Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV

This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added...

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Main Authors:	Muhammad Fadhlan, Afif Bin Nazri, Muhammad Ikram, Mohd Rashid, Mohd Rashid
Format:	Book Section
Language:	English English English
Published:	Springer Singapore 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf

id	ump-22666
recordtype	eprints
spelling	ump-226662019-05-30T01:07:44Z http://umpir.ump.edu.my/id/eprint/22666/ Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based 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 is 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 SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization. Springer Singapore 2018 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf pdf en http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf Muhammad Fadhlan, Afif Bin Nazri and Muhammad Ikram, Mohd Rashid and Mohd Rashid (2018) Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 361-368. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_31 DOI:https://doi.org/10.1007/978-981-13-3708-6_31
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
description	This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based 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 is 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 SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization.
format	Book Section
author	Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid
author_facet	Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid
author_sort	Muhammad Fadhlan, Afif Bin Nazri
title	Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
title_short	Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
title_full	Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
title_fullStr	Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
title_full_unstemmed	Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
title_sort	simultaneous perturbation stochastic approximation optimization for energy management strategy of hev
publisher	Springer Singapore
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/ http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf
first_indexed	2023-09-18T22:33:53Z
last_indexed	2023-09-18T22:33:53Z
_version_	1777416466603180032

Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV

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