An intelligent lead-acid battery closed-loop charger using a combined fuzzy controller for PV applications

Rkik, Iliass; Khayat, Mohamed El; Hamidane, Hafsa; Ed-Dahhak, Abdelali; Guerbaoui, M.; Lachhab, Abdeslam

doi:10.1051/e3sconf/202129701033

Cited by 4 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The system diagram is shown in (Figure 10B). The modeling of an intelligent combined MPPT and lead acid battery charger controller for freestanding solar PV systems was presented by the study cited in (Rkik et al, 2021). It entails controlling a DC/DC buck converter via a control unit that incorporates two cascaded FLC that modify the converter's required duty cycle based on the SOC and the three-stage lead acid battery charging system.…”

Section: Frontiers In Energy Researchmentioning

confidence: 99%

See 1 more Smart Citation

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Hasan

Altinoluk²

2023

Front. Energy Res.

View full text Add to dashboard Cite

Solar photovoltaic (PV) microgrids have gained popularity in recent years as a way to improve the stability of intermittent renewable energy generation in systems, both off-grid and on-grid, and to meet the needs of emergency settings during natural catastrophes. Over the last several decades, researchers have been interested in improving the efficiency of photovoltaic (PV) systems. Solar-battery charge controllers based on various algorithms are continuously and intensively employed to improve energy transfer efficiency and reduce charging time. This paper presents state-of-the-art solar photovoltaic (PV) integrated battery energy storage systems (BESS). An overview of and motivations for PV-battery systems is initially introduced, followed by the survey methodology and its contributions. In addition, this study classifies residential solar PV systems and battery charge controllers with their corresponding references in the review structure, which also provides details on battery charger topologies. Subsequently, an analytical review of the PV-Battery charge controller and the failure probability of such systems is discussed to determine the system components that mostly fail and their importance in the system. Finally, recommendation amendments to the existing charge controller that potentially contribute to increasing the system efficiency, reducing the failure probabilities, and reducing the cost are presented as future design concepts for the entire system.

show abstract

Section: Frontiers In Energy Researchmentioning

confidence: 99%

“…(B) A PWM for fast battery charging (Mehmood et al, 2016). (C) incorporates two cascaded FLC (Rkik et al, 2021). (D) A multi-port DC-DC power converter (Almutairi et al, 2021).…”

Section: Figure 10mentioning

confidence: 99%

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Hasan

Altinoluk²

2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…It is composed of two converters (AC/DC/AC) linked by a DC bus. Its function is to regulate the DFIG's powers and currents, then provide the optimal active power and unit power factor to the grid [23], [24], [25].…”

Section: Mathematical Modelling Of the Systemmentioning

confidence: 99%

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Bouderbala

Bossoufi

Aroussi

et al. 2022

IJPEDS

View full text Add to dashboard Cite

To successfully carry out a wind energy conversion system, it is necessary to simultaneously control the rotor and the grid side. This paper proposes a doubly-fed induction generator's predictive power control. While the powers are controlled indirectly through currents, the latter is controlled using the deadbeat command. Based on discrete-time, the control suggests at each sample period the required voltages to the the-back-to-back converter to reach the desired setpoints, control the powers, and the DC link voltages. For these reasons, a presentation of the system is given first, then a description of the predictive control, followed by applying this strategy on the rotor side control and grid side control. Finally, a random wind profile was applied to analyze the system's performance with a unitary power factor. The simulation results are presented in the MATLAB/Simulink environment using a 1.5 kW DFIG. The results obtained by applying a random wind profile have well fulfilled the objectives of the control and the system robustness is approved by the excellent tracking allowing the machine's internal parameters variation. By comparing the quality and the tracking reference of the proposed control method to other control methods, the deadbeat controller was very promising.

show abstract

An hybrid control strategy design for Photovoltaic battery charger

et al. 2022

Self Cite

View full text Add to dashboard Cite

This work presents the design and the modelling of an improved lead acid Battery charger for solar photovoltaic applications. In this context, the control unit of the battery charger is composed of two intelligent controllers. In the first state, an MPPT controller based on an Adaptive neuro-fuzzy inference system (ANFIS) is used to extract the full maximum power provided by the PV array, in the second stage, the control unit switches to the regulator mode on the basis of a fuzzy logic control block that offers the three charging stages according to DIN 41773 standard for lead-acid battery. In order to demonstrate the performance of the ANFIS controller, this paper presents also a comparison of several MPPT techniques for solar PV applications.

show abstract

An intelligent lead-acid battery closed-loop charger using a combined fuzzy controller for PV applications

Cited by 4 publications

References 16 publications

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Current and future prospective for battery controllers of solar PV integrated battery energy storage systems

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

An hybrid control strategy design for Photovoltaic battery charger

Contact Info

Product

Resources

About