Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)

This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of...

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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:
Online Access:http://umpir.ump.edu.my/id/eprint/26053/
http://umpir.ump.edu.my/id/eprint/26053/
http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf
http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf
id ump-26053
recordtype eprints
spelling ump-260532019-12-20T07:12:28Z http://umpir.ump.edu.my/id/eprint/26053/ Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain are controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf pdf en http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf Muhammad Ikram, Mohd Rashid and Hamdan, Daniyal and Mohd Ashraf, Ahmad (2019) Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED). In: Advances in Swarm Intelligence. ICSI 2019: International Conference on Swarm Intelligence, 26-30 July 2019 , Chiang Mai, Thailand. pp. 1-7., 11656. ISBN 978-3-030-26354-6 https://doi.org/10.1007/978-3-030-26354-6_37
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
Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
description This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain are controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance
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 Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
title_short Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
title_full Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
title_fullStr Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
title_full_unstemmed Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
title_sort energy management strategy (ems) for hybrid electric vehicles base on safe experimentation dynamics (sed)
publisher Universiti Malaysia Pahang
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26053/
http://umpir.ump.edu.my/id/eprint/26053/
http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf
http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf
first_indexed 2023-09-18T22:40:20Z
last_indexed 2023-09-18T22:40:20Z
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