SIMULATION OF ELECTRONIC IGNITION SYSTEM

Abstract

This paper is composed of different experimental examples which are related with the typical design tasks for an automotive engineer. It is aimed to be shown in these examples that how efficient Math works modeling and simulation tools are. The paper includes the examples of Simulink® and State Flow TM which provide greater flexibility in the designing of automotive control systems. Each of the examples defines the principles of a real life physical scenario and provides the mathematical representations of these in terms of equations. These experiments show that how to proceed for a Simulink model from these equations. After the completion of modeling, simulations have been run and conclusions are drawn from the outcomes obtained from these simulations.

ABSTRACT2

SIMULATION OF ELECTRONIC IGNITION SYSTEM5

CHAPTER 1: INTRODUCTION5

Background of the Study5

CHAPTER 2: LITERATURE REVIEW7

Electronic Ignition System7

IGNITION SYSTEM WITH INDUCTIVE ENERGY STORAGE10

Electronic Ignition Control12

Saturation of the ignition coil15

Ignition system with capacitive energy storage17

Plug Contact Ignition System18

Physical Models in the Simulink Project20

Modeling the Open Loop Simulation24

Intake and Compression26

CHAPTER 3: METHODOLOGY29

Design Consideration30

Air-Fuel Control System30

Software Implementation32

CHAPTER 4: RESULTS AND DISCUSSIONS34

EXAMPLE NUMBER THREE34

FIGURE [1] ENGINE COMPREHENSIVE MODEL BY SIMULINK36

Design of virtual engine ecu36

Instant test36

Compression ignition (diesel) engine (Simulink model)38

RESULTS38

EXAMPLE 440

THROTTLE BODY MODEL40

Simulations Results41

Pattern utilizing Air Mass Sensor41

Baseline using Air Mass Sensor41

The ignition system45

Closed Loop and Open Loop Control45

Physical behavior49

Cutoffs51

CHAPTER 5: CONCLUSION AND FUTURE RECOMMENDATIONS53

Future Recommendations54

REFERENCES57

Simulation of Electronic Ignition System

CHAPTER 1: INTRODUCTION

The software based modeling and testing of Physical system has become very common for the state of the art scientific researchers and design engineers. Engineers around the globe highly rely on the result of the simulation obtained from the software based mathematical models in order to observe the potential strengths and weaknesses in their designs with precision and help them to make amendments quickly, efficiently and economically. In this paper we are going to discuss the multiple experimental examples which are related to the automotive designing and will try to put greater emphasize of the simulation and modeling of electronic ignition system of a car by the help of Simulink® based modeling. We will go through different examples which are related to the modeling of a car and their simulations and will have a deep insight on the electronic ignition system of a car and its modeling.

Background of the Study

Behavioral modeling is a fast, efficient and easy manner to establish a given theory and more importantly the most efficient manner to develop a direct comparison between competing methods. The voltage control scheme is the basis for more advanced control schemes. In, a Simulink implementation of voltage controlled buck converter is presented. Voltage control has a slow transient response due to the bandwidth limitation of the error amplifier in the feedback path. The DC-DC converter is inherently a high ripple system and to exploit this feature current mode control was widely used for better transient response to line variation. However this approach depends on error amplifier speed to control load variation. The continuous time model of current mode control is developed ...