Multi-objective optimization method for design and development of diesel vehicle postprocessor

Abstract

The invention relates to a multi-objective optimization method for design and development of a diesel vehicle postprocessor. The method comprises the following steps: determining a design variable; determining a sub-objective function; normalizing the sub-objective function fi (x) corresponding to each design variable to obtain each normalized sub-objective function; determining constraint conditions; correspondingly giving a corresponding weighting factor omega i according to the importance degree of each design variable in the design and development of the postprocessor, wherein omega i is anumber greater than or equal to zero; determining a postprocessor target function; and enabling the postprocessor to perform multi-objective optimization and outputs an optimal solution. The invention provides a development thought and an evaluation method for design and development of the postprocessor, an optimal postprocessor scheme can be matched for a target engine, development misunderstanding and design blind spots are avoided, unnecessary repeated experiments are avoided, experiment resources, manpower, material resources and financial resources are saved, and the reliability of development and design of postprocessor products is improved.

Description

technical field [0001] The invention belongs to the technical field of diesel vehicle post-processor design, and designs a multi-objective optimization method for the design and development of a diesel vehicle post-processor. Background technique [0002] With the deterioration of my country's atmospheric environment and the increasingly stringent emission regulations, the installation of exhaust after-treatment purification systems for diesel vehicles has become an indispensable technical means to meet emission regulations. The economy, power and even safety of the vehicle operation. [0003] At present, the design and development of post-processing at home and abroad, whether it is an engine main engine factory or a complete vehicle factory, is based on the experience recommendation of the target model by the after-processor component suppliers such as catalysts and carriers, or based on the post-processing accumulated by themselves. No matter which method is used to devel...

AI Technical Summary

Problems solved by technology

Most engineering problems are multi-objective optimization problems, and there are multiple conflicting goals. How to obtain the optimal solutions to these problems has always been the focus of attention in the academic and engineering circles. The essence of multi-objective optimization is that large In most cases, the improvement of a certain goal may cause the performance of other goals to decrease. It is impossible to optimize multiple goals at the same time. We can only coordinate and compromise between the goals, so that all the goal functions can be as good as possible. achieve optimal

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