A Control Oriented Model Development for Fuel Delivering Structure of a Port Injection Based System

Paper #:
  • 2011-32-0627

Published:
  • 2011-11-08
Pages:
10
Abstract:
In recent years the fuel injection technology has taken a great leap in two-wheeler industries both in terms of having lean emissions and in terms of improving efficiency. Especially in a market like India where fuel efficiency is given, as prime importance and fuel contamination duly exists, it becomes all the more a bigger challenge to address to these kinds of problems by some means.The main function of the fuel system is to make sure right amount of fuel is injected into the intake manifold at right time with the help of Electronic Control Unit. Variation from the right quantity and quality of fuel leads to partial burning and finally to more emissions and poor performance. So monitoring fuel pressure, there by the quantity and fuel quality is very much important to reduce emissions and to achieve desired performance.The entire fuel delivery system is split into several sub systems viz: fuel pump - a PMDC (permanent magnet DC motor) motor to pressurize the fuel coming out of the fuel tank, fuel regulator - spring type mechanical regulator to maintain the pressure near to 2.5 bar (2.5*10⁵ Pascal) constant, fuel rail - to hold the pressurized and regulated fuel for the system and injector - opens up for the desired quantity of the fuel into intake manifold with help of engine control unit acting as trigger to it.In the first phase of this paper, a 1st principles-based mathematical model of the fuel system is proposed.This model helps to understand the dynamic behavior of the system. The work is further extended by developing another dynamic model using system identification tools. Both the models are validated with experimental results.The main aim of this paper is to develop a control-oriented model, which replicates the behavior of the actual plant. The above models are compared for the computational efficiency, as one of the above models will be used for designing different control strategies in future.
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