Relevant bibliographies by topics / BATTERY CHARGING APPLICATIONS

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Academic literature on the topic 'BATTERY CHARGING APPLICATIONS'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "BATTERY CHARGING APPLICATIONS"

1

Kiswantono, Agus. "Design of Atmega2560 Charge Controller Battery Using Static Bicycle." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 7, no. 1 (2023): 79–93. http://dx.doi.org/10.21070/jeeeu.v7i1.1666.

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At this time charging system has been increasingly advanced. advance with technological developments. One of them is the use of microcontrollers whose. applications are growing rapidly their application in charging. Battery Charge Controller is a charging device, to adjust the input voltage and output voltage of the battery so as not to overcharge and overdischarge. In this study, a battery charging control system with inputs produced by a pedal power plant was designed to drain the power from the power cycling generator to the Arduino Uno Microcontroller atmega 2560. The test that have been done on the Battery Charge Controller obtained a voltage of 14 volts, which causes the power supply to the load to be stable.
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2

Křivík, Petr, Petr Baca, and Jiri Kazelle. "Measurement of Impedance of AGM Solar Battery for RAPS Applications." ECS Transactions 105, no. 1 (2021): 151–58. http://dx.doi.org/10.1149/10501.0151ecst.

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The paper deals with the measurement of the cell impedance parameters during discharging and charging of the AGM 200Ah 6V Sun Power lead acid battery. Real and imaginary part of impedance of the battery were measured by PEIS method. Results of the impedance changes during discharging and charging were plot to Nyquist diagrams. Important values - ohmic resistance RS, charge transfer resistance RCT, double layer capacity CDL and Warburg coefficient σ were found during discharging and charging of the solar battery.
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3

D’Souza, Joseph Brian, and Bharathi A. Rao. "MPPT in Battery Charging for PV Applications." IJIREEICE 4, no. 2 (2016): 265–68. http://dx.doi.org/10.17148/ijireeice/ncaee.2016.53.

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4

Kwak, Bongwoo, Myungbok Kim, and Jonghoon Kim. "Add-On Type Pulse Charger for Quick Charging Li-Ion Batteries." Electronics 9, no. 2 (2020): 227. http://dx.doi.org/10.3390/electronics9020227.

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In this paper, an add-on type pulse charger is proposed to shorten the charging time of a lithium ion battery. To evaluate the performance of the proposed pulse charge method, an add-on type pulse charger prototype is designed and implemented. Pulse charging is applied to 18650 cylindrical lithium ion battery packs with 10 series and 2 parallel structures. The proposed pulse charger is controlled by pulse duty, frequency and magnitude. Various experimental conditions are applied to optimize the charging parameters of the pulse charging technique. Battery charging data are analyzed according to the current magnitude and duty at 500 Hz and 1000 Hz and 2000 Hz frequency conditions. The proposed system is similar to the charging speed of the constant current method under new battery conditions. However, it was confirmed that as the battery performance is degraded, the charging speed due to pulse charging increases. Thus, in applications where battery charging/discharging occurs frequently, the proposed pulse charger has the advantage of fast charging in the long run over conventional constant current (CC) chargers.
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5

Mohajer, Sara, Jocelyn Sabatier, Patrick Lanusse, and Olivier Cois. "Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging." Applied Sciences 10, no. 11 (2020): 4038. http://dx.doi.org/10.3390/app10114038.

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This paper deals with optimal charging versus aging minimization for lithium-ion batteries. The optimal charging strategy proposed involves charging controllers whose design relies on a battery model. The model, especially designed for automotive battery management systems applications, is recalled in this paper. It provides the voltage response of a cell to an input current. It also models side reactions that produce degradation mechanisms and thus decrease battery performance. Side reaction modelling involves taking into account the temperature cell variations, which are thus also modelled. The association of the three above-mentioned sub-models leads to an electro-thermal battery aging model used to design an optimal charging strategy that simultaneously takes into account the minimization of charging time and maximization of battery lifetime. Thus, to achieve a charging controller that manages battery health, an appropriate charging trajectory was computed by solving an optimization problem minimizing aging. Then, a charge control loop was designed. The nonlinear behavior of the battery was taken into account through the linearization of the electro-thermal aging model in different operating conditions. To take into account the resulting linear model family, the CRONE design methodology was used. The principles of this methodology are recapped and the design of the charging control loop is explained. The efficiency of the resulting charge controller is illustrated by several simulations.
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6

Ahmad, Afaq, Muhammad Khalid, Zahid Ullah, et al. "Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging." Energies 15, no. 24 (2022): 9471. http://dx.doi.org/10.3390/en15249471.

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The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs into competition with internal combustion engine vehicles (ICEVs). The major challenge in EVs is quick recharging and the selection of an optimal charging station. In this paper, we present the most recent research on EV charging management systems and their role in smart cities. EV charging can be done either in parking mode or on-the-move mode. This review work is novel due to many factors, such as that it focuses on discussing centralized and distributed charging management techniques supported by a communication framework for the selection of an appropriate charging station (CS). Similarly, the selection of CS is evaluated on the basis of battery charging as well as battery swapping services. This review also covered plug-in charging technologies including residential, public and ultra-fast charging technologies and also discusses the major components and architecture of EVs involved in charging. In a comprehensive and detailed manner, the applications and challenges in different charging modes, CS selection, and future work have been discussed. This is the first attempt of its kind, we did not find a survey on the charging hierarchy of EVs, their architecture, or their applications in smart cities.
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7

López, José Pablo Rodriguez, Miguel Ángel Zapata Sánchez, Cristian Geovani Coutiño Utrilla, Arturo Paniagua Balcázar, Adolfo López Sánchez, and Jorge Alberto Briceño Mena. "A 3-states mode lead-acid battery charger simulation for medical applications." South Florida Journal of Development 3, no. 5 (2022): 6128–37. http://dx.doi.org/10.46932/sfjdv3n5-033.

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The design and simulation of a battery charger is presented, for medical applications using three-state mode charge, containing a Buck converter and a lead-acid battery. Implementing Proportional Integral (PI) controllers, to modify the duty cycle of the Buck converter, in such a way that the battery is subjected to the 3 states during the charging process, the PI controller reference changes for each of the 3 states. In this way the battery is subjected to the 3 states with a single PI controller. In order to predict the current and voltage values ​​to which it would be subjected in the real system in a charging process with this algorithm, it was possible to obtain the battery charge graphs, which describe all the voltage and current values. that the actual battery will undergo in a 3-state charge. Concluding that the charging current is maintained at adequate values, however there is a possibility that in state 2, the voltage exceeds the tolerated overvoltage value, so it is recommended to reduce the voltage reference in state 2.
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8

Muthusamy, K., P. Rajesh, and B. Gokulavasan. "An Enhanced Method of Contactless Charging of Railway Signaling Torch Light." International Journal of Communications 15 (September 23, 2021): 21–25. http://dx.doi.org/10.46300/9107.2021.15.5.

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Wireless charging, also known as contactless charging (for shorter range), is a method of supplying energy to electrical devices by sending electricity via an air gap. Wireless charging methods have advanced recently, and commercial solutions have been developed, providing a potential option to overcome the energy bottleneck of typically portable battery-powered gadgets. Due to its simplicity and improved user experience, this technology is attracting a wide range of applications, from low-power gadgets to high-power electric cars. However, including wireless charging into the systems raises a number of difficult challenges in terms of implementation, scheduling, and power management. One such application is to convert the existing system of traditional battery powered railway signaling torchlight into a rechargeable type contactless charging system. This provides a better way of increasing the life time of the product and has better compactness. A rechargeable Li-ion battery must be installed in lieu of the old non-rechargeable battery. To achieve satisfactory efficiency, the magnetic resonance coupling technology of contactless charging can be utilized. Through a shorter air gap, electrical power is transmitted from the charging module (main coil) to the Torchlight (secondary coil). Overall, the present system's cost, size are reduced and lifetime is increased.
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9

Tan, Rodney H. G., Chee Kang Er, and Sunil G. Solanki. "Modeling of Photovoltaic MPPT Lead Acid Battery Charge Controller for Standalone System Applications." E3S Web of Conferences 182 (2020): 03005. http://dx.doi.org/10.1051/e3sconf/202018203005.

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This paper presents the circuitry modeling of the solar photovoltaic MPPT lead-acid battery charge controller for the standalone system in MATLAB/Simulink environment. A buck topology is utilized as a DC-DC converter for the charge controller implementation. The maximum power of the photovoltaic panel is tracked by the Perturb and Observe MPPT algorithm. The battery charge controller charges the lead-acid battery using a three-stage charging strategy. The three charging stages include the MPPT bulk charge, constant voltage absorption charge, and float charge stage. The performance analysis of the model is carried out in the following aspects, there are MPPT tracking performance, battery charging performance and overall charge controller efficiency performance are benchmarked with commercial MPPT charge controller for validation. The performance result shows that the MPPT is capable to track to the PV panel maximum point at any solar irradiance variation within 0.5 seconds with maximum power tracking efficiency up to 99.9 %. The three-stage charging strategy also successfully demonstrated. The overall charge controller average efficiency achieved up to 98.3 % which matches many high end commercial solar PV MPPT charge controller product specifications. This validated model contributes to a better sizing of PV panel and battery energy storage for the small and medium standalone PV system.
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10

Jouybari-Moghaddam, Hessamoddin. "Influence of electric vehicle charging rates on transformer derating in harmonic-rich battery charger applications." Archives of Electrical Engineering 61, no. 4 (2012): 483–97. http://dx.doi.org/10.2478/v10171-012-0037-8.

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Abstract A study on plug-in electric vehicle (PEV) charging load and its impacts on distribution transformers loss-of-life, is presented in this paper. The assessment is based on residential PEV battery charging. As the exact forecasting of the charging load is not possible, the method for predicting the electric vehicle (EV) charging load is stochastically formulated. With the help of the stochastic model, the effect of fixed, time of use, and real-time charging rates on the charging load and the resultant impact on transformer derating is investigated. A 38-bus test system is adopted as the test system including industrial harmonic sources. Test results demonstrate that uncontrolled EV charging might causes a noticeable change in the K-factor of the transformer, emerging the need for derating, while applying real-time rates for battery charging loads conquers this problem even in case of harmonic-rich chargers.
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