Parameter setting method for intercooler simulation model based on improved particle swarm algorithm
A technology for improving particle swarm and parameter tuning, applied in the automotive field, can solve problems such as difficulty in tuning the throttle orifice of the intercooler, and achieve the effects of improving reliability, improving migration methods, and enhancing mutual learning capabilities.
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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0040] Such as figure 1 As shown, the execution process of the parameter setting method of the intercooler simulation model based on the improved particle swarm optimization algorithm of the present invention comprises the following steps:
[0041] Collect n groups of intercooler parameter data through bench experiments and actual measurements;
[0042] Build intercooler simulation model and simulation platform;
[0043] Establish an optimization ...
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