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Torque Measurement and Control for Electric-Assisted Bike Considering Different External Load Conditions.

Ping-Jui Ho1, Chen-Pei Yi1, Yi-Jen Lin1

  • 1Department of Mechanical Engineering, National Taiwan University, Taipei 106319, Taiwan.

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Summary

This study introduces adaptive torque control for electric bikes (E-bikes) to manage external loads like weight and wind. Optimized motor torque improves E-bike acceleration and rider experience.

Keywords:
E-bike cycling qualityE-bike pedaling powerelectric-assisted bicyclepermanent magnet motortwo-wheeler simulation

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Area of Science:

  • * Engineering
  • * Robotics
  • * Sustainable Transportation

Background:

  • * Electric bikes (E-bikes) utilize permanent magnet (PM) motors for torque assistance, reducing rider pedaling effort.
  • * External factors such as cyclist weight, wind resistance, rolling resistance, and road slope significantly influence overall E-bike torque dynamics.
  • * Adaptive control is crucial for maintaining optimal performance under varying load conditions.

Purpose of the Study:

  • * To propose a novel torque measurement and control technique for E-bikes.
  • * To develop adaptive motor torque control strategies that account for diverse external load conditions.
  • * To enhance the dynamic response and acceleration consistency of E-bikes.

Main Methods:

  • * Analysis of key E-bike riding parameters to determine optimal assisted motor torque.
  • * Development and evaluation of four distinct motor torque control methods.
  • * Creation of a comprehensive E-bike simulation environment using MATLAB/Simulink.
  • * Implementation and verification of an integrated E-bike sensor hardware system.

Main Results:

  • * Wheel acceleration was identified as a critical factor for synergetic torque performance in E-bikes.
  • * Proposed adaptive torque control methods demonstrated improved dynamic response and minimal acceleration variation.
  • * Simulation results validated the effectiveness of the adaptive control strategies.

Conclusions:

  • * Adaptive torque control is essential for optimizing E-bike performance across various external loads.
  • * The developed technique and control methods enhance rider experience by ensuring consistent acceleration.
  • * Experimental validation confirmed the practical applicability of the proposed E-bike torque control system.