Efficient charging of battery and production of power from solar energy

Suresh, Harishankar; Anand, B.; Sudharsan, K. P.; Vignesh, U.; Viveknath, T.; Sivraj, P.; Vijith, K.

doi:10.1109/embeddedsys.2014.6953164

Cited by 29 publications

(3 citation statements)

References 2 publications

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“…to a more clouded sky), the charging voltage remains constant for periods of several minutes or even hours (see, e.g. [13,14]). Therefore, although the assumption of Poisson energy arrivals simplifies the analysis, it implies significant randomness in the charging rate which does not reflect reality.…”

Section: Related Workmentioning

confidence: 99%

A fluid reservoir model for the Age of Information through energy-harvesting transmitters

Koukoutsidis¹

2021

Preprint

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We apply a fluid-reservoir model to study the Age-of-Information (AoI) of update packets through energy-harvesting transmitters. The model is closer to how energy is stored and depleted in reality, and can reveal the system behavior for different settings of packet arrival rates, service rates, and energy charging and depletion rates. We present detailed results for both finite and infinite transmitter buffers and an infinite energy reservoir, and some indicative results for a finite reservoir. The results are derived for the mean AoI in the case of an infinite transmitter buffer and an infinite reservoir, and for the mean peak AoI for the remaining cases. The results show that, similar to a system without energy constraints, the transmitter buffer should be kept to a minimum in order to avoid queueing delays and maintain freshness of updates. Furthermore, a high update packet rate is only helpful in energy-rich regimes, whereas in energy-poor regimes more frequent updates deplete the energy reservoir and result in higher AoI values.

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Section: Related Workmentioning

confidence: 99%

A fluid reservoir model for the Age of Information through energy-harvesting transmitters

Koukoutsidis¹

2021

Preprint

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“…Because renewable energy sources have lower voltage and power ratings, different DC-DC converters are crucial in this situation. Compared to other renewable energy resources, solar-based power generation is readily accessible [2]. It is frequently used for solar pumping, lighting, and battery charging, among other things.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Operation of Various DC-DC Converter Topologies with Effective MPPT in a Photovoltaic System

Vishal G. Jotangiya

2024

jes

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This article describes the reliable and efficient DC-DC converter for Renewable Energy Sources. The system will function more accurately when the solar panel's irradiance is low. The Maximum Power Point Tracking (MPPT) control algorithm is used to operate the similar system in order to achieve greater efficiency. The characteristics curves for solar panel current v/s voltage (I–V) and power v/s voltage (P–V) are produced by MATLAB simulation. The curves derived from the experiment results are also compared to the simulation curves. A thorough analysis of solar-fed DC–DC converters (Boost, Push-Pull, and Coupled Inductor based converter) is also carried out. The proposed converters are simulated in MATLAB. Simulation results are presented and discussed. Results demonstrate the validity of the models.

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“…But it can also double as a boost converter or as well as a buck converter. Hari Shankar Suresh and colleagues [10]…”

Section: Introductionmentioning

confidence: 99%

Enhancing Battery Recharge Performance through an Intelligent MPPT for Photovoltaic Solar Panels

Atiyah¹,

Faisal²,

Alzaidi³

2022

Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9

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Fuzzy Logic MPPT (Maximum Power Point Tracking) is one of the most powerful boosting techniques for photovoltaic panels. One of the main challenges of a Photovoltaic Device enhanced with a fuzzy circuit control is the fact that it requires the photovoltaic panels to work at their maximum power point while having a high performance. In this study, an intelligent MPPT system is proposed that aims to enhance the performance of the recharge factor as well as decrease the resource spent to complete the task. To accomplish this, a fuzzy logic technique is proposed that uses a three-step charging factor. MATLAB SIMULINK is used to simulate and validate the results in a numerical experiment. Ultimately the results indicate that a three-step charge enhances the recharge factor and decreases the cost whilst improving the performance.

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Efficient charging of battery and production of power from solar energy

Cited by 29 publications

References 2 publications

A fluid reservoir model for the Age of Information through energy-harvesting transmitters

A fluid reservoir model for the Age of Information through energy-harvesting transmitters

Evaluation and Operation of Various DC-DC Converter Topologies with Effective MPPT in a Photovoltaic System

Enhancing Battery Recharge Performance through an Intelligent MPPT for Photovoltaic Solar Panels

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