Position Sensorless SRM Drive Using SMO for PV Integrated Battery Powered Light Electric Vehicle With Regenerative Braking Capability

Gurmeet Singh;Arjun Kumar;Bhim Singh
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Abstract

The position sensor of a switched reluctance motor (SRM) drive significantly contributes to cost of a light electric vehicle (LEV) system. This article aims to develop an economical LEV system by introducing a position sensorless algorithm using a sliding mode observer for a solar PV-battery powered SRM drive. This algorithm does not rely on magnetic data in look-up tables and calculates the instantaneous phase inductance as a function of phase current and rotor position online. Estimated and actual positions of the SRM are compared. Additionally, drive system supports regenerative braking to recover kinetic energy back into the battery, enhancing LEV's range. The integration of a solar PV panel extends driving miles by charging the battery at low speeds and standstill and supplying extra current at higher speeds or under load. A Cuk dc–dc converter manages the power flow for battery charging and discharging. An experimental prototype of this drive system is developed and validated in design and control of solar PV-battery powered SRM-based LEV system.
基于SMO的无位置传感器SRM驱动用于具有再生制动能力的光伏集成电池供电轻型电动汽车
开关磁阻电机(SRM)驱动器的位置传感器对轻型电动汽车(LEV)系统的成本有很大的影响。本文旨在通过为太阳能光伏电池驱动的SRM驱动器引入使用滑模观测器的无位置传感器算法来开发经济的LEV系统。该算法不依赖于查找表中的磁数据,而是在线计算瞬时相电感作为相电流和转子位置的函数。对SRM的估计位置和实际位置进行了比较。此外,驱动系统支持再生制动,以回收动能回电池,提高LEV的范围。集成的太阳能光伏板通过在低速和静止状态下给电池充电,在高速或负载下提供额外的电流,延长了行驶里程。Cuk dc-dc转换器管理电池充电和放电的功率流。开发了该驱动系统的实验样机,并在太阳能光伏电池驱动的srm LEV系统的设计和控制中进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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