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Type: Journal article
Title: Intelligent energy management control of vehicle air conditioning via look-ahead system
Author: Khayyam, H.
Nahavandi, S.
Hu, E.
Kouzani, A.
Chonka, A.
Abawajy, J.
Marano, V.
Davis, S.
Citation: Applied Thermal Engineering, 2011; 31(16):3147-3160
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2011
ISSN: 1359-4311
Statement of
Hamid Khayyam, Saeid Nahavandi, Eric Hu, Abbas Kouzani, Ashley Chonka, Jemal Abawajy, Vincenzo Marano and Sam Davis
Abstract: Air conditioning systems (A/C) significantly increase the energy consumption of a vehicle and negatively influence its performance. A/C can be considered the main auxiliary load on a vehicle engine when it is operating. Thus, there are significant savings to be made by operating an A/C system smartly, both in terms of running costs and the effect on the environment. This paper presents an intelligent energy management system that is able to reduce the energy consumption of a vehicle with an air conditioning system and improve its efficiency by using the look-ahead system uses information from various information systems to make intelligent decisions. The new energy management system features: a prediction of road power demand by using look-ahead control of vehicle systems, an intelligent control strategy to manage the operation of the A/C, the blower, and the gates, to provide the optimum comfort temperature with the consideration of the in cabin air quality while minimizing energy consumption. Two simulations are performed by using the developed fuzzy air conditioning enhanced look-ahead System and ordinary fuzzy air conditioning and then the results are compared together with the results from Coordinated Energy Management System (CEMS). The results of fuzzy air conditioning enhanced with look-ahead system demonstrate it is capable of saving 12% and 3% more energy comparing with CEMS and ordinary fuzzy air conditioning system respectively. © 2011 Elsevier Ltd.
Keywords: Energy management
Air conditioning
Look-ahead algorithm
Intelligent control, fuzzy control
Information system
Intelligent vehicle air conditioning
Rights: Crown Copyright 2011 Published by Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.applthermaleng.2011.05.023
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Appears in Collections:Aurora harvest
Environment Institute publications
Mechanical Engineering publications

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