基于物联网的CVT电磁执行器:基本设计和原型制作

Q3 Engineering

International Journal of Powertrains Pub Date : 2022-01-01 DOI:10.1504/ijpt.2022.10045976

S. Ihsan, Ataur Rahman, Abdul Hassan Jaffar

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引用次数: 0

摘要

由于流体压力响应缓慢和流体粘度损失，目前的液压动力cvt在上坡时会产生运动不稳、咔嗒声和动力传递不均匀等问题。本文的目的是提出一种电磁驱动无级变速器(EMA-CVT)的设计和原型。通过对无级变速器夹紧力和电磁力的运动学分析，对无级变速器进行了建模。通过将模糊逻辑控制器CVT、轮速传感器、CVT轮位置传感器和CVT副轮转速传感器集成在一起，开发了一种物联网(IoT)来控制EMA-CVT齿轮比例。模糊控制器用于控制EMA的电流供应。CVT具有故障安全模式，允许在物联网系统的任何传感器发生故障时手动调整传动比。EMA开发的电磁力范围为185-266 N，电源电流范围为3-3.7安培。

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IoT-based electromagnetic actuator for CVT: basic design and prototyping

Resulting from the slow fluid pressure responses and fluid viscosity loss, the present hydraulic-powered CVTs produce jerky movements, rattling noise and unequal power transmission at uphill climbing. The aim of this article is to present a design and prototyping of an electromagnetic actuated continuously variable transmission (EMA-CVT). Using the kinematics analysis of CVT clamping forces and electromagnetic forces, the EMA-CVT is modelled. An internet of things (IoT) has been developed to control the EMA-CVT gear ration with integrating a fuzzy logic controller CVT, wheel speed sensor, CVT pulley position sensor, and CVT secondary pulley revolution sensor. The fuzzy logic controller is used to control the current supply to the EMA. The CVT has a failsafe mode that allows to manually adjust the gear ratio if any of the sensor of the IoT system malfunctions. The EMA develops the electromagnetic force in the range of 185–266 N for the supply current in the range of 3–3.7 amps.

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来源期刊

International Journal of Powertrains Engineering-Automotive Engineering

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： IJPT addresses novel scientific/technological results contributing to advancing powertrain technology, from components/subsystems to system integration/controls. Focus is primarily but not exclusively on ground vehicle applications. IJPT''s perspective is largely inspired by the fact that many innovations in powertrain advancement are only possible due to synergies between mechanical design, mechanisms, mechatronics, controls, networking system integration, etc. The science behind these is characterised by physical phenomena across the range of physics (multiphysics) and scale of motion (multiscale) governing the behaviour of components/subsystems.