在充电模块中的电流传感器的故障诊断基于自适应滑动模式观察器
Pengfei Huang1, Jie Liu1, Jiaxin Wang2
1China Three Gorges Corporation Hubei Province, Wuhan 430000, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究引入了一个自适应滑动模式观察器 (SMO) 用于诊断直流充电中的电流传感器 (CS) 故障. 该方法有效检测各种CS故障,确保可靠的充电操作.
科学领域:
- 电气工程 电气工程
- 电力电子 电力电子 电力电子
- 错误诊断 错误诊断 错误诊断 是一个
背景情况:
- 电流传感器 (CS) 是直流充电堆中的关键组件,它们的故障会破坏充电操作.
- 现有的故障诊断方法可能缺乏稳定性或在初始故障检测方面扎.
研究的目的:
- 为DC充电堆转换器中的CS提出一种新的故障诊断方法.
- 提高电动汽车充电基础设施的可靠性和安全性.
主要方法:
- 为具有CS故障的相位移全桥转换器 (PSFB) 建立了一个故障模型.
- 使用系统增强和非单一坐标转换进行了断层重建.
- 一个自适应滑动模式观察器 (SMO) 设计用于状态估计和故障检测.
主要成果:
- 适应性SMO有效地估计了重建状态,生成了一个故障检测变量.
- 适应性值是使用可靠故障检测规范来设计的.
- 该方法成功诊断了CSs的初始,显著和失败故障.
- 实验结果证实了该方法在电压和负载波动下的有效性和稳定性.
结论:
- 拟议的基于SMO的适应性故障诊断方法对DC充电中的CS有效.
- 该方法证明了对直流电压和负载变化的稳定性.
- 这种方法有助于提高电动汽车充电系统的可靠性和安全性.
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