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| Content Provider | Springer Nature Link |
|---|---|
| Author | Cheon, D. S. Nam, K. H. |
| Copyright Year | 2017 |
| Abstract | This paper proposes a method to assist human force acting on electric bike without using costly torque sensors via a model-based impedance control technique. In general, electric bikes are classified into two categories, i.e., pedelec electric bikes and throttle electric bikes. We focus on the system called a pedelec electric bike. It assists human pedaling force using the pedaling information, e.g., pedaling force or speed. To obtain the human’s pedaling information in real-time, it needs physical sensors such as a torque sensor and a velocity sensor. But, these sensors are expensive and weak against external loads. Also, since these sensors are fixed directly to the forced component in a bike system, there are the risks of damage. For these reasons, sensor-less control methods based on a disturbance observer have been studied so far. In this paper, we have proposed a pedaling torque sensor-less power assist method and have applied it to the experimental pedelec electric bike. A power assist control algorithm, designed by employing an impedance model, consists of a PI-type feedback controller, an inverse model-based feedforward controller, and a pedaling torque observer. Finally, we performed experiments and confirmed the effectiveness of a proposed power assist control method. |
| Starting Page | 327 |
| Ending Page | 333 |
| Page Count | 7 |
| File Format | |
| ISSN | 12299138 |
| Journal | International Journal of Automotive Technology |
| Volume Number | 18 |
| Issue Number | 2 |
| e-ISSN | 19763832 |
| Language | English |
| Publisher | The Korean Society of Automotive Engineers |
| Publisher Date | 2017-01-12 |
| Publisher Place | Seoul |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Torque sensor-less control Impedance control Disturbance observer Power assist control Automotive Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering |
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