Increasing PEM fuel cell performance via fuzzy-logic controlled cascaded DC-DC boost converter

Kart, Sude; Demir, Funda; Kocaarslan, İlhan; Genç, Naci

doi:10.1016/j.ijhydene.2023.05.130

Cited by 20 publications

(3 citation statements)

References 20 publications

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“…DC-DC buck-boost converters employed in electric vehicles (EVs) implement various control methods, each possessing its own set of advantages and disadvantages. Prominent control methodologies encompass the fuzzy logic controller (FLC) [34][35][36][37][38], model predictive controller (MPC) [39,40], and proportional-integral-derivative (PID) controller [41][42][43].…”

Section: From a Solitary Input Voltagementioning

confidence: 99%

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A Proposed Single-Input Multi-Output Battery-Connected DC–DC Buck–Boost Converter for Automotive Applications

Tekin,

Setrekli,

Murtulu

et al. 2023

Electronics

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In the realm of electric vehicles (EVs), achieving diverse direct current (DC) voltage levels is essential to meet varying electrical load demands. This requires meticulous control of the battery voltage, which must be adjusted in line with specific load characteristics. Therefore, the integration of a well-designed power converter circuit is crucial, as it plays a pivotal role in generating different DC voltage outputs. In this study, we also consider the incorporation of two additional doubler/divider circuits at the end of the proposed converter, further enhancing its capacity to produce distinct DC voltage levels, thus increasing its versatility. The standout feature of the proposed converter lies in its remarkable ability to amplify DC voltages significantly. For instance, when the input battery voltage is set at 48 VDC with a duty cycle (D) of 0.8, the resulting output demonstrates a remarkable augmentation, producing voltages 18, 36, and 72 times higher than the input voltage. Conversely, with a reduced D of 0.2 while maintaining the input voltage at 48 VDC, the converter yields diminished voltages of 0.1875, 0.375, and 0.75 times the initial voltage. This adaptability, based on the parameterization of D, underscores the converter’s ability to cater to a wide range of voltage requirements. To oversee the intricate operations of this versatile converter, a high-speed DSP-based controller system is employed. It utilizes the renowned PID approach, known for its proficiency in navigating complex, nonlinear systems. Experimental results validate the theoretical and simulation findings, reaffirming the converter’s practical utility in EV applications. The study introduces a simple control mechanism with a single power switch, high efficiency for high-power applications, wide voltage range, especially with VDC and VMC cells, and continuous current operation for the load in CCM mode. This study underscores the significance of advanced power conversion systems in shaping the future of electric transportation.

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Section: From a Solitary Input Voltagementioning

confidence: 99%

“…Refs. [6,7,34] present a comprehensive loss calculation through a deep mathematical analysis. The theoretical and simulation loss calculation in Figure 19 is performed according to these references.…”

Section: The Proposed Convertermentioning

confidence: 99%

A Proposed Single-Input Multi-Output Battery-Connected DC–DC Buck–Boost Converter for Automotive Applications

Tekin,

Setrekli,

Murtulu

et al. 2023

Electronics

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show abstract

“…The authors of [ 29 , 30 , 31 ] have employed FL for determination of DU of the DC-DC boost converter for MPPT of PEM-FC. In the same regard, several controllers have been employed, such as model predictive control (MPC) [ 32 ], sliding mode controller (SMC) [ 33 , 34 , 35 ], fuzzy logic controller (FLC) [ 36 , 37 , 38 , 39 , 40 ], FLC-based VSS [ 41 , 42 , 43 ], and FLC optimized by various algorithms, e.g., firefly optimizer [ 44 ] and differential evolution (DE) [ 45 ].…”

Section: Introductionmentioning

confidence: 99%

MPPT of PEM Fuel Cell Using PI-PD Controller Based on Golden Jackal Optimization Algorithm

Agwa,

Alanazi,

Kraiem

et al. 2023

Biomimetics

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Subversive environmental impacts and limited amounts of conventional forms of energy necessitate the utilization of renewable energies (REs). Unfortunately, REs such as solar and wind energies are intermittent, so they should be stored in other forms to be used during their absence. One of the finest storage techniques for REs is based on hydrogen generation via an electrolyzer during abundance, then electricity generation by fuel cell (FC) during their absence. With reference to the advantages of the proton exchange membrane fuel cell (PEM-FC), this is preferred over other kinds of FCs. The output power of the PEM-FC is not constant, since it depends on hydrogen pressure, cell temperature, and electric load. Therefore, a maximum power point tracking (MPPT) system should be utilized with PEM-FC. The techniques previously utilized have some disadvantages, such as slowness of response and largeness of each oscillation, overshoot and undershoot, so this article addresses an innovative MPPT for PEM-FC using a consecutive controller made up of proportional-integral (PI) and proportional-derivative (PD) controllers whose gains are tuned via the golden jackal optimization algorithm (GJOA). Simulation results when applying the GJOA-PI-PD controller for MPPT of PEM-FC reveal its advantages over other approaches according to quickness of response, smallness of oscillations, and tininess of overshoot and undershoot. The overshoot resulting using the GJOA-PI-PD controller for MPPT of PEM-FC is smaller than that of perturb and observe, GJOA-PID, and GJOA-FOPID controllers by 98.26%, 86.30%, and 89.07%, respectively. Additionally, the fitness function resulting when using the GJOA-PI-PD controller for MPPT of PEM-FC is smaller than that of the aforementioned approaches by 93.95%, 87.17%, and 87.97%, respectively.

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An Interleaved DC-DC Boost Converter for Performance Enhancement of Proton Exchange Membrane Fuel Cell System Using Fuzzy Logic Controller

Mitra,

Arya,

Gupta

et al. 2024

Lecture Notes in Networks and Systems

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Increasing PEM fuel cell performance via fuzzy-logic controlled cascaded DC-DC boost converter

Cited by 20 publications

References 20 publications

A Proposed Single-Input Multi-Output Battery-Connected DC–DC Buck–Boost Converter for Automotive Applications

A Proposed Single-Input Multi-Output Battery-Connected DC–DC Buck–Boost Converter for Automotive Applications

MPPT of PEM Fuel Cell Using PI-PD Controller Based on Golden Jackal Optimization Algorithm

An Interleaved DC-DC Boost Converter for Performance Enhancement of Proton Exchange Membrane Fuel Cell System Using Fuzzy Logic Controller

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