scholarly journals Battery Charging from Solar using Buck Converter with MPPT

Author(s):  
K. Sravani Jyothi

In this paper we are learn about the Battery charged from solar by using Buck Converter with MPPT. A buck converter is used as dc to dc converter for charge control implementation. MPPT is also used to extract the maximum power from these PV modules. Finally LCD’S are also used to observe the voltage and current ratings of battery that is charged from the output of buck converter. Solar energy which is freely available is used in this process to charge the battery. This process is simple and can be performed easily to charge Battery. Battery charging from solar using buck converter with MPPT is eco-friendly process and can be used in area with are not electrified. This process is very beneficial to charge the battery.

Author(s):  
N.H. Abdul Rahman ◽  
A. M. Omar ◽  
E. H. Mat Saat ◽  
N. I. Ilham ◽  
M. Z. Hussin ◽  
...  

<span>This paper presents the design of a Three Stages Maximum Power Point Tracking (MPPT) charge controller for improving the charging/discharging control of the battery. In this research, Buck Converter is used to regulate the voltage from the Photovoltaic (PV) module to the required voltage. This research is limited to Valve Regulated Lead Acid (VRLA) battery for 12V system voltage. The charge control algorithm envisages controlling the charging and discharging action in all the three stages of battery charging, bulk, absorption, and float. The idea is to control the battery charging and discharging status until meeting the battery set-point. The set-point is limited to High Voltage Disconnect (HVD), Low Voltage Disconnect (LVD) and Load Voltage Reconnect (LVR) to protect the battery from over-charging and deep-discharging. The results obtained demonstrate the good performance of the charge controller. With the application of the MPPT algorithm in the bulk stage, the time taken to get the battery to fully charged state becomes faster The regulation power from the converter to the inverter has performed well and the switching relay is managed to be controlled.</span>


2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Her-Terng Yau ◽  
Chih-Jer Lin ◽  
Qin-Cheng Liang

Due to global energy crisis and severe environmental pollution, the photovoltaic (PV) system has become one of the most important renewable energy sources. Many previous studies on solar charger integrated system only focus on load charge control or switching Maximum Power Point Tracking (MPPT) and charge control modes. This study used two-stage system, which allows the overall portable solar energy charging system to implement MPPT and optimal charge control of Li-ion battery simultaneously. First, this study designs a DC/DC boost converter of solar power generation, which uses variable step size incremental conductance method (VSINC) to enable the solar cell to track the maximum power point at any time. The voltage was exported from the DC/DC boost converter to the DC/DC buck converter, so that the voltage dropped to proper voltage for charging the battery. The charging system uses constant current/constant voltage (CC/CV) method to charge the lithium battery. In order to obtain the optimum PI charge controller parameters, this study used intelligent algorithm to determine the optimum parameters. According to the simulation and experimental results, the control parameters resulted from PSO have better performance than genetic algorithms (GAs).


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2722 ◽  
Author(s):  
Sajib Chakraborty ◽  
Mohammed Mahedi Hasan ◽  
Imane Worighi ◽  
Omar Hegazy ◽  
M. Abdur Razzak

A Proportional-Integral-Derivative (PID)-controlled synchronous buck converter (SBC)-based battery charging system was designed to charge a lead-acid cell battery using commercially available Photovoltaic (PV) panel. The proposed system was installed aboard a fishing trawler to power its electrical system replacing the conventional system, which uses a diesel generator and a few kerosene lamps for lighting purposes. A PID algorithm instead of traditional Maximum power point tracker (MPPT) is used in the proposed system since the charging process of the battery requires a maximum current instead of maximum power. The proposed control algorithm is compared with the popular MPPT technique Perturb and Observation (P&O) to validate its dynamic performance at different solar irradiance levels using MATLAB/Simulink®. The simulation and the experimental results have demonstrated that the dynamic response of the proposed algorithm is significantly improved by considering higher charging current, the capability to charge the battery at low irradiance, high stability, and lower cost. Finally, a successful 15-day field trial was conducted at sea using the proposed system, and a maximum charging current output of 6.5 A was achieved by the SBC during noon time; it was sufficient to charge a 12 V, 100 Ah battery, with a state of charge (SoC) of 33%, at a voltage charging rate of +0.3 V/h.


Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.


2021 ◽  
Vol 22 (1) ◽  
pp. 101-111
Author(s):  
Kamal Singh ◽  
Anjanee Kumar Mishra ◽  
Bhim Singh ◽  
Kuldeep Sahay

Abstract This work is targeted to design an economical and self-reliant solar-powered battery charging scheme for light electric vehicles (LEV’s). The single-ended primary inductance converter (SEPIC) is utilized to enhance the performance of solar power and battery charging at various solar irradiances. Various unique attributes of a SEPIC converter offer the effective charging arrangement for a self-reliant off-board charging system. Further, the continuous conduction mode (CCM) function of the converter minimizes the elementary stress and keeps to maintain the minimum ripples in solar output parameters. A novel maximum power point tracking (MPPT) approach executed in the designed system requires only the battery current to track the maximum power point (MPP) at various weather situations. Both the simulated and real-time behaviors of the developed scheme are examined utilizing a battery pack of 24 V and 100 Ah ratings. These responses verify the appropriateness of the designed system for an efficient off-board charging system for LEV’s.


2015 ◽  
Vol 787 ◽  
pp. 227-232 ◽  
Author(s):  
L.A. Arun Shravan ◽  
D. Ebenezer

In recent years there has been a growing attention towards use of solar energy. Advantages of photovoltaic (PV) systems employed for harnessing solar energy are reduction of greenhouse gas emission, low maintenance costs, fewer limitations with regard to site of installation and absence of mechanical noise arising from moving parts. However, PV systems suffer from relatively low conversion efficiency. Therefore, maximum power point tracking (MPPT) for the solar array is essential in a PV system. The nonlinear behaviour of PV systems as well as variations of the maximum power point with solar irradiance level and temperature complicates the tracking of the maximum power point. This paper reviews various MPPT methods based on three categories: offline, online and hybrid methods. Design of a PV system in a encoding environment has also been reviewed here. Furthermore, different MPPT methods are discussed in terms of the dynamic response of the PV system to variations in temperature and irradiance, attainable efficiency, and implementation considerations.


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