Research on Temperature Compensation Algorithm in Torque Sensor of E-bike

DOI

10.2991/icmemtc-16.2016.110How to use a DOI?

Keywords

Torque sensor; Surface fitting; Least-square method; NRF24LE1.

Abstract

When using torque sensor consisting of resistance strain gauge for the torque measurement in the E-bike, there is a nonlinear problem affected by temperature. In order to solve it, the surface fitting algorithm based on least-square method is proposed in this paper. Based on the error analysis of the torque sensor and the feasibility analysis of the system, the surface fitting algorithm is designed and implemented in the microprocessor NRF24LE1. The test results indicate that the algorithm works well with high stability and accuracy. The algorithm has great value of application with significant compensation effect, which provides a technical selection for the development and improvement of the E-bike.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiadong Zhang
AU  - Yunfei Li
AU  - Juncheng Jia
PY  - 2016/04
DA  - 2016/04
TI  - Research on Temperature Compensation Algorithm in Torque Sensor of E-bike
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 566
EP  - 569
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.110
DO  - 10.2991/icmemtc-16.2016.110
ID  - Zhang2016/04
ER  -