Oil pump performance curve estimation method based on ADMGA (Adaptive Dissortative Mating Genetic Algorithm)

A technology of self-adaptive parameters and genetic algorithm, which is applied in the field of establishing the surface model of the working characteristics of the oil pump, can solve the problem of small modeling workload
CN102521484AActive Publication Date: 2012-06-27盐城市大丰区生产力促进中心
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
盐城市大丰区生产力促进中心
Publication Date
2012-06-27

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Abstract

The invention provides an oil pump performance curve estimation method based on an ADMGA (Adaptive Dissortative Mating Genetic Algorithm) and in particular relates to a method for building an oil pump working characteristic curved surface model. The method comprises the steps: 1) measuring the test data of an oil pump on an oil pump performance test bench; 2) according to the experimental data, estimating the value range of parameters a, b, c and d in the formula (1); 3) updating the parameter domain of genetic iterations; and 4) estimating the oil pump performance curve by adopting the ADMGA. The method used for building the oil pump working characteristic curved surface model has the advantages of unitary expression, less modeling work load and simplicity in operation. According to the invention, not only can the global search capability improved, but also the search time is shortened, and the search performance of the genetic algorithm is improved.
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Description

technical field

[0001] The invention relates to a method for establishing a curved surface model of the working characteristics of an oil pump. Background technique

[0002] The oil pump is an important part of the engine. Its function is to provide lubricating oil to the friction surface to reduce the wear of the parts. The general characteristics of the oil pump can be expressed as:

[0003] Q=a+b·n+c·p s +d T (1)

[0004] In formula (1), a is the constant coefficient of the working characteristic surface, b, c, d are the coefficients of the test motor speed n, pump pressure ps, and oil temperature T.

[0005] According to the general characteristic test results, the mathematical model of the oil pump working characteristics can be estimated, and the general characteristic curve can be drawn.

[0006] At present, the modeling methods of oil pump working characteristics mainly include test data fitting method, neural network modeling analysis method and computational fl...

Claims

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