Research on gear micro-modification and vibration and noise reduction of electric drive axles
HUANG Junming
ZHANG Shuo
LAN Changyan
XU Minmin
QIN Pinpin
Abstract：[Objective]Addressing the issue of vibration and noise suppression in electric drive axles for new energy vehicles and the limitations of gear modification based on engineering experience,a method for predicting vibration response in electric drive axles using support vector regression(SVR)was proposed.[Methods]Initially,a gear transmission system model for the electric drive axle was constructed,and its validity was confirmed through simulated contact spot analysis compared with test data.Subsequently,a prediction model of gear micro-modification parameters and vibration response was established based on SVR,targeting transmission error,maximum contact stress,and tooth load distribution coefficient of the electric drive axle gears.Finally,a non-dominated sorting genetic algorithm(NSGA-Ⅱ)with an elitist strategy was introduced to optimize the micro-modification parameters of the gears.[Results]Simulation results demonstrate that post-optimization modification leads to a 49%reduction in transmission error,a 4%decrease in maximum contact stress,improved uniform load distribution,and a 93%reduction in peak vibration acceleration.Test validation reveals a reduction in noise levels across various operating conditions,with the maximum noise drop being approximately 4 dB(A).This research provides insights and a basis for vibration and noise reduction in gear transmission systems of electric drive axles for new energy vehicles.
Keywords：Electric drive axleMicro-modificationVibration and noise reductionTransmission errorSupport vector regression
Publication Date：2025-10-31
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 104-112 )