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research-article

In-cylinder Pressure based LP-EGR Estimation Methods for Turbocharged GDI Engines

[+] Author and Article Information
Donghyuk Jung

Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea
dh1776@naver.com

Haksu Kim

Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea
yomovs@naver.com

Seungwoo Hong

Research & Development Division, Hyundai Motor Company, 150 Hyundaiyeonguso-ro Namyang-eup, Hwaseong, 18280, Korea
swhong@hyundai.com

Yeongseop Park

Research & Development Division, Hyundai Motor Company, 150 Hyundaiyeonguso-ro Namyang-eup, Hwaseong, 18280, Korea
ypark@hyundai.com

Hyungbok Lee

Research & Development Division, Hyundai Motor Company, 150 Hyundaiyeonguso-ro Namyang-eup, Hwaseong, 18280, Korea
hyungbok.lee@hyundai.com

Donghee Han

Research & Development Division, Hyundai Motor Company, 150 Hyundaiyeonguso-ro Namyang-eup, Hwaseong, 18280, Korea
dh@hyundai.com

Manbae Han

Professor, Department of Mechanical and Automotive Engineering, Keimyung University, 1095 Dalgubeol-daero, Daegu, 42601, Korea
mbhan2002@kmu.ac.kr

Myoungho Sunwoo

Professor, Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea
msunwoo@hanyang.ac.kr

1Corresponding author.

ASME doi:10.1115/1.4040578 History: Received May 18, 2018; Revised May 28, 2018

Abstract

This paper proposes three different methods to estimate the low-pressure cooled exhaust gas recirculation (LP-EGR) mass flow rate based on in-cylinder pressure measurements. The proposed LP-EGR models are designed with various combustion parameters, which are derived from (1) heat release analysis, (2) central moment calculation, and (3) principal component analysis (PCA). The heat release provides valuable insights into the combustion process, such as flame speed and energy release. The central moment calculation enables quantitative representations of the shape characteristics in the cylinder pressure. The PCA also allows the extraction of the influential features through simple mathematical calculations. In this paper, these approaches focus on extracting the combustion parameters that are highly correlated to the diluent effects of the LP-EGR, and the parameters are used as the input states of the polynomial regression models. Moreover, in order to resolve the effects of cycle-to-cycle variations on the estimation results, a static model based Kalman filter is applied to the combustion parameters for the practically usable estimation. The fast and precise performance of the proposed models was validated in real-time engine experiments under steady and transient conditions. The proposed LP-EGR mass flow model was demonstrated under a wide range of steady states with an R2 value over 0.98. The instantaneous response of the cycle-basis LP-EGR estimation was validated under transient operations.

Copyright (c) 2018 by ASME
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