Simulated annealing optimization for energy management strategy of HEV

Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars...

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Main Authors:	Asrul Sani, Ramli, Muhammad Ikram, Mohd Rashid
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24588/ http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf

id	ump-24588
recordtype	eprints
spelling	ump-245882019-03-27T05:20:39Z http://umpir.ump.edu.my/id/eprint/24588/ Simulated annealing optimization for energy management strategy of HEV Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example are widely used to solve many engineering problem. The main contribution of this paper is on gain tuning. This is because the control parameter is gain in the Simulink Model which is being optimize using the algorithm chosen. Universiti Malaysia Pahang 2018-12 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf pdf en http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf Asrul Sani, Ramli and Muhammad Ikram, Mohd Rashid (2018) Simulated annealing optimization for energy management strategy of HEV. In: The 1st MACE Research Symposium (MaRS 2018), 12-13 Disember 2018 , Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. pp. 1-6.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid Simulated annealing optimization for energy management strategy of HEV
description	Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example are widely used to solve many engineering problem. The main contribution of this paper is on gain tuning. This is because the control parameter is gain in the Simulink Model which is being optimize using the algorithm chosen.
format	Conference or Workshop Item
author	Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid
author_facet	Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid
author_sort	Asrul Sani, Ramli
title	Simulated annealing optimization for energy management strategy of HEV
title_short	Simulated annealing optimization for energy management strategy of HEV
title_full	Simulated annealing optimization for energy management strategy of HEV
title_fullStr	Simulated annealing optimization for energy management strategy of HEV
title_full_unstemmed	Simulated annealing optimization for energy management strategy of HEV
title_sort	simulated annealing optimization for energy management strategy of hev
publisher	Universiti Malaysia Pahang
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24588/ http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf
first_indexed	2023-09-18T22:37:18Z
last_indexed	2023-09-18T22:37:18Z
_version_	1777416681131343872

Simulated annealing optimization for energy management strategy of HEV

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