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基于特征参数的 ECU 激励信号分段模型。

A Segmentation Model of ECU Excitation Signal Based on Characteristic Parameters.

机构信息

School of Information Engineering, Ningxia University, Yinchuan 750021, China.

出版信息

Sensors (Basel). 2021 Jun 17;21(12):4165. doi: 10.3390/s21124165.

Abstract

According to the basic structure and working principle of the excitation signal sensors of a diesel engine electronic control unit (ECU), a segmentation model of an ECU excitation signal based on characteristic parameters (ESCP-SM) is proposed. In the ESCP-SM, the ECU excitation signal is divided into several parts, and each part has its characteristic parameters model. By using the same global parameters and strictly controlling each part's proportional parameters, the ESCP-SM can achieve signal alignment and dynamic frequency modulation. Based on the simulation experiment, spectrum analysis proves that this modeling method ensures that the original signal's effective information is not lost. Pearson similarity analysis shows that the similarity between the simulation signal and practical signal reaches 74%, exhibiting strong correlation. In addition, we set up a physical testing environment. ESCP-SM is realized based on virtual instrument technology, and provides excitation signals for a Komatsu 8 ECU. By modifying the parameter configuration, the ECU can drive the injector to work correctly.

摘要

根据柴油机电子控制单元(ECU)激励信号传感器的基本结构和工作原理,提出了一种基于特征参数的 ECU 激励信号分段模型(ESCP-SM)。在 ESCP-SM 中,将 ECU 激励信号分为若干部分,每个部分都有其特征参数模型。通过使用相同的全局参数并严格控制每个部分的比例参数,ESCP-SM 可以实现信号对齐和动态频率调制。基于仿真实验,频谱分析证明了这种建模方法确保了原始信号的有效信息不会丢失。皮尔逊相似性分析表明,仿真信号与实际信号之间的相似度达到 74%,具有很强的相关性。此外,我们还建立了一个物理测试环境。基于虚拟仪器技术实现 ESCP-SM,并为 Komatsu 8 ECU 提供激励信号。通过修改参数配置,ECU 可以驱动喷油器正常工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7cd/8234288/2615a68a257a/sensors-21-04165-g001.jpg

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