基于模糊逻辑的反应功率控制,用于提高电动汽车驱动器的功率因子
Harshit Mohan1, Arvind Kumar2, Nitin Kumar Saxena3
1Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, India. harshit.mohan@ddn.upes.ac.in.
Scientific reports
|January 16, 2026
概括
本研究介绍了用于电动汽车感应电机驱动器的模糊逻辑控制器,以提高功率因子. 该方法可以提高能源效率,而不需要复杂的流量估计器,这对于不规则的电动汽车驾驶周期至关重要.
科学领域:
- 电气工程 电气工程
- 汽车工程 汽车工程
- 控制系统 控制系统
背景情况:
- 感应电机 (IM) 由于其优势,在电动汽车 (EV) 驱动器中普遍存在.
- 目前的速度控制算法 (DTC,FOC,DPC) 通常缺乏补充的能源效率,特别是在不规则的电动汽车驱动周期的情况下.
- 有效的功率因子控制对于优化电动汽车性能和能源消耗至关重要.
研究的目的:
- 为电动汽车中的IM驱动器开发和评估基于模糊逻辑的反应功率控制策略.
- 通过智能地管理反应功率流量来提高IM驱动器的功率系数.
- 通过消除复杂流量估计器和观察员的需要,简化控制.
主要方法:
- 设计了一个模糊逻辑控制器,以基于参考转速和扭矩命令来控制反应功率流.
- 拟议的模糊逻辑控制被实施并测试在0.75千瓦的感应电机驱动器上.
- 使用广泛的电动汽车驾驶周期进行了广泛的模拟和实验研究.
- 性能与广泛使用的面向现场控制 (FOC) 方案进行了比较.
主要成果:
- 基于模糊逻辑的反应功率控制显著改善了各种电动汽车驾驶条件的功率因子.
- 提出的方法在不需要复杂的流量估计器或观察员的情况下证明了有效性.
- 这种技术在模拟和实验中与传统的FOC方案相比,显示出更高的性能.
结论:
- 基于模糊逻辑的反应功率控制提供了一种有效和简化的方法来提高电动汽车感应电机驱动器的功率因子和能源效率.
- 这种方法特别有利于解决不规则的电动汽车驱动周期带来的挑战.
- 提出的技术为改善电动汽车动力系统的整体性能和能源管理提供了一个可行的替代方案.
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