Multivariable optimisation of a homogeneous charge microwave ignition system

Lutz Christoph Schoning, Yun Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

This paper attempts to address fundamental issues facing Internal Combustion Engines (ICEs) such as relatively low energy efficiency and high exhaust emissions. In particular, electromagnetic optimisation for Homogeneous Charge Microwave Ignition (HCMI) system is studied, aiming to combine the advantages of a Spark Ignition with those of a Compression Ignition system. Computational simulations of a HCMI system are carried out with three dimensional results of multi-variate changes, where the high computational load precludes a conventional iterative Computer-Aided Design process. Electromagnetic fields inside the combustion changer of the ICE are therefore optimised with a number of candidate antenna designs using various optimisation algorithms, including the Genetic Algorithm and the Nelder-Mead search algorithm. Interfaced with the Finite Element simulation software COMSOL that is used to model the engine cavity, these two a posteriori optimisation techniques are shown to be able to optimise specific system designs, with merits and drawbacks of the individual optimisation methods compared.

Original languageEnglish
Title of host publicationICAC 2013 - Proceedings of the 19th International Conference on Automation and Computing
Subtitle of host publicationFuture Energy and Automation
Pages203-207
Number of pages5
Publication statusPublished - 13 Sep 2013
Event19th International Conference on Automation and Computing, ICAC 2013 - London, United Kingdom
Duration: 13 Sep 201314 Sep 2013

Conference

Conference19th International Conference on Automation and Computing, ICAC 2013
CountryUnited Kingdom
CityLondon
Period13/09/1314/09/13

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Keywords

  • computer automated design
  • evolutionary algorithm
  • finite element Method
  • Homogeneous charge microwave ignition
  • internal combustion engine
  • Nelder-Mead

Cite this

Schoning, L. C., & Li, Y. (2013). Multivariable optimisation of a homogeneous charge microwave ignition system. In ICAC 2013 - Proceedings of the 19th International Conference on Automation and Computing: Future Energy and Automation (pp. 203-207). [6662038]