Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle

With increasing concern over the environment and ever stringent emissions regulations, the electric vehicle has been investigated as an alternative form of transportation. However, the electric vehicle suffers from relatively short range and long charging times and consequently has not become an acc...

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Main Authors:	Muhammad Ikram, Mohd Rashid, Hamdan, Daniyal, Mohd Ashraf, Ahmad
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26326/ http://umpir.ump.edu.my/id/eprint/26326/1/1.%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf http://umpir.ump.edu.my/id/eprint/26326/2/1.1%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf

id	ump-26326
recordtype	eprints
spelling	ump-263262019-12-23T01:32:01Z http://umpir.ump.edu.my/id/eprint/26326/ Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering With increasing concern over the environment and ever stringent emissions regulations, the electric vehicle has been investigated as an alternative form of transportation. However, the electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The challenge is to develop an efficient energy management strategy (EMS) to satisfy the objectives while not having a reduced vehicle performance. This project discusses the Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split PlugIn Hybrid Electric Vehicle. The Split Plug-in HEV is discussed in a new perspective from the EMS point of view. A thorough discussion is made encompassing the advantages and disadvantages of the concept, its performance compared to conventional HEVs and the way forward. The modelling and simulation capability of existing tools such as free model in Matlab Simulink is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed. Modelling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modelling examples. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26326/1/1.%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf pdf en http://umpir.ump.edu.my/id/eprint/26326/2/1.1%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf Muhammad Ikram, Mohd Rashid and Hamdan, Daniyal and Mohd Ashraf, Ahmad (2019) Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle. In: 5th International Conference on Electrical, Control and Computer Engineering (INECCE 2019), 29-30 July 2019 , Swiss Garden Kuantan. pp. 1-11.. (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 Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
description	With increasing concern over the environment and ever stringent emissions regulations, the electric vehicle has been investigated as an alternative form of transportation. However, the electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The challenge is to develop an efficient energy management strategy (EMS) to satisfy the objectives while not having a reduced vehicle performance. This project discusses the Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split PlugIn Hybrid Electric Vehicle. The Split Plug-in HEV is discussed in a new perspective from the EMS point of view. A thorough discussion is made encompassing the advantages and disadvantages of the concept, its performance compared to conventional HEVs and the way forward. The modelling and simulation capability of existing tools such as free model in Matlab Simulink is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed. Modelling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modelling examples.
format	Conference or Workshop Item
author	Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad
author_facet	Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad
author_sort	Muhammad Ikram, Mohd Rashid
title	Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
title_short	Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
title_full	Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
title_fullStr	Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
title_full_unstemmed	Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle
title_sort	hyperheuristics trajectory based optimization for energy management strategy (ems) of split plug-in hybrid electric vehicle
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26326/ http://umpir.ump.edu.my/id/eprint/26326/1/1.%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf http://umpir.ump.edu.my/id/eprint/26326/2/1.1%20Hyperheuristics%20trajectory%20based%20optimization%20for%20Energy%20Management%20Strategy.pdf
first_indexed	2023-09-18T22:40:55Z
last_indexed	2023-09-18T22:40:55Z
_version_	1777416908850593792

Hyperheuristics trajectory based optimization for Energy Management Strategy (EMS) of split plug-in hybrid electric vehicle

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