Current situation and prospect of design, manufacturing and inspection technology of gear transmission for new energy vehicles
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1
School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, No. 19 Guantang Avenue, Yufeng District, 545006 Liuzhou, Guangxi Zhuang Autonomous Region, China
2
Guangxi Critical Laboratory of Auto Parts and Vehicle Technology, 545006 Liuzhou, China
3
High-end Engineering Equipment Guangxi University Engineering Research Centre, 545006 Liuzhou, China
4
School of Automation, Guangxi University of Science and Technology, No. 19 Guantang Avenue, Yufeng District, 545006 Liuzhou, Guangxi Zhuang Autonomous Region, China
5
Parts Research Institute, Guangxi Liugong Yuanxiang Technology Co., Ltd., No. 2 Liugong Avenue, Hexi Sub District, 545027 Liuzhou, Guangxi Zhuang Autonomous Region, China
These authors had equal contribution to this work
Publication date: 2026-03-17
Corresponding author
Lin Lu
School of Automation, Guangxi University of Science and Technology, No. 19 Guantang Avenue, Yufeng District, Liuzhou 545006, Guangxi Zhuang Autonomous Region, China
Adv. Sci. Technol. Res. J. 2026; 20(6)
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ABSTRACT
With the rapid development of new energy vehicles, gear transmission systems are facing increasingly stringent demands for high efficiency, low noise, high reliability, and performance under high-torque variable-load conditions. The design, manufacturing, and inspection technologies of gears are crucial to the reliability and safety of new energy vehicles. Firstly, this paper summarizes the influence of tooth flank modification on NVH (Noise, Vibration and Harshness) in gear transmission design for new energy vehicles. Secondly, the impact of grinding and power honing on gear manufacturing within the production technology of new energy vehicle gear transmissions is elaborated. Third, the application of optical inspection and deep learning in gear inspection technology for new energy vehicles is discussed. Finally, prospects for gear technology are provided, focusing on AI-driven design, multi-energy field hybrid manufacturing, and non-contact inspection technologies.