空气压缩机
汽车工程
信号(编程语言)
质量流
噪音(视频)
气体压缩机
瞬态(计算机编程)
控制系统
工程类
计算机科学
控制理论(社会学)
电气工程
机械工程
控制(管理)
物理
操作系统
图像(数学)
热力学
人工智能
程序设计语言
作者
M. K. Eisner,Z. Zhou,V. Formanski,R. M. Kennel
标识
DOI:10.1049/icp.2022.1036
摘要
In the operation of fuel cell electric vehicles, one of the main challenges is to optimise the transient behaviour of the fuel cell system. This mostly concerns the air supply control as the limiting factor of the system's dynamic response. Most of the advanced model-based control approaches that have been proposed in the literature for this control problem require the measurement of the air supply mass flow. In this paper, a mass flow model for a compressor with an air bearing is introduced for improving the signal quality of the available mass flow sensor in a prototype fuel cell electric vehicle. By using the model value instead of the sensor signal, the amplitude of noise is decreased by up to a factor of ten. In contrast to conventional signal filters like moving average filters, the dynamic response of the system is correctly displayed. This leads to a more excelling air mass flow control with less changes in the compressor rotational speed, and thus an improved power control of the fuel cell system. Furthermore, the mechanical stress on the compressor hardware is reduced. As a result, less degradation and component failures are to be expected.
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