A four stage battery charge controller working on a novel maximum power point tracking based algorithm for solar PV system

Jana, Joydip; Samanta, Hiranmay; Bhattacharya, Konika Das; Saha, Hiranmay

doi:10.1109/ictfcen.2016.8052702

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…The analog mode is obtained by comparing a progressive linear voltage with a saw-tooth signal (Boussaada et al, 2018). The digital mode is obtained by a microcontroller (Khatib et al, 2017), DSPIC (Sruthy & Mohan, 2017;Jana et al, 2016), DSPACE (Boutabba et al, 2018), or an Arduino Uno® board.…”

Section: Introductionmentioning

confidence: 99%

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PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

BOUSSAADA¹,

ABDELATI²,

LAHDHIRI³

et al. 2023

SIC

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Photo-Voltaic (PV) panels, whose maximal point is called the Maximum Power Point (MPP), provide extracted electrical power. In order to effectively exploit the PV System (PVS), they must be operated within the limits of this point. Later, it depends on the impedance of the connected load and on the Characteristic Impedance of the PV (CIPV) panel that varies with different climatic conditions. In a well-matched system, the load impedance is close to the CIPV and it operates normally at the MPP (via direct connection). Otherwise, coupling is fairly poor. The load impedance is different from the CIPV and, therefore, it requires the inclusion of MPP Tracking (MPPT) and a DC/DC converter as an adaptive load. In this paper, a new MPPT method based on CIPV matching is proposed. The algorithm structure is simple and easy to implement. This study focuses on how the PVS, tested and evaluated under varying load and climatic conditions, operates with the proposed MPPT controller. The present approach is characterized by a stable oscillation, with a slight fluctuation around the MPP. The controller integrates a variable step-size control and provides a rapid and precise convergence to the MPP. The simulation and experimental results prove the efficiency of the proposed method.

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Section: Introductionmentioning

confidence: 99%

“…As far as known, no work has calculated before such a duty cycle using Stateflow®. Generally, a lot of researchers have worked on a variable step size (Jana et al, 2016) to adjust the duty cycle of the PWM signal. In the present work, Stateflow® is utilized to increment or decrement the duty cycle using a specific step size.…”

Section: Introductionmentioning

confidence: 99%

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

BOUSSAADA¹,

ABDELATI²,

LAHDHIRI³

et al. 2023

SIC

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“…Over the years, various control strategies for solar battery chargers have been proposed, most of them being based on conventional techniques. They generally use a classical MPPT algorithm, a linear closed-loop control, or a combination of both, as shown in [40,[42][43][44][45][46][47][48][49][50]. Conventional MPPT techniques fail under rapid atmospheric changes, which affect its performance.…”

Section: Introductionmentioning

confidence: 99%

Robust Digital Control Strategy Based on Fuzzy Logic for a Solar Charger of VRLA Batteries

Seguel

Seleme

2021

Energies

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This paper presents the design and implementation of a digital control strategy for a Buck converter, used as a solar charger of valve-regulated lead acid (VRLA) batteries. The control system consists of two fuzzy logic controllers (FLCs), which adjust the appropriate increment of the converter duty cycle based on battery state of charge according to a three-stage charging scheme. One FLC works as a maximum power point tracker (FLC-MPPT), while the other regulates the battery voltage (FLC-VR). This approach of using two different set of membership functions overcomes the limitations of the battery chargers with a single control function, where the voltage supplied to the battery is either not constant due to the operation of the MPPT algorithm (possibly damaging the battery) or is constant due to the operation of the voltage control (hence, MPP cannot be achieved). In this way, the proposed control approach has the advantage of extracting the maximum energy of the PV panel, preventing battery damage caused by variable MPPT voltage, thereby extending the battery’s lifetime. Moreover, it allows overcoming of the drawbacks of the conventional solar chargers, which become slow or inaccurate during abrupt changes in weather conditions. The strategy is developed to be implemented in a low-cost AT91SAM3X8E Arduino Due microcontroller. Simulations by MATLAB/Simulink and experimental results from hardware implementation are provided and discussed, which validate the reliability and robustness of the control strategy.

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“…The size of energy storage can be done using two types of batteries, namely Lead-acid Lithium-ion batteries and batteries. but it needs to be considered because there is a big difference between the minimum cost between a lead-acid battery and a Li-ion battery [9]. Battery has the advantages of high energy density, but with low power density, short cycle life, slow charging and discharging speed, and many other shortcomings [10,11].…”

Section: Introductionmentioning

confidence: 99%

Battery charging and discharging control of a hybrid energy system using microcontroller

Pangaribowo

Utomo

Bakar

et al. 2020

IJEECS

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This study aims to control charging and discharging the battery for hybrid energy systems. The control system works by selecting the right energy source to supply voltage to the load. And also this control system can regulate charging and discharging the battery automatically. The voltage source consists of two energy, namely from the battery and DC source. The control system that has been designed has the ability to choose the right DC source when the battery capacity is less than 80%. This system also has a good ability to choose a battery source when the battery reaches 100% capacity and the DC source has a voltage drop of more than 20%. This control system is equipped with excessive electric current protection so that the security level is high.

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A four stage battery charge controller working on a novel maximum power point tracking based algorithm for solar PV system

Cited by 4 publications

References 4 publications

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

Robust Digital Control Strategy Based on Fuzzy Logic for a Solar Charger of VRLA Batteries

Battery charging and discharging control of a hybrid energy system using microcontroller

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