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

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.

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Institutions

Publication Details

Journal
Machines
Published
2025-04-17
DOI
https://doi.org/10.3390/machines13040330
Citations
5
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
3.57

Funders

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article

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

Pier Paolo Valentini, Marco Cirelli, Luciano Cianciotta
5 citations
Machines
Gear and Bearing Dynamics Analysis
3.57
article

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

Pier Paolo Valentini, Marco Cirelli, Luciano Cianciotta
article en
5 citations

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.

MachinesVol. 13(4)
University of Rome Tor Vergata (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca
Openalex Percentile: Top 8%
Gear and Bearing Dynamics Analysis
3.57
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