A Road-aware Adaptive Vibration Reduction System for E-bikes
碩士 === 逢甲大學 === 資訊工程學系 === 106 === Due to the light weight of LEVs (Light Electric Vehicles), their shock resistance is much worse than that of the traditional vehicles and motorcycles. When an LEV passes through the speed bumps or manhole covers on roads, the vibration impacts to the rider may caus...
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ndltd-TW-106FCU003920152019-07-04T05:58:31Z http://ndltd.ncl.edu.tw/handle/7u3f9c A Road-aware Adaptive Vibration Reduction System for E-bikes 一個路況感知的電動輔助自行車自適性減震系統 Chang Shun-Ming 張舜銘 碩士 逢甲大學 資訊工程學系 106 Due to the light weight of LEVs (Light Electric Vehicles), their shock resistance is much worse than that of the traditional vehicles and motorcycles. When an LEV passes through the speed bumps or manhole covers on roads, the vibration impacts to the rider may cause discomfort, pain, safety threats or even accidents. To solve these problems, we propose a smartphone-based accelerometer adaptive vibration reduction system for e-bikes. In the system, we use the accelerometer for data collection and vibration magnitude extraction on bumpy road. Then, we combine the geographical information for classification, and use the classified results for e-bikes’ power assistant modes mapping. In this study, using accelerometer for vibration extraction is discovered firstly. The impacts on bumps and road flatness according to power assistant modes with different speeds are discovered secondly by data collection and analysis. We use these results for developing an adaptive system for electric bikes. While cycling, the adaptive system switches the power assistant mode automatically and notifies riders according to collected sensing data for road awareness. Finally, we will implement a system prototype to analyze the effect of switching the power assist level on vibration reduction and exhibit our system can effectively reduce manual switching power assistant levels and inhibit the vibration during cycling. 竇其仁 2018 學位論文 ; thesis 41 en_US |
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碩士 === 逢甲大學 === 資訊工程學系 === 106 === Due to the light weight of LEVs (Light Electric Vehicles), their shock resistance is much worse than that of the traditional vehicles and motorcycles. When an LEV passes through the speed bumps or manhole covers on roads, the vibration impacts to the rider may cause discomfort, pain, safety threats or even accidents. To solve these problems, we propose a smartphone-based accelerometer adaptive vibration reduction system for e-bikes. In the system, we use the accelerometer for data collection and vibration magnitude extraction on bumpy road. Then, we combine the geographical information for classification, and use the classified results for e-bikes’ power assistant modes mapping. In this study, using accelerometer for vibration extraction is discovered firstly. The impacts on bumps and road flatness according to power assistant modes with different speeds are discovered secondly by data collection and analysis. We use these results for developing an adaptive system for electric bikes. While cycling, the adaptive system switches the power assistant mode automatically and notifies riders according to collected sensing data for road awareness. Finally, we will implement a system prototype to analyze the effect of switching the power assist level on vibration reduction and exhibit our system can effectively reduce manual switching power assistant levels and inhibit the vibration during cycling.
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author2 |
竇其仁 |
author_facet |
竇其仁 Chang Shun-Ming 張舜銘 |
author |
Chang Shun-Ming 張舜銘 |
spellingShingle |
Chang Shun-Ming 張舜銘 A Road-aware Adaptive Vibration Reduction System for E-bikes |
author_sort |
Chang Shun-Ming |
title |
A Road-aware Adaptive Vibration Reduction System for E-bikes |
title_short |
A Road-aware Adaptive Vibration Reduction System for E-bikes |
title_full |
A Road-aware Adaptive Vibration Reduction System for E-bikes |
title_fullStr |
A Road-aware Adaptive Vibration Reduction System for E-bikes |
title_full_unstemmed |
A Road-aware Adaptive Vibration Reduction System for E-bikes |
title_sort |
road-aware adaptive vibration reduction system for e-bikes |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/7u3f9c |
work_keys_str_mv |
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