Work

Multi-Objective Optimization of Gear Design of E-Axles to Improve Noise Emission and Load Distribution

Year: 2025

Type: article

Abstract: This paper presents a comprehensive methodology to enable the optimization of an automotive electric axle to reduce noise emissions and improve load distribution. The proposed method consists of the application of two sequential optimization procedures. The first one focuses on the gears’ macro-geometry, based on an objective function that combines the contact ratio, power loss, and center distance. The second one optimizes the micro-geometry of the teeth to reduce the sound pressure generated by tooth impacts. Mechanical stress limits are considered as a constraint in the optimization process. Shafts, joints, and the electric motor are analyzed, taking into account their deformation that influences the dynamics of the entire system. The results of the proposed procedure are verified through experimental measurements and the comparison can be considered successful.

Source: Machines

DOI: 10.3390/machines13040330

Authors: Luciano Cianciotta, Marco Cirelli, Pier Paolo Valentini

Institution: University of Rome Tor Vergata

Language: English

Topic: Gear and Bearing Dynamics Analysis

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896