Energy recovery and ride comfort analysis of mechanical-electrical-hydraulic regenerative suspension system for tracked vehicle

Weijie Zhang, Yong Guo, Guosheng Wang, Qihui Ling, Zhewu Chen
{"title":"Energy recovery and ride comfort analysis of mechanical-electrical-hydraulic regenerative suspension system for tracked vehicle","authors":"Weijie Zhang, Yong Guo, Guosheng Wang, Qihui Ling, Zhewu Chen","doi":"10.1177/09544070241265034","DOIUrl":null,"url":null,"abstract":"A novel mechanical-electrical-hydraulic regenerative suspension system (MEH-RSS) suitable for tracked vehicles is proposed to improve the ride comfort of tracked vehicles while efficiently recovering the suspension vibration energy and improving the suspension working reliability. The dynamical model considering the dynamic damping coefficient of the MEH-RSS is established and the ride comfort analysis of tracked vehicle is carried out to verify the vibration reduction performance of the MEH-RSS. A simulated test of the energy recovery module is designed based on the bidirectional energy management control strategy, and the results show that the MEH-RSS can achieve semi-active damping force adjustment function and efficient energy recovery. The simulation results of a single bogie wheel 2-DOF model show that the damping coefficient of the MEH-RSS can adapt to the changes in road excitation characteristics, and semi-active control function can be achieved by adjusting the external resistance. The average energy recovery power of 4442 W can be reached on E-class off-road with a driving velocity of 10 m/s. The half vehicle 8-DOF model simulation results show that under passive working conditions, the root-mean-square (RMS) value of the vertical acceleration of a tracked vehicle equipped with MEH-RSS is reduced by 5.7% relative to that of a tracked vehicle equipped with traditional passive suspension (TPS) on E-class off-road. The MEH-RSS can effectively improve the ride comfort of tracked vehicles while achieving vibration energy recovery.","PeriodicalId":54568,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part D-Journal of Automobile Engineering","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers Part D-Journal of Automobile Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09544070241265034","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

A novel mechanical-electrical-hydraulic regenerative suspension system (MEH-RSS) suitable for tracked vehicles is proposed to improve the ride comfort of tracked vehicles while efficiently recovering the suspension vibration energy and improving the suspension working reliability. The dynamical model considering the dynamic damping coefficient of the MEH-RSS is established and the ride comfort analysis of tracked vehicle is carried out to verify the vibration reduction performance of the MEH-RSS. A simulated test of the energy recovery module is designed based on the bidirectional energy management control strategy, and the results show that the MEH-RSS can achieve semi-active damping force adjustment function and efficient energy recovery. The simulation results of a single bogie wheel 2-DOF model show that the damping coefficient of the MEH-RSS can adapt to the changes in road excitation characteristics, and semi-active control function can be achieved by adjusting the external resistance. The average energy recovery power of 4442 W can be reached on E-class off-road with a driving velocity of 10 m/s. The half vehicle 8-DOF model simulation results show that under passive working conditions, the root-mean-square (RMS) value of the vertical acceleration of a tracked vehicle equipped with MEH-RSS is reduced by 5.7% relative to that of a tracked vehicle equipped with traditional passive suspension (TPS) on E-class off-road. The MEH-RSS can effectively improve the ride comfort of tracked vehicles while achieving vibration energy recovery.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
履带式车辆机械-电气-液压再生悬挂系统的能量回收和乘坐舒适性分析
本文提出了一种适用于履带式车辆的新型机电液再生悬架系统(MEH-RSS),在有效回收悬架振动能量、提高悬架工作可靠性的同时,改善了履带式车辆的乘坐舒适性。建立了考虑 MEH-RSS 动态阻尼系数的动力学模型,并对履带车辆的乘坐舒适性进行了分析,以验证 MEH-RSS 的减振性能。基于双向能量管理控制策略,设计了能量回收模块的仿真试验,结果表明 MEH-RSS 可实现半主动阻尼力调节功能和高效的能量回收。单转向架车轮 2-DOF 模型的仿真结果表明,MEH-RSS 的阻尼系数能够适应路面激励特性的变化,并可通过调节外阻力实现半主动控制功能。在行驶速度为 10 m/s 的 E 级越野路面上,平均能量回收功率可达 4442 W。半车 8-DOF 模型模拟结果表明,在被动工况下,配备 MEH-RSS 的履带式车辆在 E 级越野路面上的垂直加速度均方根值比配备传统被动悬架(TPS)的履带式车辆降低了 5.7%。MEH-RSS 可有效改善履带式车辆的乘坐舒适性,同时实现振动能量回收。
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 去求助
来源期刊
CiteScore
4.40
自引率
17.60%
发文量
263
审稿时长
3.5 months
期刊介绍: The Journal of Automobile Engineering is an established, high quality multi-disciplinary journal which publishes the very best peer-reviewed science and engineering in the field.
期刊最新文献
Comparison of simplex and duplex drum brakes linings with transverse slots in vehicles Scenario-aware clustered federated learning for vehicle trajectory prediction with non-IID data Vehicle trajectory prediction method integrating spatiotemporal relationships with hybrid time-step scene interaction Research on Obstacle Avoidance Strategy of Automated Heavy Vehicle Platoon in High-Speed Scenarios Cooperative energy optimal control involving optimization of longitudinal motion, powertrain, and air conditioning systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1