An Innovative Rail Pressure Sensor Signal Processing Algorithm to Determine the Start of Injection and End of Injection of Diesel Engines With Common Rail Injection Systems | Zendy

Qinmiao Kang | Zendy; Yong Li | Zendy; Zhifeng Xie | Zendy; Yongquan Liu | Zendy; Ming Zhou | Zendy

Open Access

An Innovative Rail Pressure Sensor Signal Processing Algorithm to Determine the Start of Injection and End of Injection of Diesel Engines With Common Rail Injection Systems

Author(s) -

Qinmiao Kang,

Yong Li,

Zhifeng Xie,

Yongquan Liu,

Ming Zhou

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2876495

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper proposes an innovative rail pressure sensor signal processing algorithm to determine the start of injection and end of injection for single or multiple injections of diesel engines with a common rail injection system (CRIS). The importance of fuel injection timing (FIT) and fuel injection volume (FIV) in the CRIS is discussed, as well as the current progress of research in this field. The working principle of a solenoid valve injector is also described, pressure wave propagation is analyzed, and the characteristics of pressure waves are studied by simulation and experiments. The proposed algorithm has high reliability and flexibility and can be adjusted in real time according to engine operating status. The algorithm can effectively avoid the defects and shortcomings of traditional engine matching calibration, enhance the control precision of the FIT and FIV, improve the consistency and stability of fuel injection, and is expected to promote the performance of engine on fuel economy and pollutant emissions. The hardware implementation of this algorithm in practical ECU is also presented.

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