A Road-aware Adaptive Vibration Reduction System for E-bikes

• Main Authors: Chang Shun-Ming, 張舜銘
• Other Authors: 竇其仁
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/7u3f9c

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.