优化电动自行车控制,实现人车互动,提升骑行体验和效率

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL International Journal of Industrial Ergonomics Pub Date : 2024-09-28 DOI:10.1016/j.ergon.2024.103651
Sheng-Chieh Yang , Yun-Ju Lee
{"title":"优化电动自行车控制,实现人车互动,提升骑行体验和效率","authors":"Sheng-Chieh Yang ,&nbsp;Yun-Ju Lee","doi":"10.1016/j.ergon.2024.103651","DOIUrl":null,"url":null,"abstract":"<div><div>E-bikes are now used for sports, rehabilitation, and work, not just commuting. Riders adjust power assistance and transmission to handle different conditions and reach their desired physical load. This interaction between the rider, bike, and environment can become complex due to faster speeds, shorter response times, and varying conditions, potentially leading to discomfort. A study with 21 non-athletes explored how riders manage the physical load on e-bikes during a simulated indoor riding session with 66 stages of varying slope resistance. Participants controlled the e-bike to maintain a moderate intensity, and data on latency of e-bike control, number of controls, acceptable pedaling power, heart rate, and perceived exertion were collected. On average, riders made their control adjustment 5.3 s after a slope change and used 2.7 control attempts to reach an acceptable pedaling power. The study found that the most acceptable pedaling power were similar across different slopes, suggesting a consistent preferred load. Participants aimed to maintain stable pedaling power despite external disturbances, targeting a moderate exercise intensity (66.9% maximal heart rate and a rate of perceived exertion of 12.1). The findings indicate that it's possible to estimate a personal preferred load, which could inform future studies on maintaining this load and improving the e-bike riding experience in participatory ergonomics.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing E-bike controls for human-bike interaction to enhance riding experience and efficiency\",\"authors\":\"Sheng-Chieh Yang ,&nbsp;Yun-Ju Lee\",\"doi\":\"10.1016/j.ergon.2024.103651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>E-bikes are now used for sports, rehabilitation, and work, not just commuting. Riders adjust power assistance and transmission to handle different conditions and reach their desired physical load. This interaction between the rider, bike, and environment can become complex due to faster speeds, shorter response times, and varying conditions, potentially leading to discomfort. A study with 21 non-athletes explored how riders manage the physical load on e-bikes during a simulated indoor riding session with 66 stages of varying slope resistance. Participants controlled the e-bike to maintain a moderate intensity, and data on latency of e-bike control, number of controls, acceptable pedaling power, heart rate, and perceived exertion were collected. On average, riders made their control adjustment 5.3 s after a slope change and used 2.7 control attempts to reach an acceptable pedaling power. The study found that the most acceptable pedaling power were similar across different slopes, suggesting a consistent preferred load. Participants aimed to maintain stable pedaling power despite external disturbances, targeting a moderate exercise intensity (66.9% maximal heart rate and a rate of perceived exertion of 12.1). The findings indicate that it's possible to estimate a personal preferred load, which could inform future studies on maintaining this load and improving the e-bike riding experience in participatory ergonomics.</div></div>\",\"PeriodicalId\":50317,\"journal\":{\"name\":\"International Journal of Industrial Ergonomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Ergonomics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169814124001070\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169814124001070","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

摘要

电动自行车现在不仅用于通勤,还用于运动、康复和工作。骑行者通过调节助力和传动装置来应对不同的条件,并达到所需的身体负荷。由于速度更快、响应时间更短以及条件各异,骑行者、自行车和环境之间的这种互动可能会变得复杂,从而可能导致不适。一项针对 21 名非运动员的研究探讨了在 66 个不同坡度阻力的模拟室内骑行过程中,骑行者如何管理电动自行车的物理负荷。参与者控制电动自行车以保持中等强度,并收集了有关电动自行车控制潜伏期、控制次数、可接受的踩踏功率、心率和感知消耗的数据。平均而言,骑行者在坡度变化后 5.3 秒进行控制调整,并使用 2.7 次控制尝试达到可接受的踩踏功率。研究发现,在不同的坡度上,最可接受的踩踏功率是相似的,这表明首选负荷是一致的。参与者的目标是在受到外部干扰的情况下保持稳定的踩踏功率,达到中等运动强度(最大心率为 66.9%,感知用力率为 12.1)。研究结果表明,可以估算出个人的首选负荷,这可以为今后在参与式人体工程学中保持这种负荷和改善电动自行车骑行体验的研究提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Optimizing E-bike controls for human-bike interaction to enhance riding experience and efficiency
E-bikes are now used for sports, rehabilitation, and work, not just commuting. Riders adjust power assistance and transmission to handle different conditions and reach their desired physical load. This interaction between the rider, bike, and environment can become complex due to faster speeds, shorter response times, and varying conditions, potentially leading to discomfort. A study with 21 non-athletes explored how riders manage the physical load on e-bikes during a simulated indoor riding session with 66 stages of varying slope resistance. Participants controlled the e-bike to maintain a moderate intensity, and data on latency of e-bike control, number of controls, acceptable pedaling power, heart rate, and perceived exertion were collected. On average, riders made their control adjustment 5.3 s after a slope change and used 2.7 control attempts to reach an acceptable pedaling power. The study found that the most acceptable pedaling power were similar across different slopes, suggesting a consistent preferred load. Participants aimed to maintain stable pedaling power despite external disturbances, targeting a moderate exercise intensity (66.9% maximal heart rate and a rate of perceived exertion of 12.1). The findings indicate that it's possible to estimate a personal preferred load, which could inform future studies on maintaining this load and improving the e-bike riding experience in participatory ergonomics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
期刊最新文献
Assessing the link between occupational risk factors, work-related musculoskeletal disorders and quality of work life: An analysis using PLS-SEM Ergonomic design of mastectomy bra based on emotion measurements Sedentary behavior and musculoskeletal symptoms among work from home employees Research on similarity bias in dual objective visual search based on nuclear power human-machine interface icons The impact of camera-monitor system viewing angles on drivers’ distance perception: A simulated driving study
×
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