In this paper, a genetic-algorithm- (GA-) based method has been developed to determine the instantaneous
pressure in cylinders of internal combustion engines. Some parameters associated with a pressure curve in
each cylinder are optimized from two validated submodels which reproduce the engine behavior using a genetic
algorithm. In this process, the profile of both measured and modeled instantaneous angular speeds of the
engine are compared. According to a typical design of a genetic algorithm, different operators, such as the
selection process, crossover, and mutation, have been evaluated and applied over theoretical data. The best
results define the adopted GA structure, and it is applied to three different engines: single-cylinder diesel
engine(DE), three-cylinder spark ignition engine, and a 16-cylinder vee power plant diesel engine. This algorithm
makes it possible to estimate a good quality pressure profile in cylinders for any kind of engine (operation
basis and the number and disposition of cylinders), using indirect measurements and low-cost equipment.
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