TY - GEN
T1 - Reduction of Heavy Duty Diesel Engine Emission and Fuel Economy with Multi-Objective Genetic Algorithm and Phenomenological Model
AU - Hiroyasu, T.
AU - Miki, M.
AU - Kim, M.
AU - Watanabe, S.
AU - Hiroyasu, H.
AU - Miao, H.
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2004/3/8
Y1 - 2004/3/8
N2 - In this study, a system to perform a parameter search of heavy-duty diesel engines is proposed. Recently, it has become essential to use design methodologies including computer simulations for diesel engines that have small amounts of NOx and SOOT while maintaining reasonable fuel economy. For this purpose, multi-objective optimization techniques should be used. Multi-objective optimization problems have several types of objectives and they should be minimized or maximized at the same time. There is often a trade-off relationship between objects and derivation of the Pareto optimum solutions that express the relationship between the objects is one of the goals in this case. The proposed system consists of a multi-objective genetic algorithm (MOGA) and phenomenological model. MOGA has strong search capability for Pareto optimum solutions. However, MOGA requires a large number of iterations. Therefore, for MOGA, a diesel combustion simulator that can express combustion precisely with small calculation cost is essential. Phenomenological models can simulate diesel engine combustions precisely with small calculation cost. Therefore, phenomenological models are suitable for MOGA. In the optimization simulations, fuel injection shape, boost pressure, EGR rate, start angle of injection, duration angle of injection, and swirl ration were chosen as design variables. The values of these design variables were optimized to reduce SFC, NOx, and SOOT. Through the optimization simulations, the following five points were made clarified. First, the proposed system can find the Pareto optimum solutions successfully. Second, MOGAs are very effective to derive the solutions. Third, phenomenological models are very suitable for MOGAs, as they can perform precise simulations with small calculation cost. Fourth, multi-pulse injection shape can affect the amounts of SFC, NOx, and SOOT. Finally, parameter optimization is essential for in diesel engine design.
AB - In this study, a system to perform a parameter search of heavy-duty diesel engines is proposed. Recently, it has become essential to use design methodologies including computer simulations for diesel engines that have small amounts of NOx and SOOT while maintaining reasonable fuel economy. For this purpose, multi-objective optimization techniques should be used. Multi-objective optimization problems have several types of objectives and they should be minimized or maximized at the same time. There is often a trade-off relationship between objects and derivation of the Pareto optimum solutions that express the relationship between the objects is one of the goals in this case. The proposed system consists of a multi-objective genetic algorithm (MOGA) and phenomenological model. MOGA has strong search capability for Pareto optimum solutions. However, MOGA requires a large number of iterations. Therefore, for MOGA, a diesel combustion simulator that can express combustion precisely with small calculation cost is essential. Phenomenological models can simulate diesel engine combustions precisely with small calculation cost. Therefore, phenomenological models are suitable for MOGA. In the optimization simulations, fuel injection shape, boost pressure, EGR rate, start angle of injection, duration angle of injection, and swirl ration were chosen as design variables. The values of these design variables were optimized to reduce SFC, NOx, and SOOT. Through the optimization simulations, the following five points were made clarified. First, the proposed system can find the Pareto optimum solutions successfully. Second, MOGAs are very effective to derive the solutions. Third, phenomenological models are very suitable for MOGAs, as they can perform precise simulations with small calculation cost. Fourth, multi-pulse injection shape can affect the amounts of SFC, NOx, and SOOT. Finally, parameter optimization is essential for in diesel engine design.
KW - Diesel exhaust emissions
KW - Diesel / compression ignition engines
KW - Computer simulation
KW - Boost pressure
KW - Fuel economy
KW - Combustion processes
KW - Fuel injection
KW - Nitrogen oxides
KW - Optimization
KW - Particulate matter (PM)
UR - http://www.scopus.com/inward/record.url?scp=85072412344&partnerID=8YFLogxK
U2 - 10.4271/2004-01-0531
DO - 10.4271/2004-01-0531
M3 - Conference contribution
AN - SCOPUS:85072412344
SN - 0768013194
SN - 9780768013191
T3 - SAE Technical Papers
BT - 2004 SAE World Congress & Exhibition
PB - SAE International
T2 - 2004 SAE World Congress
Y2 - 8 March 2004 through 11 March 2004
ER -