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Electric drive system multi-field coupling optimization method based on bonding graph modeling

A technology of electric drive system and optimization method, applied in the direction of design optimization/simulation, geometric CAD, etc., can solve problems such as limiting the effect of electric drive system

Active Publication Date: 2020-03-06
CHONGQING UNIV
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  • Application Information

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Problems solved by technology

Although some researchers have used the bond graph method model in the optimization design of the electric drive system, the models established by them are relatively simple, which can only reflect the kinematic characteristics of the electric drive system, and have not penetrated into the internal mechanism of the electric drive system. Modeling is carried out at the level of electromagnetic conversion and the principle of gear meshing, which limits its role in the integrated design of electric drive systems

Method used

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  • Electric drive system multi-field coupling optimization method based on bonding graph modeling
  • Electric drive system multi-field coupling optimization method based on bonding graph modeling
  • Electric drive system multi-field coupling optimization method based on bonding graph modeling

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with embodiment and accompanying drawing.

[0028] like figure 1 As shown, a multi-field coupling optimization method for electric drive system based on bond graph modeling includes the following steps:

[0029] S1: Establish the bond graph model of the permanent magnet motor, and derive the state equation of the bond graph model of the permanent magnet motor.

[0030] Said step S1 comprises:

[0031] S11: According to the physical model of the permanent magnet motor, a bond graph model of the permanent magnet motor is established.

[0032] See figure 1 , U a , U b , U c are the voltage input of each phase of the permanent magnet motor, e a 、e b 、e c is the opposite electromotive force of the permanent magnet motor, i a i b i c are the currents of each phase winding of the permanent magnet motor, respectively.

[0033] See figure 2 ( figure 2 , Figure 4 , Image 6 and Figure 8 sam...

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Abstract

The invention discloses an electric drive system multi-field coupling optimization method based on bonding graph modeling. The method comprises the following steps: S1, establishing a permanent magnetmotor bonding graph model; S2, establishing a speed reducer bonding graph model; S3, establishing an electric drive system bonding graph model, and deriving a state equation of the electric drive system bonding graph model; and S4, inputting simulation parameters, and correcting the electric drive system bonding graph model. By adopting the technical scheme, the energy transfer process of the electric drive system is clearly described, the dynamic characteristics of the electric drive system can be dynamically reflected in real time, and a theoretical basis is provided for the optimal designof the electric drive system.

Description

technical field [0001] The invention relates to the technical field of optimization design of an electric drive system, in particular to a multi-field coupling optimization method for an electric drive system based on bond graph modeling. Background technique [0002] The electric drive system includes the mutual transfer and conversion of various energy flows such as electricity, magnetism, machinery, fluid, and heat. Only by establishing an integrated model of multi-field coupling can more accurate load characteristics, efficiency characteristics, and amplitude-frequency characteristics be obtained. And the characteristics of the temperature field, so as to provide a design basis for the design and development of the integrated electric drive system and parameter optimization. [0003] In the modeling of electric drive system, most of them are modeled by traditional theoretical modeling methods. Divide the electric drive system into several subsystems such as mechanical, ...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/20
Inventor 孙冬野侯文锋尤勇史小丁周瑾
Owner CHONGQING UNIV
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