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Characterizing and Detecting Surge and Co-Surge in Automotive Compressors

机译:在汽车压缩机中的表征和检测激增和共同激增

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The instability phenomena associated with compressor surge impose limitations on the operation of turbocharged engines because of undesired noise, engine torque capability constraints, and hardware strain. Characterizing and detecting surge is of interest, e.g., when defining the useful operating range for a compressor or for advanced online mitigation techniques. To that end, an intensity metric based on classical wave theory is proposed. The metric is computed based on measurements capturing the surge oscillations in either pressure or mass flow. The metric characterizes how powerful the surge oscillations are and is effectively a scaling of the oscillation amplitude with the thermodynamic conditions. An algorithm for computing the intensity and detecting surge is developed and demonstrated on a single-turbo I-engine and a twin-turbo V-engine application exhibiting deep surge and co-surge, respectively. The advantages of the metric are highlighted and differences in using pressure versus mass flow sensors for computing the oscillation amplitudes are discussed.
机译:由于不希望的噪声,发动机扭矩能力约束和硬件应变,与压缩机浪涌相关的不稳定现象对涡轮增压发动机的操作施加限制。表征和检测浪涌是感兴趣的,例如,在限定压缩机的有用操作范围或用于高级在线缓解技术时。为此,提出了一种基于古典波理论的强度度量。基于测量来计算度量,测量捕获压力或质量流量的浪涌振荡。度量表征浪涌振荡是多么强大,并且有效地具有热力学条件的振荡幅度的缩放。在单涡轮I发动机和表现出深浪涌和共同激增的双涡轮增压动机应用中,开发和演示了一种计算强度和检测浪涌的算法。讨论了度量的优点,并讨论了使用压力与用于计算振荡幅度的质量流量传感器的差异。

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