i-manager Publications

Optimizing Battery Charging Efficiency and Longevity through Smart Charging Techniques in Microcontroller-Based Systems

D. Suja Darling*

Department of Electronics and Communication Engineering, C.S.I. Institute of Technology, Thovalai, Tamil Nadu, India.

Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jele.13.1.19347

Abstract

This paper explores the topic of optimizing battery charging efficiency and longevity through smart charging techniques in microcontroller-based systems. With the increasing demand for portable and wireless devices, efficient battery charging and longer battery life have become essential. The use of microcontroller-based systems allows for more precise and effective control of battery charging, resulting in improved efficiency and longevity. The current research is on intelligent battery charging systems and battery management systems and discusses various smart charging techniques that can be employed in microcontroller-based systems, including fuzzy logic control, model predictive control, and hybrid algorithms. The paper also highlights the importance of battery management and the need for a comprehensive battery management system to optimize charging efficiency and battery longevity. Finally, the paper presents several case studies and experimental results to demonstrate the effectiveness of these smart charging techniques in improving battery charging efficiency and longevity in microcontroller-based systems.

Keywords

Battery Charging, Efficiency, Longevity, Smart Charging Techniques, Microcontroller-Based Systems, Fuzzy Logic Control, Model Predictive Control, Hybrid Algorithms, Battery Management System.

How to Cite this Article?

Darling, D. S. (2022). Optimizing Battery Charging Efficiency and Longevity through Smart Charging Techniques in Microcontroller-Based Systems. i-manager's Journal on Electronics Engineering, 13(1), 13-25. https://doi.org/10.26634/jele.13.1.19347

References

[1]. Abdollahi, A., Han, X., Avvari, G. V., Raghunathan, N., Balasingam, B., Pattipati, K. R., & Bar-Shalom, Y. (2016). Optimal battery charging, Part I: Minimizing time-tocharge, energy loss, and temperature rise for OCVresistance battery model. Journal of Power Sources, 303, 388-398.

[2]. Awasthi, A., Venkitusamy, K., Padmanaban, S., Selvamuthukumaran, R., Blaabjerg, F., & Singh, A. K. (2017). Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm. Energy, 133, 70-78.

[3]. Ayoub, E., & Karami, N. (2015, April). Review on the charging techniques of a Li-Ion battery. In 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) (pp. 50-55). IEEE.

[4]. Bernard, P., & Lippert, M. (2015). Nickel–cadmium and nickel–metal hydride battery energy storage. In Electrochemical Energy Storage for Renewable Sources And Grid Balancing (pp.223-251). Elsevier.

[5]. Chen, C., Man, K. L., Ting, T. O., Lei, C. U., Krilavičius, T., Jeong, T., ... & Wong, P. W. H. (2012). Design and realization of a smart battery management system. Lecture Notes in Engineering and Computer Science, 2, 1173-1176.

[6]. Chen, J., Xu, C., Wu, C., & Xu, W. (2016). Adaptive fuzzy logic control of fuel-cell-battery hybrid systems for electric vehicles. IEEE Transactions on Industrial Informatics, 14(1), 292-300.

[7]. Friansa, K., Haq, I. N., Santi, B. M., Kurniadi, D., Leksono, E., & Yuliarto, B. (2017). Development of battery monitoring system in smart microgrid based on internet of things (IoT). Procedia Engineering, 170, 482-487.

[8]. Garcia-Trivino, P., Torreglosa, J. P., Fernandez- Ramirez, L. M., & Jurado, F. (2018). Decentralized fuzzy logic control of microgrid for electric vehicle charging station. IEEE Journal of Emerging and Selected Topics in Power Electronics, 6(2), 726-737.

[9]. Hua, A. C. C., & Syue, B. Z. W. (2010, June). Charge and discharge characteristics of lead-acid battery and LiFePO4 battery. The 2010 International Power Electronics Conference-ECCE ASIA- (pp. 1478-1483). IEEE.

[10]. Lai, J. G., & Lu, X. Q. (2012). Smart battery charging system based on ATMEGA128 microcontroller. International Journal of Information and Computer Science, 3, 90-93.

[11]. Lazaroiu, G. C., & Roscia, M. (2022). Fuzzy logic strategy for priority control of electric vehicle charging. IEEE Transactions on Intelligent Transportation Systems, 23(10), 19236-19245.

[12]. Lee, J. H., Moon, J. S., Lee, Y. S., Kim, Y. R., & Won, C. Y. (2011, November). Fast charging technique for EV battery charger using three-phase AC-DC boost converter. In IECON 2011-37th Annual Conference of the IEEE Industrial Electronics Society (pp. 4577-4582). IEEE.

[13]. Paridari, K., Parisio, A., Sandberg, H., & Johansson, K. H. (2014, August). Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries. In 2014 IEEE International Conference on Automation Science and Engineering (CASE) (pp. 632-639). IEEE.

[14]. Rahimi-Eichi, H., Ojha, U., Baronti, F., & Chow, M. Y. (2013). Battery management system: An overview of its application in the smart grid and electric vehicles. IEEE Industrial Electronics Magazine, 7(2), 4-16.

[15]. Reindl, A., Schneider, V., Meier, H., & Niemetz, M. (2020). Software update of a decentralized, intelligent battery management system based on multimicrocomputers. In Tagungsband 2. Symposium Elektronik und Systemintegration ESI 2020:" Intelligente Systeme und ihre Komponenten: Forschung und industrielle Anwendung" (pp. 8-19).

[16]. Rezvanizaniani, S. M., Liu, Z., Chen, Y., & Lee, J. (2014). Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. Journal of power sources, 256, 110-124.

[17]. Rutto, D. M. (2015). Battery charger efficiency and voltage behaviour in vented lead acid batteries in Kenya. International Journal of Sciences: Basic and Applied Research (IJSBAR), 20(1), 184-191.

[18]. Savari, G. F., Krishnasamy, V., Sathik, J., Ali, Z. M., & Aleem, S. H. A. (2020). Internet of Things based real-time electric vehicle load forecasting and charging station recommendation. ISA Transactions, 97, 431-447.

[19]. Singh, A. K., & Pathak, M. K. (2016, July). An improved two-stage non-isolated converter for on-board plug-in hybrid EV battery charger. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1-6). IEEE.

[20]. Tsai, C. C. (2013, July). A reduced Li-Ion battery charger for portable applications. In 2013 Ninth International Conference on Natural Computation (ICNC) (pp. 1718-1722). IEEE.

[21]. Wang, Y., Zhou, C., & Chen, Z. (2022). Optimization of battery charging strategy based on nonlinear model predictive control. Energy, 241, 122877.

[22]. Yong, J. Y., Ramachandaramurthy, V. K., Tan, K. M., & Mithulananthan, N. (2015). A review on the state-of-theart technologies of electric vehicle, its impacts and prospects. Renewable and Sustainable Energy Reviews, 49, 365-385.

[23]. Zhang, Y., Liu, X., Wei, W., Peng, T., Hong, G., & Meng, C. (2020). Mobile charging: A novel charging system for electric vehicles in urban areas. Applied Energy, 278, 115648.

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Optimizing Battery Charging Efficiency and Longevity through Smart Charging Techniques in Microcontroller-Based Systems

Abstract

Keywords

How to Cite this Article?

References

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