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Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV

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

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Abstract

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.

Item Type: Book Section
Additional Information: Index by Springer
Uncontrolled Keywords: HEV; Simultaneous Perturbation Stochastic Approximation (SPSA); Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 17 Dec 2018 01:44
Last Modified: 30 May 2019 01:07
URI: http://umpir.ump.edu.my/id/eprint/22666
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