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Random Search in Energy Management Strategy (EMS) for Hybrid Electric Vehicles

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Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 538))

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Abstract

The aim of this project is to optimize the total energy used (summation fuel and electricity) from vehicle utilization with the initial result in hybrid electric car (HEV) by using an optimization called Random Search Optimization. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the electricity consumption while increasing the HEV performance. This is for maintain or increase the HEV performance which is increase the efficiency. Thus, Random Search Optimization was applied to optimize the HEV source output which is from electricity system. This method also had already been applied to solve several other problems. But for HEV optimization more research is needed so that it can be applied for real HEV development in industry not for simulation purpose only.

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References

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Author information

Authors and Affiliations

  1. Faculty of Electrical and Electronic Engineering, University Malaysia Pahang, Pekan, Malaysia

    Muhammad Syahmi Ghazali & Muhammad Ikram Mohd Rashid

Authors
  1. Muhammad Syahmi Ghazali
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  2. Muhammad Ikram Mohd Rashid
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Corresponding author

Correspondence to Muhammad Syahmi Ghazali .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Zainah Md Zain

  2. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Hamzah Ahmad

  3. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Dwi Pebrianti

  4. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Mahfuzah Mustafa

  5. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Nor Rul Hasma Abdullah

  6. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Rosdiyana Samad

  7. Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Maziyah Mat Noh

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Ghazali, M.S., Mohd Rashid, M.I. (2019). Random Search in Energy Management Strategy (EMS) for Hybrid Electric Vehicles. In: Md Zain, Z., et al. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 . Lecture Notes in Electrical Engineering, vol 538. Springer, Singapore. https://doi.org/10.1007/978-981-13-3708-6_19

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  • DOI: https://doi.org/10.1007/978-981-13-3708-6_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3707-9

  • Online ISBN: 978-981-13-3708-6

  • eBook Packages: EngineeringEngineering (R0)

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