电动辅助自行车的扭矩测量和控制,考虑到不同的外部负载条件
Ping-Jui Ho1, Chen-Pei Yi1, Yi-Jen Lin1
1Department of Mechanical Engineering, National Taiwan University, Taipei 106319, Taiwan.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究介绍了电动自行车 (E-bike) 的自适应扭矩控制,以管理重量和风等外部负载. 优化的电机扭矩提高了电动自行车的加速和骑手体验.
科学领域:
- * 工程 * 工程师 *
- * 机器人技术 机器人技术
- * 可持续的交通运输
背景情况:
- *电动自行车 (E-bikes) 使用永久磁铁 (PM) 电机提供扭矩辅助,减少骑手踩踏力.
- * 外部因素,如骑自行车的重量,风力阻力,滚动阻力和道路坡度显著影响电动自行车的整体扭矩动力学.
- * 适应性控制对于在不同的负载条件下保持最佳性能至关重要.
研究的目的:
- *为电动自行车提出一种新的扭矩测量和控制技术.
- * 开发适应性电机扭矩控制策略,考虑到各种外部负载条件.
- * 提高电动自行车的动态响应和加速一致性.
主要方法:
- *对电动自行车行驶关键参数的分析,以确定最佳的辅助电机扭矩.
- * 开发和评估四种不同的电机扭矩控制方法.
- *使用MATLAB/Simulink创建一个全面的电动自行车模拟环境.
- * 实现和验证一个集成的电动自行车传感器硬件系统.
主要成果:
- * 轮子加速被确定为电动自行车协同扭矩性能的一个关键因素.
- * 拟议的自适应扭矩控制方法证明了更好的动态响应和最小的加速度变化.
- *模拟结果验证了自适应控制策略的有效性.
结论:
- * 适应扭矩控制对于优化电动自行车在各种外部负载上的性能至关重要.
- *开发的技术和控制方法通过确保一致的加速来增强骑手的体验.
- * 实验验证证了拟议的电动自行车扭矩控制系统的实际适用性.
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