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A geometrical parameter optimization method of a longitudinally connected air suspension based on a second generation non-dominated genetic algorithm nested in an inner layer and an outer layer

A technology of geometric parameters and genetic algorithm, applied in the field of optimization of key geometric parameters of longitudinally connected air suspension, can solve the problems of lack of optimization of geometric parameters, increased cargo damage, increased ruts, cracks, loose pits and peeling, etc.

Active Publication Date: 2019-03-08
HEFEI UNIV OF TECH
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Problems solved by technology

However, the optimization of key geometric parameters of the longitudinally connected air suspension for the comprehensive driving performance of the vehicle such as axle load balance ability and ride comfort is still very scarce.
Due to the lack of optimization of the key geometric parameters of the longitudinally connected air suspension for the overall driving performance of the vehicle, such as axle load balance and ride comfort, the se

Method used

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  • A geometrical parameter optimization method of a longitudinally connected air suspension based on a second generation non-dominated genetic algorithm nested in an inner layer and an outer layer
  • A geometrical parameter optimization method of a longitudinally connected air suspension based on a second generation non-dominated genetic algorithm nested in an inner layer and an outer layer
  • A geometrical parameter optimization method of a longitudinally connected air suspension based on a second generation non-dominated genetic algorithm nested in an inner layer and an outer layer

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Embodiment Construction

[0065] In this embodiment, a method for optimizing the geometric parameters of the longitudinally connected air suspension based on the second-generation non-dominated genetic algorithm nested in the inner and outer layers is as follows: figure 1 As shown, it proceeds as follows:

[0066] Step 1. Establish a multi-objective optimization model for key geometric parameters of the longitudinally connected air suspension.

[0067] Step 1.1, for the structure of the longitudinally connected air suspension, such as figure 2 As shown, a three-axle semi-trailer-road coupling mathematical model is constructed; the vehicle model contains five degrees of freedom: the vertical displacement Z of the sprung mass, and the vertical displacement x of the three unsprung masses 1 、x 2 、x 3 , and the pitch angle of the sprung mass The equation of motion is as follows:

[0068]

[0069]

[0070]

[0071]

[0072]

[0073] In formula (1)-(5), m t1 ,m t2 ,m t3 and q 1 ,q2 ,...

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Abstract

The invention discloses a geometrical parameter optimization method of a longitudinally connected air suspension based on a second generation non-dominated genetic algorithm nested in an inner layer and an outer layer. The method comprises the following steps of 1 establishing a geometrical parameter multi-target optimization method of the longitudinally connected air suspension; 2 using the second generation non-dominate genetic algorithm embedded in the inn and outer layers to solve the multi-objective model, and obtaining the front of the optimized Pareto solution set; 3 sorting the individuals in the Pareto frontier by the method of approximate ideal solution, and selecting the optimal key geometric parameters. The method of the invention can effectively improve the comprehensive driving performance of a multi-axle longitudinally connected air suspension semi-trailer under the condition that the driving conditions (road roughness, vehicle speed and load) are uncertain.

Description

technical field [0001] The invention relates to a DL-NSGA-II method for optimizing key geometric parameters of a longitudinally connected air suspension based on a second-generation non-dominated genetic algorithm based on inner and outer layer nesting, and belongs to the technical field of optimizing key geometric parameters of a longitudinally connected air suspension. Background technique [0002] The suspension system of a multi-axle truck is an important part that affects the driving performance of the vehicle. The dynamic axle load balance performance of the multi-coupling shaft group refers to the ability of the load to be evenly distributed among the multi-coupling shafts when the vehicle is running. Good dynamic axle load balance can reduce the peak value of tire force. On the one hand, it can prevent tire blowout accidents caused by single-axle overload and brake failure caused by load transfer during braking; on the other hand, it can delay road rutting, The gene...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G06F30/15G06F30/20Y02T10/40
Inventor 陈一锴黄森石琴史婷杨慧敏
Owner HEFEI UNIV OF TECH