Multi-Objective Optimization of Diesel Engine Emissions and Fuel Economy using Genetic Algorithms and Phenomenological Model 2002-01-2778
In this paper, the simulation of the multi-objective optimization problem of a diesel engine is performed using the phenomenological model of a diesel engine and the genetic algorithm. The target purpose functions are Specific fuel consumption, NOx, and Soot. The design variable is a shape of injection rate. In this research, we emphasize the following three topics by applying the optimization techniques to an emission problem of a diesel engine. Firstly, the multiple injections control the objectives. Secondly, the multi-objective optimization is very useful in an emission problem. Finally, the phenomenological model has a great advantage for optimization. The developed system is illustrated with the simulation examples.
Citation: Hiroyasu, T., Miki, M., Kamiura, J., Watanabe, S. et al., "Multi-Objective Optimization of Diesel Engine Emissions and Fuel Economy using Genetic Algorithms and Phenomenological Model," SAE Technical Paper 2002-01-2778, 2002, https://doi.org/10.4271/2002-01-2778. Download Citation
T. Hiroyasu, M. Miki, J. Kamiura, S. Watanabe, H. Hiroyasu
Doshisha University, Kinki University
SAE Powertrain & Fluid Systems Conference & Exhibition
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