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  • 标题:Virtual torque sensor for electrical bicycles
  • 本地全文:下载
  • 作者:Berno J.E. Misgeld ; Lukas Bergmann ; Bence Szilasi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8903-8908
  • DOI:10.1016/j.ifacol.2020.12.1412
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe present a novel approach to the reconstruction of the physical pedalling torque in an electrically powered bicycle. The external force due to the road slope that is acting on the bicycle is estimated employing the reconstruction of the inclination angle with an orthogonal filter. This orthogonal filter uses an adaptive weighting between gyroscope and accelerometer sensor data. The applied weighting function is based on the bicycle’s acceleration, estimated from a bicycle velocity sensor. By employing a nonlinear physical model of the bicycle, the cyclist’s pedalling torque is reconstructed with an Unscented Kalman Filter. Experimental results from the inclination angle estimator and virtual torque sensor for different road slopes underline the performance of the proposed approach.
  • 关键词:KeywordsE-bikeorthogonal filterMEMSUnscented Kalman Filterbicyclevirtual sensor
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