用哈里斯·霍克斯优化算法对SRM驱动器进行增强的当前切割控制策略

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Ameer L Saleh¹, Fahad Al-Amyal², László Számel³

¹Budapest University of Technology and Economics, Department of Electric Power Engineering, H-1111 Budapest, Hungary; Department of Electrical Engineering, University of Misan, Misan 62001, Iraq.

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|May 19, 2024

概括

本研究介绍了开关阻力电机 (SRM) 驱动器的优化电流切割控制 (CCC),通过减少扭矩波动和提高效率来提高电动汽车性能. 哈里斯·霍克斯优化 (HHO) 方法找到最佳切换角度,以获得更好的加速和更长的电池寿命.

科学领域:

电气工程电气工程
控制系统控制系统
汽车技术汽车技术

背景情况:

开关阻力电机 (SRM) 驱动器对于电动汽车 (EV) 非常重要,因为它们的稳定性和成本效益.
当前切割控制 (CCC) 是SRM驱动器的常见策略,但需要优化以达到峰值性能.
满足电动汽车对降低噪音,增强加速和延长电池寿命的需求,需要先进的控制策略.

研究的目的:

为SRM驱动器制定一个针对电动汽车要求的优化电流切割控制 (CCC) 策略.
为了最大限度地减少扭矩波动,减少振动和声噪声.
为了最大限度地提高输出扭矩以改善加速,并提高扩大电动汽车范围的整体驱动效率.

主要方法:

对SRM驱动控制变量 (切换角度) 的优化问题的制定和离线解决.
利用一个多目标功能,结合扭矩波动,平均扭矩和效率.
应用哈里斯·霍克斯优化 (HHO) 算法,以找到最佳切换角度,考虑非线性SRM特征和约束.

主要成果:

HHO算法有效地确定了CCC策略的最佳切换角度.
拟议的基于HHO的CCC驱动器在模拟和实验中表现出卓越的性能.
对比分析证实了优势,而不是修改粒子群优化 (MPSO) 和分析CCC方法.

结论:

基于HHO的优化CCC为提高电动汽车SRM驱动性能提供了有效的解决方案.
这种方法成功地平衡了扭矩波动,扭矩最大化和效率的竞争目标.
这些发现支持在下一代电动汽车动力系统中采用HHO优化的CCC.

关键词:

目前的切割控制控制器哈里斯·霍克斯优化优化切换的不情愿电机切换的不情愿电机切换角度优化切换角度优化扭矩波动最小化最大化方法

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