Date of Award

2018

Publication Type

Master Thesis

Degree Name

M.A.Sc.

Department

Electrical and Computer Engineering

Keywords

Corona Ignition System; Modelling

Supervisor

Chen, Xiang

Supervisor

Zheng, Ming

Rights

info:eu-repo/semantics/openAccess

Abstract

Modern emission regulations demand the reduction of nitrogen-oxide emissions significantly and this trend is likely to continue. Emission reduction and fuel efficiency improvement have become the prime objectives of the automobile industry today. One of the ways in which these objectives can be met is by using an ignition method that can enable the engine to run under highly lean conditions and high exhaust gas recirculation (EGR) rates. Corona ignition is a method of ignition which has demonstrated potential to achieve high fuel efficiency by enabling engine to operate under highly lean conditions and high exhaust gas recirculation (EGR) rates to reduce emissions. To achieve optimum performance of corona ignition system there is a need to describe system dynamics through modelling which can help in studying its electrical behavior. The primary objective of this work is to put forward a model of corona ignition system based on first principles. Tests were performed to study the behavior of the system with and without corona discharge. The various electrical parameters of the system were measured using an impedance analyzer. The effect of variation of electrical parameters affecting system behavior was also studied which can help in circuit design. The measured electrical parameters were then used in the physics based model of corona ignition system to simulate system behavior without corona discharge. The results obtained from the model and measurement were compared for model verification. It was observed that the model captured the trend of magnitude behavior of the system.

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