Simulative design and performance analysis of hybrid optimization technique for PEM fuel cell stack based EV application

Basha, CH Hussaian; Mariprasath, T.; Murali, M.; Rafikiran, Shaik

doi:10.1016/j.matpr.2021.08.286

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…However, these neural networks need high convergence time, plus more complexity in the ANN structure. Te feedforward neural network is utilized in the diesel/battery/PEMFS system for controlling the converter duty signal at various atmospheric conditions of the fuel stack [53]. A detailed analysis of diferent types of MPPT controllers is given in Table 2.…”

Section: Literature Review On Past Published Workmentioning

confidence: 99%

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

Rafikiran,

Basha,

Dhanamjayulu

2024

International Transactions on Electrical Energy Systems

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At present, there are different types of Renewable Energy Resources (RESs) available in nature which are wind, tidal, fuel cell, and solar. The wind, tidal, and solar power systems give discontinuous power supply which is not suitable for the present automotive systems. Here, the Proton Exchange Membrane Fuel Stack (PEMFS) is used for supplying the power to the electrical vehicle systems. The features of fuel stack networks are very quick static response, plus low atmospheric pollution. Also, this type of power supply system consists of high flexibility and more reliability. However, the fuel stack drawback is a nonlinear power supply nature. As a result, the functioning point of the fuel stack varies from one position to another position on the V-I curve of the fuel stack. Here, the first objective of the work is the development of the Grey Wolf Optimization Technique (GWOT) involving a Fuzzy Logic Controller (FLC) for finding the Maximum Power Point (MPP) of the fuel stack. This hybrid GWOT-FLC controller stabilizes the source power under various operating temperature conditions of the fuel stack. However, the fuel stack supplies very little output voltage which is improved by introducing the Single Switch Universal Supply Voltage Boost Converter (SSUSVBC) in the second objective. The features of this proposed DC-DC converter are fewer voltage distortions of the fuel stack output voltage, high voltage conversion ratio, and low-level voltage stress on switches. The fuel stack integrated SSUSVBC is analyzed by selecting the MATLAB/Simulink window. Also, the proposed DC-DC converter is tested by utilizing the programmable DC source.

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Section: Literature Review On Past Published Workmentioning

confidence: 99%

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

Rafikiran,

Basha,

Dhanamjayulu

2024

International Transactions on Electrical Energy Systems

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“…Therefore, a new technique has been required to interpret the test results of camellia insulating oil. For thermal fault following temperature is used 200 [25]. At instant of thermal faults, Camellia releases higher amount of hydrogen and C2H6 .…”

Section: Recent Trends In Liquid Dielectricsmentioning

confidence: 99%

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

Basha¹,

Mariprasath²,

Kiran³

et al. 2022

ECS Trans.

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The physical, chemical and electrical prosperities of MO is matched as an insulating material for transformer. Therefore, it can be used in transformers. Whereas, the MO is extracted from the fossil fuels. Due to vast consumption of fossil fuels, the accessibility of vestige fuel is going to run out near future. In addition, the MO (MO) is doesn’t meet the new environmental regulation due to it has less biodegradable. Therefore, this research proposed a new ecological friendly insulating oil for transformer which is renewable that of petroleum based insulating oil such as MO. Initially, a critical review has been made on recent development on alternate liquid dielectrics for transformer. Subsequently, critical characteristics of insulating oil have been measured according to the standard. Added to that, the critical characteristics of Natural Ester Oil (NEO) are estimated at diverse temperatures from 50°C, 70°C, 90°C, 110°C, 130°C, and 150°C respectively.

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“…[ 18–20 ] In the base works, [ 21–23 ] several MPPT techniques such as perturb & observe (P&O), incremental conductance (INC), fuzzy logic control (FLC), adaptive neurofuzzy inference system (ANFIS), etc, for obtaining maximum power extraction from FCs are used. However, the baseline models [ 24–26 ] have the major drawbacks of high tracking time, reduced steady‐state performance, high cost, and system complexity. This research work aims to develop an optimization algorithm based MPPT for PEMFCs.…”

Section: Introductionmentioning

confidence: 99%

An Amplified Salp Swarm Optimization Algorithm for Maximum Power Point Tracking Control of Proton Exchange Membrane Fuel Cells

Injarapu Edukondala Sanyasi,

Sambana,

Chilukoti

et al. 2023

Energy Tech

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The proton exchange membrane fuel cell (PEMFC), one of the many fuel cell varieties on the market, is distinguished by its low temperatures of operation, high reliability, and extended lifespan. The fuel cell system's maximum output can only be achieved at one specific operating point under varying operating circumstances. Hence, it is essential to get the most power possible from the PEMFC for improved functioning and optimal exploitation of grid systems. Thus, the design of a maximum power point tracking (MPPT) controller for a PEMFC power system using an amplified salp swarm optimization (AS2O) algorithm is focused on. Here, an interleaved Luo converter is also used to produce a regulated output voltage with less switching stress and frequency. Moreover, the proposed work intends to effectively satisfy the energy demand of grid systems by obtaining the maximum electrical energy from the PEMFCs with less harmonics and low system complexity. The simulation and performance results of the proposed AS2O‐MPPT controlling model are validated and compared using several parameters using MATLAB/Simulink tool. Using the proposed controlling technique, the total harmonics distortion is reduced up to 1.16%, with the settling time of 0.0062 s, rise time of 0.0010 s, and peak overshoot of 0.255 W.

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Simulative design and performance analysis of hybrid optimization technique for PEM fuel cell stack based EV application

Cited by 11 publications

References 15 publications

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

An Amplified Salp Swarm Optimization Algorithm for Maximum Power Point Tracking Control of Proton Exchange Membrane Fuel Cells

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