and unexplored possibilities there. However, particle filters require computational power that will not be available to production engines for some years. / Vid jonströmsmätning utvinns information om förbränningsprocessen i en bensinmotor genom att en spänning läggs över gnistgapet och den resulterande strömmen mäts. Jonströmsmätning används idag för knack- och feltändningsdetektion. Flera forskare har påpekat att det finns än mer information i jonströmmen, bl.a. om bränsleblandningen och cylindertrycket och har även föreslagit metoder för att utvinna och använda den informationen för skattning av dessa parametrar. Här presenteras en förenklad Bayesisk metod i form av en lågpassfilter-liknande skattare som använder förkunskap till att förbättra estimat på relevanta områden. Algoritmen är beräkningsmässigt lätt och kan, om den är framgångsrik, leverera skattningar av förbränningsparametrar som är tillräckligt bra för att användas för sluten styrning av en bensinmotor. Skattaren, eller filtret, implementerades i flera varianter och utvärderades i ett antal simulerade fall. Resultaten visade på att flera svåra avvägningar måste göras mellan förbättring i varians, avvikelse och följning eftersom förbättring i den ena ledde till försämring i de andra. För att göra dessa avvägningar och få goda skattningar krävs bättre förhandskunskap och mätdata än vad som var tillgängligt. Bayesisk skattning är ett stort befintligt område inom statistik och signalbehandling och den mest generella skattaren är partikelfiltret som har många intressanta tillämpningar och möjligheter. De har hittills inte använts inom skattning av förbränningsparametrar och har således go potential för framtida utveckling. De är dock beräkningsmässigt tunga och kräver beräkningsresurser utöver vad som är tillgängliga i ett motorstyrsystem idag.

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