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Hybrid Swarm Intelligence-Based Optimization for Charging Plug-in Hybrid Electric Vehicle

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Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9012))

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Abstract

Plug-in hybrid electric vehicle (PHEV) has the potential to facilitate the energy and environmental aspects of personal transportation, but face a hurdle of access to charging system. The charging infrastructure has its own complexities when it is compared with petrol stations because of the involvement of the different charging alternatives. As a result, the topic related to optimization of Plug-in hybrid electric vehicle charging infrastructure has attracted the attention of researchers from different communities in the past few years. Recently introduced smart grid technology has brought new challenges and opportunities for the development of electric vehicle charging facilities. This paper presents Hybrid particle swarm optimization Gravitational Search Algorithm (PSOGSA)-based approach for state-of-charge (SoC) maximization of plug-in hybrid electric vehicles hence optimize the overall smart charging.

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Authors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Tronoh, Malaysia

    Imran Rahman, Pandian Vasant & Balbir Singh Mahinder Singh

  2. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, KSA

    M. Abdullah-Al-Wadud

Authors
  1. Imran Rahman
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  2. Pandian Vasant
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  3. Balbir Singh Mahinder Singh
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  4. M. Abdullah-Al-Wadud
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Corresponding author

Correspondence to Imran Rahman .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

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Rahman, I., Vasant, P., Singh, B.S.M., Abdullah-Al-Wadud, M. (2015). Hybrid Swarm Intelligence-Based Optimization for Charging Plug-in Hybrid Electric Vehicle. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-15705-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15704-7

  • Online ISBN: 978-3-319-15705-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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