Design and Control of Intelligent Cooling System for IC Engine
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
1
OpenAIRE Views
2
Publicly Funded
No
Abstract
The engine cooling systems in the commercial vehicles have not developed as the other control systems despite the technological improvements. Additionally, researchers in the automotive industry and the universities have focused on the power production and the combustion. Therefore, the thermal management of internal combustion engines, which has the same importance, does not taken into consideration sufficiently. However, optimum management of heat transfer system in the engines has an important effect on many parameters such as the engine performance, lubrication quality, exhaust emissions and fuel efficiency. It is necessary to define the engine cooling fluid temperature and flow rate profiles, and to follow them sensitively by a controller system to be designed. In this paper, it is aimed to design and to produce a thermal management system for internal combustion engines in order to ensure optimal distribution of the heat transfer. The electrically driven coolant pump and DC motor controlled valve is considered as control inputs. Additionally, robust control approach based on lumped parameter control-oriented model of engine cooling system is presented. Finally, the proposed and traditional engine cooling systems are compared by means of exhaust emission values. © 2017 IEEE.
Description
Akdeniz University; IARES; IEEE
Keywords
Control System, Engine Cooling System, Internal Combustion Engines
Fields of Science
0101 mathematics, 01 natural sciences, 0104 chemical sciences
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
11
Source
-- 2017 International Conference on Engineering and Technology, ICET 2017 -- 2017-08-21 Through 2017-08-23 -- Antalya -- 135161
Volume
2018-January
Issue
Start Page
1
End Page
3
Collections
PlumX Metrics
Citations
Scopus : 14
Captures
Mendeley Readers : 14
SCOPUS™ Citations
14
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