Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network

The double motor hybrid vehicle distributes the power on both sides through the parallel planetary gear mechanism. The meshing force of the two rows of planetary gears affects each other, resulting in the increase of dynamic load coefficient and vibration excitation. The harmonic analysis method is...

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Main Authors: Xia Yuan, Xiaohua Hao, Xuewen Song, Jianli Zhang, Gang An
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2021-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.03.023
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author Xia Yuan
Xiaohua Hao
Xuewen Song
Jianli Zhang
Gang An
author_facet Xia Yuan
Xiaohua Hao
Xuewen Song
Jianli Zhang
Gang An
author_sort Xia Yuan
collection DOAJ
description The double motor hybrid vehicle distributes the power on both sides through the parallel planetary gear mechanism. The meshing force of the two rows of planetary gears affects each other, resulting in the increase of dynamic load coefficient and vibration excitation. The harmonic analysis method is used to obtain the frequency ratio of meshing force under multiple working conditions, so as to establish RBF neural network model, and a prediction of meshing force in a certain working range is carried out. The maximum meshing force and dynamic load coefficient are calculated on the prediction results, and the meshing force is proportional to the difference between speed ratio and output torque ratio minus 1, and the dynamic load coefficient on the low-speed side is greater than that on the high-speed side, which can be expressed as a multiple or reciprocal multiple relationship. It provides a theoretical basis for the study of dynamics of hybrid vehicles with dual motors.
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spelling doaj.art-a85ff0bc6f2644cab6ce489b95e8a5e52023-05-26T09:32:57ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-01-01451401467492069Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural NetworkXia YuanXiaohua HaoXuewen SongJianli ZhangGang AnThe double motor hybrid vehicle distributes the power on both sides through the parallel planetary gear mechanism. The meshing force of the two rows of planetary gears affects each other, resulting in the increase of dynamic load coefficient and vibration excitation. The harmonic analysis method is used to obtain the frequency ratio of meshing force under multiple working conditions, so as to establish RBF neural network model, and a prediction of meshing force in a certain working range is carried out. The maximum meshing force and dynamic load coefficient are calculated on the prediction results, and the meshing force is proportional to the difference between speed ratio and output torque ratio minus 1, and the dynamic load coefficient on the low-speed side is greater than that on the high-speed side, which can be expressed as a multiple or reciprocal multiple relationship. It provides a theoretical basis for the study of dynamics of hybrid vehicles with dual motors.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.03.023RBF neural network;Parallel planetary gear;Frequency coupling;Dynamic meshing force
spellingShingle Xia Yuan
Xiaohua Hao
Xuewen Song
Jianli Zhang
Gang An
Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
Jixie chuandong
RBF neural network;Parallel planetary gear;Frequency coupling;Dynamic meshing force
title Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
title_full Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
title_fullStr Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
title_full_unstemmed Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
title_short Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
title_sort dynamic meshing force analysis of parallel planetary gear based on rbf neural network
topic RBF neural network;Parallel planetary gear;Frequency coupling;Dynamic meshing force
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.03.023
work_keys_str_mv AT xiayuan dynamicmeshingforceanalysisofparallelplanetarygearbasedonrbfneuralnetwork
AT xiaohuahao dynamicmeshingforceanalysisofparallelplanetarygearbasedonrbfneuralnetwork
AT xuewensong dynamicmeshingforceanalysisofparallelplanetarygearbasedonrbfneuralnetwork
AT jianlizhang dynamicmeshingforceanalysisofparallelplanetarygearbasedonrbfneuralnetwork
AT gangan dynamicmeshingforceanalysisofparallelplanetarygearbasedonrbfneuralnetwork