Wheel hub motor optimization method based on genetic annealing algorithm

A hub motor and genetic annealing technology, applied in calculation, calculation model, electrical digital data processing, etc., can solve the problems of reduced vibration isolation performance, deterioration of smoothness of unsprung mass, large unsprung mass, etc.

Active Publication Date: 2017-11-07
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

There has always been a relatively important problem in the research of the in-wheel motor system: the integration of the motor and the wheel leads to a large unsprung mass, a decrease in the isolation vibration performan...

Method used

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  • Wheel hub motor optimization method based on genetic annealing algorithm
  • Wheel hub motor optimization method based on genetic annealing algorithm
  • Wheel hub motor optimization method based on genetic annealing algorithm

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Embodiment Construction

[0076] Firstly, the objective and constraints of in-wheel motor optimization are obtained; then the variable parameters of the in-wheel motor are encoded, selected, crossed and mutated using the genetic annealing algorithm to obtain the optimal value of the variable parameters, making the performance index and economic and technical index of the in-wheel motor optimize.

[0077] refer to figure 1 , the present invention provides a method for optimal design of an in-wheel motor based on a genetic annealing algorithm, comprising the steps of:

[0078] S1. Initialize the settings of the initial temperature, temperature drop factor, termination temperature, and number of iterations of the genetic annealing algorithm;

[0079] S2. Obtaining the objectives and constraints of the in-wheel motor optimization;

[0080] S3. Encode the variable parameters to generate the initial population P of the genetic annealing algorithm 0 (t);

[0081] S4. Calculate the probability of being sel...

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Abstract

The invention discloses a wheel hub motor optimization method based on the genetic annealing algorithm. The method includes the following technical steps that the target and constraint conditions of wheel hub motor optimization; the genetic annealing algorithm is adopted for inverse solution and solution of a wheel hub motor, and hub motor design variable parameter values are obtained; according to the obtained variable parameter values, the sustainedly stable torque of the wheel hub motor is generated. The genetic annealing algorithm is improved on the basis of the genetic algorithm, the genetic algorithm and the simulated annealing algorithm are organically combined together, the efficiency of the algorithm can be improved, the global control capability of the algorithm can be enhanced, the precision is high, the convergence speed is high and the efficiency is high. It is feasible to apply the method to the optimization design of the wheel hub motor of an electric wheel, and the method has wide engineering application value.

Description

technical field [0001] The invention relates to the field of lightweight design of an electric wheel driven by a hub motor, in particular to a design optimization method for a hub motor. Background technique [0002] In recent years, with the support and attention from all sides, new energy vehicles, especially pure electric vehicles, have developed rapidly, and electric vehicles will be an important means of transportation for people in the future. As one of the core components of electric vehicles, hub motors are characterized by integrating drive, transmission, and braking devices into the hub, omitting traditional components such as clutches, transmissions, drive shafts, differentials, and transfer boxes. transmission parts. The development of in-wheel motor technology will bring about a revolution in the way vehicles are driven. [0003] As a new energy vehicle, in-wheel motor-driven electric vehicles have always been the focus of research by scholars at home and abro...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06F30/15G06N3/006
Inventor 张喜清马旭连晋毅王俊峰藏学辰
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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