质子交换膜燃料电池系统数字孪生故障诊断模型研究

Digital twin fault diagnosis model analysis of proton exchange membrane fuel cell systems

基于数字孪生的平行故障诊断方法通过检测和评估真实系统与数字孪生系统之间的残差进行故障诊断,相关数字孪生体基于质子交换膜燃料电池动力学模型和数据集合建立.如果残差向量超过故障检测阈值,则利用故障残差的相对敏感度执行故障隔离.本文将平行故障诊断方法引入质子交换膜燃料电池系统,构建了基于数字孪生估计器的平行故障诊断模型.仿真结果验证了所提出方法的有效性.本文最后给出质子交换膜燃料电池数字孪生故障诊断系统的物理架构,可以实现数据高效、稳定地传输与分析,为燃料电池的安全运行提供保障.

The parallel fault diagnosis method based on digital twin technology is carried out by detecting and evaluating the residual between the real system and its digital twin counterpart,where the latter is established by virtue of the dynamic model and data set obtained from the original system.If the residual vector comes cross the threshold of fault detection,fault isolation is performed utilizing the relative sensitivity of the fault residual.In this paper,the parallel fault diagnosis method is adopted in proton exchange membrane fuel cell(PEMFC)systems with the establishment of parallel fault diagnosis model based on the digital twin estimator.The feasibility of the proposed approach is verified by simulation experiments.Finally,the physical architecture of PEMFC digital twin fault diagnosis system is given,which can achieve efficient and stable data transmission and analyzed,and eventually provides a guarantee for the safe operation of PEMFC systems.