Evidence theory-based electromechanical product simulation model precision improvement method

A technology for electromechanical products and simulation models, applied in electrical digital data processing, design optimization/simulation, special data processing applications, etc. The effect of reducing the number of physical tests and test costs, reducing uncertainty, and improving the level of accuracy

Inactive Publication Date: 2020-10-09
HUNAN UNIV +1
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  • Claims
  • Application Information

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Problems solved by technology

[0003] However, due to the complexity of multi-field coupling of electromechanical products, insufficient cognitive level, experimental errors and other factors, it is difficult or even impossible to directly measure these key parameters with traditional test methods, and uncertainties are inevitable in simulation modeling. The reliability of the simulation results of electromechanical products is low

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  • Evidence theory-based electromechanical product simulation model precision improvement method
  • Evidence theory-based electromechanical product simulation model precision improvement method
  • Evidence theory-based electromechanical product simulation model precision improvement method

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Embodiment Construction

[0025] Combined with the accompanying drawings below, as figure 2 The identification of the probability distribution in the key modeling parameter interval of the vehicle occupant restraint system and the improvement of the accuracy of the simulation model are taken as an example to specifically describe the preferred implementation process of the present invention, wherein the accompanying drawings constitute a part of the application and are related to the implementation of the present invention The cases are used together to illustrate the principles of the invention.

[0026] Due to the complexity of the vehicle occupant restraint system, especially the limitations of the instantaneousness, uncertainty and high cost of the crash test of the vehicle collision accident, some key parameters in the modeling process of the restraint system include the seat belt stiffness scaling factor and the airbag flow rate. It is difficult to directly determine the scaling factor through e...

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Abstract

The invention discloses an evidence theory-based electromechanical product simulation model precision improvement method. The method comprises the following steps: 1, carrying out a small amount of test measurement on an electromechanical product, carrying out statistical analysis on measured response data, and analyzing the measured response data by utilizing an evidence theory; 2, establishing amechanical and electrical product simulation model, obtaining a calculation response, and establishing an objective function for identifying an electromechanical product modeling parameter interval range; 3, further dividing the identified modeling parameter interval into a plurality of sub-intervals, and preliminarily allocating a certain modeling parameter probability to each sub-interval; and4, establishing an objective function for identifying a modeling parameter quantum interval probability value by utilizing the electromechanical product simulation model and the allocated sub-intervalprobability, and identifying accurate probability allocation on the modeling parameter quantum interval through an optimization process. According to the method, the value interval and probability distribution of the modeling parameters can be accurately obtained under the small amount of measurement response, and the precision level of the electromechanical product simulation model is effectively improved.

Description

technical field [0001] The invention relates to a method for improving the accuracy of a simulation model of an electromechanical product, in particular to a method for improving the accuracy of a simulation model of an electromechanical product based on evidence theory. Background technique [0002] Electromechanical products are usually complex systems that interact with many fields such as machinery, hydraulic pressure, electronics and control. Due to its advantages in reusability of expression, predictability of structural performance and controllability of product development process, simulation model has become a powerful analysis tool for complex electromechanical product systems. The accuracy of the simulation model of electromechanical products depends on the accurate acquisition of key modeling parameters such as force, electricity, heat, and control required for modeling. [0003] However, due to the complexity of multi-field coupling of electromechanical product...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18G06F119/08G06F119/14
CPCG06F30/20G06F17/18G06F2119/08G06F2119/14
Inventor 刘杰曹立雄韦柳仁张连怡张晗杨凯
Owner HUNAN UNIV
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