Fuzzy-control-based five-step Li-ion battery charger

Huang, Jiao; Liu, Yihua; Wang, Shun‐Chung; Yang, Zong‐Zhen

doi:10.1109/peds.2009.5385780

Cited by 32 publications

(19 citation statements)

References 7 publications

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“…However, the obtained charging profile is fixed and cannot adapt to the operating condition in real time. In order to achieve higher charging efficiency, a FLC similar to that presented in [21] is integrated into the obtained five-stage CC charging algorithm to fine-tune the charging current. Figure 2 shows the block diagram of the proposed FLC.…”

Section: Flc-based Five-stage Li-ion Battery Chargermentioning

confidence: 99%

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Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method

et al. 2013

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Lithium ion (Li-ion) batteries have been widely used in various kinds of applications, including consumer electronics, green energy systems and electrical vehicles. Since the charging method has a significant influence on the performance and lifetime of Li-ion batteries, an intelligent charging algorithm which can properly determine the charging current is essential. In this study, a fuzzy-logic-control-based (FLC-based) five-stage Li-ion battery charger is proposed. The proposed charger takes the temperature rise and the gradient of temperature rise of battery into account, and adjusts the charging current accordingly. To further improve the performance of the proposed FLC, the fuzzy-based Taguchi method is utilized to determine the optimal output membership functions (MFs). Comparing with the conventional constant current-constant voltage (CC-CV) method, the charging time, charging efficiency, average temperature rise and the obtained cycle life of the Li-ion battery are improved by about 58.3%, 1.65%, 26.7% and 59.3%, respectively.

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Section: Flc-based Five-stage Li-ion Battery Chargermentioning

confidence: 99%

“…In this study, a fuzzy-logic-control-based (FLC-based) five-stage Li-ion battery charger is proposed based on the concept presented in [21]. The proposed charger takes the temperature rise and the gradient of temperature rise of battery into account, and adjusts the charging current accordingly.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method

et al. 2013

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“…For the charging of lithium-ion batteries, different charging techniques, such as constant current and constant voltage (CC/CV), pulse charging (PC) algorithm, model-based charging, and multistage current charging algorithm (MSCC), have been reported [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. The CC/CV techniques is computationally efficient and can be implemented easily.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al [28] implemented the ant colony algorithm to find the optimal current to charge a lithium-ion battery. In addition to these methodologies, a fuzzy logic controller (FLC) could be beneficial [29][30][31][32][33][34]. Huang et al [29] used FLC to find the charging current for different intervals, in which the inputs of the controller were the temperature rise and the deviation of the temperature rise.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to these methodologies, a fuzzy logic controller (FLC) could be beneficial [29][30][31][32][33][34]. Huang et al [29] used FLC to find the charging current for different intervals, in which the inputs of the controller were the temperature rise and the deviation of the temperature rise. The proposed methodology increased the charging efficiency of the battery but required more time to charge it.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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 MATLAB TM Simulink. This decrease in charging time assists in the fast charging of cell phones and notebooks and in the large-scale deployment of EVs.

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Fractional order modeling based optimal multistage constant current charging strategy for lithium iron phosphate batteries

Rao,

Chappa,

Chaitanya

et al. 2024

Energy Storage

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The primary power source for electric vehicles (EVs) is batteries. Due to the superior characteristics like higher energy density, power density, and life cycle of the lithium iron phosphate (LFP) battery is most frequently chosen among the various types of lithium‐ion batteries (LIBs). The main issues that users encounter are the time required to charge an EV battery and the safety of the EV battery during the charging period. The fast‐charging means, charging a battery with high currents which may lead to a rise in the temperature of a battery. The abrupt rise in battery temperature may cause changes in the internal chemical structures of the battery, reducing battery life even further. In this regard, an optimal charging profile design is of utmost importance in order to satisfy dual objectives simultaneously such as less charging time and improvement in life of the battery. To overcome the conflict between charging speed and rise in temperature an optimal multistage constant current (MSCC) based charging strategy has been investigated under different operating conditions. In addition, the proposed charging profiles have been studied using experimentation.

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Fuzzy-control-based five-step Li-ion battery charger

Cited by 32 publications

References 7 publications

Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method

Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method

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

Fractional order modeling based optimal multistage constant current charging strategy for lithium iron phosphate batteries

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