Configuration Design of Dual-Input Compound Power-Split Mechanism for In-Wheel Motor-Driven Electrical Vehicles Based on an Improved Lever Analogy Method

Author:

Yang Xiaodong12,Shao Yimin3,Wang Liming3,Yu Wennian12,Yue Nian12,Du Weitao12

Affiliation:

1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China;

2. College of Mechanical Engineering, Chongqing University, Chongqing 400044, China

3. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China

Abstract

Abstract High power density in-wheel motor could be achieved by integrating a high-speed ratio (larger than 25) compound power-split mechanism (CPSM) with small motors. However, due to the exhaustive searching method adopted by the traditional lever analogy method, it is time-consuming to design high-speed ratio compound power-split mechanism configurations satisfying the high power density of in-wheel motor. In this paper, an improved lever analogy method is proposed to find the optimal configurations with a high-speed ratio to satisfy the high power density in-wheel motor. In this method, a judgment algorithm about the rank of structure matrix is proposed to identify three-node compound lever models of the CPSM. The improved lever analogy method can filter out useless configurations that significantly improve the calculation efficiency. The simulation results show that the calculation efficiency is improved by 215 times higher than that of the lever analogy method. Finally, 16 reasonable and 14 new configurations are obtained. This indicates that the improved lever analogy method can provide an effective way to design the high-speed ratio CPSM, which is widely used in-wheel motor-driven vehicles.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3