A search method integrating configuration synthesis, screening, and optimization for a dual-planetary gear set four-mode configuration in battery electric vehicles

IF 4.5 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Yang Tian , Yusen Miao , Jiahao Qin , Yahui Zhang , Nong Zhang , Guilin Wen
{"title":"A search method integrating configuration synthesis, screening, and optimization for a dual-planetary gear set four-mode configuration in battery electric vehicles","authors":"Yang Tian ,&nbsp;Yusen Miao ,&nbsp;Jiahao Qin ,&nbsp;Yahui Zhang ,&nbsp;Nong Zhang ,&nbsp;Guilin Wen","doi":"10.1016/j.mechmachtheory.2025.106021","DOIUrl":null,"url":null,"abstract":"<div><div>Planetary gear sets (PGS) are regarded for their compact structure, high efficiency, and other advantages. They have been successfully implemented in several battery electric vehicles, delivering outstanding performance. This paper examines a dual-motor, dual-PGS four-mode configuration and introduces an innovative matrix-based search method. This approach integrates configuration synthesis, screening, and optimization to identify the most appropriate structure and parameters for the vehicle intended to utilize this configuration. In this process, connection units and structure matrices are defined to complete configuration synthesis. By leveraging the characteristics of PGS and the structure matrices, the speed, torque, and efficiency are calculated for each working mode. Configuration screening is conducted based on the performance requirements of the motor, PGS, and vehicle to preemptively eliminate unqualified configurations. To reduce the computational burden of configuration optimization, a novel energy management strategy is designed that approximates the performance of dynamic programming. This search method is applied to an example vehicle. The results demonstrate that this method can effectively search for the optimal configuration and corresponding parameters under specific requirements.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"211 ","pages":"Article 106021"},"PeriodicalIF":4.5000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X25001107","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Planetary gear sets (PGS) are regarded for their compact structure, high efficiency, and other advantages. They have been successfully implemented in several battery electric vehicles, delivering outstanding performance. This paper examines a dual-motor, dual-PGS four-mode configuration and introduces an innovative matrix-based search method. This approach integrates configuration synthesis, screening, and optimization to identify the most appropriate structure and parameters for the vehicle intended to utilize this configuration. In this process, connection units and structure matrices are defined to complete configuration synthesis. By leveraging the characteristics of PGS and the structure matrices, the speed, torque, and efficiency are calculated for each working mode. Configuration screening is conducted based on the performance requirements of the motor, PGS, and vehicle to preemptively eliminate unqualified configurations. To reduce the computational burden of configuration optimization, a novel energy management strategy is designed that approximates the performance of dynamic programming. This search method is applied to an example vehicle. The results demonstrate that this method can effectively search for the optimal configuration and corresponding parameters under specific requirements.
纯电动汽车双行星齿轮组四模构型综合筛选优化搜索方法
行星齿轮组(PGS)以其结构紧凑、效率高和其他优点而受到重视。它们已成功地应用于多款纯电动汽车,并提供了出色的性能。本文研究了双电机,双pgs四模式配置,并介绍了一种创新的基于矩阵的搜索方法。这种方法集成了配置综合、筛选和优化,以确定最合适的车辆结构和参数,以利用这种配置。在此过程中,定义连接单元和结构矩阵,完成构型综合。利用PGS的特性和结构矩阵,计算了每种工作模式下的速度、扭矩和效率。根据电机、PGS、车辆的性能要求进行配置筛选,先发制人地淘汰不合格配置。为了减少构型优化的计算量,设计了一种近似动态规划性能的能量管理策略。将该搜索方法应用于实例车辆。结果表明,该方法可以有效地搜索出特定要求下的最优配置和相应参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Mechanism and Machine Theory
Mechanism and Machine Theory 工程技术-工程:机械
CiteScore
9.90
自引率
23.10%
发文量
450
审稿时长
20 days
期刊介绍: Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal. The main topics are: Design Theory and Methodology; Haptics and Human-Machine-Interfaces; Robotics, Mechatronics and Micro-Machines; Mechanisms, Mechanical Transmissions and Machines; Kinematics, Dynamics, and Control of Mechanical Systems; Applications to Bioengineering and Molecular Chemistry
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信