A Design of an Optimal Battery Pulse Charge System by Frequency-Varied Technique

Chen, Liang-Rui

doi:10.1109/tie.2006.888796

Cited by 190 publications

(74 citation statements)

References 20 publications

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“…To achieve a high charging speed for multiple battery cells, pulse-based battery charging approaches, such as variable frequency pulse charge system (VFPCS) and duty-varied voltage pulse-charge strategy (DVVPCS), have been introduced in previous literature, such as [8,9]. Figure 5a shows the biased charge period when the charge pulse is high and the following relaxation period when the charge pulse is off.…”

Section: Pulse-based Charging Algorithmmentioning

confidence: 99%

Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve

2016

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Abstract:The pulse-based charging method for battery cells has been recognized as a fast and efficient way to overcome the shortcoming of a slow charging time in distributed battery cells, which is regarded as a connection of cells such as the Internet of Things (IoT). The pulse frequency for controlling the battery charge duration is dynamically controlled within a certain range in order to inject the maximum charge current into the battery cells. The optimal frequency is determined in order to minimize battery impedance. The adaptation of the proposed pulse duty and frequency decreases the concentration of the polarization by sensing the runtime characteristics of battery cells so that it guarantees a certain level of safety in charging the distributed battery cells within the operating temperature range of 5-45 • C. The sensed terminal voltage and temperature of battery cells are dynamically monitored while the battery is charging so as to adjust the frequency and duty of the proposed charging pulse method, thereby preventing battery degradation. The evaluation results show that a newly designed charging algorithm for the implemented charger system is about 18.6% faster than the conventional constant-current (CC) charging method with the temperature rise within a reasonable range. The implemented charger system, which is based on the proposed dynamic frequency and duty control by considering the cell polarization, charges to about 80% of its maximum capacity in less than 56 min and involves a 13 • C maximum temperature rise without damaging the battery.

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Section: Pulse-based Charging Algorithmmentioning

confidence: 99%

Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve

2016

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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%

“…Tsang and Chan presented the concept of the PC algorithm. In the PC algorithm, the main part is to control the frequency of the pulse to check the response of the current [21]. The optimal frequency can be achieved at low battery impedance, resulting in the maximum charging current.…”

Section: Introductionmentioning

confidence: 99%

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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“…The trade-off between the charging speed and the reliability of the internal electrochemical reaction process has to be considered, which is a barrier to increasing the charging speed. There are lots of studies on how to increase the speed of battery charging, such as variants of CC-CV charging method, polarization curve-based charging method, and pulse-based charging method of VFPCS [2] and DVVPCS [3]. The traditional constant current, constant voltage (CC-CV) charging method has a limitation in terms of providing fast charging mode [4].…”

Section: Introductionmentioning

confidence: 99%

Fast battery charger MCU with adaptive PWM controller using runtime tracking of polarization curve

Park

Yin

Kwak

et al. 2016

IEICE Electron. Express

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In this paper, a fast li-ion battery charger microcontroller (MCU) based on configurable pulse width modulation (PWM) controller by tracking the polarization curve of battery cells is proposed in order to inject the maximum charge-current without battery degradation and its fully customdesigned MCU is implemented as a system-on-chip (SoC) using 0.18 um Embedded Flash CMOS process. The evaluation results show that a newly designed charger is about 18.6% faster than the conventional constantcurrent (CC) charging method with the temperature rise within a reasonable range. The implemented charger system by tracking the battery cell polarization curve results in charging 4 cells of battery to about 80% of its maximum capacity in less than 56 minutes and 13°C maximum temperature rise without damaging the battery.

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A Design of an Optimal Battery Pulse Charge System by Frequency-Varied Technique

Cited by 190 publications

References 20 publications

Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve

Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve

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

Fast battery charger MCU with adaptive PWM controller using runtime tracking of polarization curve

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