Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.

Energy management is one of the key issues in designing different types of hybrid vehicles, including cars, buses and trains. In this paper a hybrid train is studied in three modes of operation, using three different power sources. In order to keep the energy consumption at an optimum level, it is n...

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Main Authors: Mirabadi, Ahmad, Najafi, M.
Format: Article
Language:English
Published: UiTM Press 2010
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/13731/
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author Mirabadi, Ahmad
Najafi, M.
author_facet Mirabadi, Ahmad
Najafi, M.
author_sort Mirabadi, Ahmad
building UiTM Institutional Repository
collection Online Access
description Energy management is one of the key issues in designing different types of hybrid vehicles, including cars, buses and trains. In this paper a hybrid train is studied in three modes of operation, using three different power sources. In order to keep the energy consumption at an optimum level, it is necessary to consider the characteristics of all the system's elements and also their optimum point of service. A fuzzy logic based energy management system has been designed and implemented. The underlying subject of the fuzzy based energy management system is to optimize the efficiency of internal combustion engine, ICE, considering the other power sources as flywheel and battery. Simulation results have been used to evaluate the performance of the fuzzy logic energy management system.
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spelling uitm-137312016-07-25T03:13:19Z https://ir.uitm.edu.my/id/eprint/13731/ Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M. jmeche Mirabadi, Ahmad Najafi, M. Production of electric energy or power Electric power distribution. Electric power transmission Energy management is one of the key issues in designing different types of hybrid vehicles, including cars, buses and trains. In this paper a hybrid train is studied in three modes of operation, using three different power sources. In order to keep the energy consumption at an optimum level, it is necessary to consider the characteristics of all the system's elements and also their optimum point of service. A fuzzy logic based energy management system has been designed and implemented. The underlying subject of the fuzzy based energy management system is to optimize the efficiency of internal combustion engine, ICE, considering the other power sources as flywheel and battery. Simulation results have been used to evaluate the performance of the fuzzy logic energy management system. UiTM Press 2010 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/13731/1/AJ_AHMAD%20MIRABADI%20JME%2010.pdf Mirabadi, Ahmad and Najafi, M. (2010) Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M. (2010) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 7 (1). pp. 35-46. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/
spellingShingle Production of electric energy or power
Electric power distribution. Electric power transmission
Mirabadi, Ahmad
Najafi, M.
Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title_full Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title_fullStr Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title_full_unstemmed Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title_short Fuzzy based energy management algorithm for hybrid train systems / Ahmad Mirabadi and Najafi M.
title_sort fuzzy based energy management algorithm for hybrid train systems / ahmad mirabadi and najafi m.
topic Production of electric energy or power
Electric power distribution. Electric power transmission
url https://ir.uitm.edu.my/id/eprint/13731/
https://ir.uitm.edu.my/id/eprint/13731/