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Energies 2018, 11(5), 1122; https://doi.org/10.3390/en11051122

A Real-Time Simulink Interfaced Fast-Charging Methodology of Lithium-Ion Batteries under Temperature Feedback with Fuzzy Logic Control

1
School of Electrical Engineering, Pusan National University, Busandaehak-ro 63 Beon-gil 2, Busan 46241, Korea
2
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
3
Department of Cogno-Mechatronics Engineering, Pusan National University, Busandaehak-ro 63 Beon-gil 2, Busan 46241, Korea
*
Author to whom correspondence should be addressed.
Received: 2 April 2018 / Revised: 28 April 2018 / Accepted: 1 May 2018 / Published: 2 May 2018
(This article belongs to the Section Energy Storage and Application)
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Abstract

The lithium-ion battery has high energy and power density, long life cycle, low toxicity, low discharge rate, more reliability, and better efficiency compared to other batteries. On the other hand, the issue of a reduction in charging time of the lithium-ion battery is still a bottleneck for the commercialization of electric vehicles (EVs). Therefore, an approach to charge lithium-ion batteries at a faster rate is needed. This paper proposes an efficient, real-time, fast-charging methodology of lithium-ion batteries. Fuzzy logic was adopted to drive the charging current trajectory. A temperature control unit was also implemented to evade the effects of fast charging on the aging mechanism. The proposed method of charging also protects the battery from overvoltage and overheating. Extensive testing and comprehensive analysis were conducted to examine the proposed charging technique. The results show that the proposed charging strategy favors a full battery recharging in 9.76% less time than the conventional constant-current–constant-voltage (CC/CV) method. The strategy charges the battery at a 99.26% state of charge (SOC) without significant degradation. The entire scheme was implemented in real time, using Arduino interfaced with MATLABTM Simulink. This decrease in charging time assists in the fast charging of cell phones and notebooks and in the large-scale deployment of EVs. View Full-Text
Keywords: fast charging; multistage current charging; lithium-ion battery; fuzzy logic controller; life cycle fast charging; multistage current charging; lithium-ion battery; fuzzy logic controller; life cycle
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Umair Ali, M.; Hussain Nengroo, S.; Adil Khan, M.; Zeb, K.; Ahmad Kamran, M.; Kim, H.-J. A Real-Time Simulink Interfaced Fast-Charging Methodology of Lithium-Ion Batteries under Temperature Feedback with Fuzzy Logic Control. Energies 2018, 11, 1122.

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