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Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller

Author

Listed:
  • Omer Faruk Goksu

    (Department of Electrical and Electronics Engineering, Fatih Sultan Mehmet Vakif University, Istanbul 34445, Turkey)

  • Ahmet Yigit Arabul

    (Department of Electrical Engineering, Yildiz Technical University, Istanbul 34220, Turkey)

  • Revna Acar Vural

    (Department of Electronics and Communications Engineering, Yildiz Technical University, Istanbul 34220, Turkey)

Abstract

Lithium ion (Li-Ion) and lithium polymer (Li-Po) batteries need to be used within certain voltage/current limits. Failure to observe these limits may result in damage to the battery. In this work, we propose a low voltage battery management system (LV-BMS) that balances the processes of the battery cells in the battery pack and the activating-deactivating of cells by guaranteeing that the operation is within these limits. The system operates autonomously and provides energy from the internal battery. It has a modular structure and the software is designed to control the charging and discharging of eight battery cells at most. A STM32F103 microcontroller is used for system control. The fuzzy logic controller (FLC) is used to set the discharge voltage limit to prevent damage to the battery cells, shorten the settlement time and create a specialized design for charge control. The proposed structure enables solar panel or power supplies with different voltage values between 5 V and 8 V to be used for charging. The experimental results show there was a 42% increase in usage time and the voltage difference between the batteries was limited to a maximum of 65 mV. Moreover, the charge current settles at about 20 ms, which is a much faster response when compared to a PID controller.

Suggested Citation

  • Omer Faruk Goksu & Ahmet Yigit Arabul & Revna Acar Vural, 2020. "Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller," Energies, MDPI, vol. 13(9), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2221-:d:353548
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    References listed on IDEAS

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    1. Naowarat Tephiruk & Weerawoot Kanokbannakorn & Thongchart Kerdphol & Yasunori Mitani & Komsan Hongesombut, 2018. "Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    2. Shuo Zhang & Chengning Zhang & Rui Xiong & Wei Zhou, 2014. "Study on the Optimal Charging Strategy for Lithium-Ion Batteries Used in Electric Vehicles," Energies, MDPI, vol. 7(10), pages 1-15, October.
    3. J. M. Amanor-Boadu & A. Guiseppi-Elie & E. Sánchez-Sinencio, 2018. "The Impact of Pulse Charging Parameters on the Life Cycle of Lithium-Ion Polymer Batteries," Energies, MDPI, vol. 11(8), pages 1-15, August.
    4. Edison Banguero & Antonio Correcher & Ángel Pérez-Navarro & Francisco Morant & Andrés Aristizabal, 2018. "A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems," Energies, MDPI, vol. 11(4), pages 1-15, April.
    5. Muhammad Umair Ali & Sarvar Hussain Nengroo & Muhamad Adil Khan & Kamran Zeb & Muhammad Ahmad Kamran & Hee-Je Kim, 2018. "A Real-Time Simulink Interfaced Fast-Charging Methodology of Lithium-Ion Batteries under Temperature Feedback with Fuzzy Logic Control," Energies, MDPI, vol. 11(5), pages 1-15, May.
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    Cited by:

    1. Alimuddin Alimuddin & Ria Arafiyah & Irma Saraswati & Rocky Alfanz & Partogi Hasudungan & Taufik Taufik, 2021. "Development and Performance Study of Temperature and Humidity Regulator in Baby Incubator Using Fuzzy-PID Hybrid Controller," Energies, MDPI, vol. 14(20), pages 1-21, October.

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