Published December 2017 | Version v1
Journal article

A simple algebraic model for predicting HCCI auto-ignition timing according to control oriented models requirements

  • 1. Babol Noshirvani University of Technology (Iran, Islamic Republic of)

Description

Highlights: • A new simple algebraic correlation is introduced to predict SOC in HCCI engines. • The correlation calculates SOC due to engine parameters and initial conditions. • Results show good accuracy, majority of them are inside the acceptable 2 CAD range. • The correlation high speed calculation is suitable for control-oriented models. - Abstract: The major challenge in Homogeneous Charge Compression Ignition (HCCI) combustion is the difficulty to control auto-ignition timing. It has been shown that HCCI combustion is governed by chemical kinetics; therefore it is highly dependent on fuel/air mixture properties. Auto-ignition timing or Start of Combustion (SOC) is usually characterized by the crank angle where 5% of fuel is consumed. Understanding the effect of charge properties on SOC is essential to establish a model with the capability of predicting the auto-ignition timing. Despite the extensive work done on control-oriented modeling of HCCI ignition timing, there is still a need to improved real-time models with easily-measured inputs considering engine working conditions. The purpose of this paper is to introduce a real-time model for predicting HCCI auto-ignition timing. Thus a new correlation similar to Mean Value Method (MVM) equations has been introduced. This correlation named as Simple Algebraic Model (SAM) is based in the effects of inlet parameters on SOC. SAM has been employed to reduce runtime in control-oriented models such as Modified Knock Integral Model (MKIM). Results show the acceptable accuracy in prediction of SOC for control applications and noticeable increase in calculation speed in contrast with MKIM.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2017.10.056

Additional details

Identifiers

DOI
10.1016/j.enconman.2017.10.056;
PII
S0196890417309883;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
154
Journal Page Range
p. 38-45
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51008597
Subject category
S42: ENGINEERING;
Descriptors DEI
ACCURACY; COMBUSTION; COMPRESSION; CONTROL; CORRELATIONS; ENGINES; EQUATIONS; FORECASTING; FUELS; IGNITION; SIMULATION; VELOCITY
Descriptors DEC
CHEMICAL REACTIONS; OXIDATION; THERMOCHEMICAL PROCESSES

Optional Information

Notes
© 2017 Elsevier Ltd. All rights reserved.