Intelligent and Universal Fast Charger for Ni-Cd and Ni-MH Batteries in Portable Applications

Díaz, J.; Martín-Ramos, J.A.; Pernia, A.M.; Nuño, F.; Linera, F.F.

doi:10.1109/tie.2004.831740

Cited by 45 publications

(11 citation statements)

References 4 publications

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“…One of these techniques is to control the charging process by sensing the tuning points. These tuning points have been selected based on the battery temperature, voltage, and lapsed charging time [40]. The control algorithm changes the charging behavior only at the tuning points, and the period outside the tuning points is unaffected.…”

Section: Resultsmentioning

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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Section: Resultsmentioning

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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“…One kind of intelligent charger controls the charging process by detecting the tuning points. The tuning points are selected as the threshold points, stationary points, and inflection points of battery voltage, temperature, and lapsed time [8][9][10]. These intelligent methods only change the charging behavior at tuning points and the periods between tuning points are still under open-loop control.…”

Section: Literature Reviewmentioning

confidence: 99%

“…( 1) SOC k − is calculated according to Equation (10), and ( 1) T k − is measured directly from a temperature sensor fixed on the surface of the battery. Given the value of ( ) I k , the above preparation allows a one-step prediction of ( ) SOC k and ( ) T k .…”

Section: Model Based Predictionmentioning

confidence: 99%

Model Predictive Control-Based Fast Charging for Vehicular Batteries

Yan

Qian

et al. 2011

Energies

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Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we propose a fast charge framework based on model predictive control, with the aim of simultaneously reducing the charge duration, which represents the out-of-service time of vehicles, and the increase in temperature, which represents safety and energy efficiency during the charge process. The RC model is employed to predict the future State of Charge (SOC). A single mode lumped-parameter thermal model and a neural network trained by real experimental data are also applied to predict the future temperature in simulations and experiments respectively. A genetic algorithm is then applied to find the best charge sequence under a specified fitness function, which consists of two objectives: minimizing the charging duration and minimizing the increase in temperature. Both simulation and experiment demonstrate that the Pareto front of the proposed method dominates that of the most popular constant current constant voltage (CCCV) charge method.

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“…Using electric energy for transportation applications will help reduce not only the green house gases but also the dependency on conventional fossil fuels [1][2][3][4]. Especially, Li-ion batteries have the highest energy densities and longest lifetime [8][9][10][11][12]. One key problem is the operational mileage range in one charge of battery, a major energy-storage component in the EVs.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a high‐efficiency LiFePO₄ battery charger for electric vehicle applications

Chiu

Tseng

et al. 2012

Circuit Theory & Apps

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This letter studies and implements a high-efficiency LiFePO 4 battery charger. The modular design can satisfy the requirements of series/parallel charging for electric vehicle applications. A CC-CC-CV charging scheme is also realized to meet the characteristics of LiFePO 4 battery stacks. A 2 kW laboratory prototype is built and tested. The experimental results are shown to verify the feasibility of the proposed scheme.

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Intelligent and Universal Fast Charger for Ni-Cd and Ni-MH Batteries in Portable Applications

Cited by 45 publications

References 4 publications

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

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

Model Predictive Control-Based Fast Charging for Vehicular Batteries

Design and implementation of a high‐efficiency LiFePO₄ battery charger for electric vehicle applications

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Intelligent and Universal Fast Charger for Ni-Cd and Ni-MH Batteries in Portable Applications

Cited by 45 publications

References 4 publications

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

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

Model Predictive Control-Based Fast Charging for Vehicular Batteries

Design and implementation of a high‐efficiency LiFePO4 battery charger for electric vehicle applications

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Product

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Design and implementation of a high‐efficiency LiFePO₄ battery charger for electric vehicle applications