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State-of-Charge Estimation Using Electrochemical Battery Model for Electric Vehicles

Author

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  • Ahmet Akbulut

    (Ankara University, Ankara, Turkey)

Abstract

The Battery Management System design is one of the most up-to-date topics of electric vehicles and alternative energy systems today. Battery behavior changes over time as the number of charge/discharge cycles increases and aging effects. In order to ensure long battery life and maintain its performance, the Battery Management System must monitor the battery status correctly. To do this, there is a need for a model that accurately expresses the battery dynamics. In this study, three filters were used for estimation of State of Charge using electrochemical model. These filters have been tested using 10 different drive cycle speed profiles. The results were evaluated considering the need for filter performances to be operable on a vehicle.

Suggested Citation

  • Ahmet Akbulut, 2018. "State-of-Charge Estimation Using Electrochemical Battery Model for Electric Vehicles," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 4(1), pages 24-31.
    • Handle: RePEc:apa:ijtess:2018:p:24-31
    DOI: 10.20469/ijtes.4.10004-1
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    References listed on IDEAS

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    1. Farhana Umer & Nurettin Cetinkaya, 2017. "Transient analysis due to short circuit faults in wind hybrid systems," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(3), pages 89-100.
    2. Novan Agung Mahardiono & Imam Djunaedi, 2015. "Piecewise Affine Modelling of Hybrid Control Systems In Solar Cell-BatterY Supercapacitor," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 1(1), pages 35-39.
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