Energy management of a fuel cell serial-parallel hybrid system

Ramírez-Murillo, Harrynson; Calvente, J.; Romero, A.; Giral, Roberto; Restrepo, Carlos

doi:10.1109/ssd.2014.6808826

Cited by 7 publications

(9 citation statements)

References 19 publications

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“…9 was used in the simulation. The maximum fuel cell power was 512 W, which is in agreement with the product of the FC parameters V F Cmin and I max in [39], [40]. However, the large variations required a load peak power of 700 W, which produced a charge and discharge of the capacitor.…”

Section: B Fc Hybrid System Operation Over Load Transientssupporting

confidence: 76%

“…6. Its voltage, power control loops and protection specifications are listed in Table I of [39], [40], where V F Cmin and V F Cmax and P omax have been changed into 26.0 V, 42.0 V and 1.2 kW, respectively, due to the FC emulator was replaced by a real PEMFC. We have chosen a 600 mF commercial electrolytic capacitor with an Equivalent Series Resistance (ESR) of 1 mΩ.…”

Section: Energy Management Descriptionmentioning

confidence: 99%

“…This master control sends the current references to the analog current loops of each converter to regulate the different voltages of the system. The master control parameters are listed in Table II of [39], [40] and it has been implemented on a Texas Instruments TMS320F28335 DSC. Fig.…”

Section: Energy Management Descriptionmentioning

confidence: 99%

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Energy Management of a Fuel-Cell Serial–Parallel Hybrid System

Ramírez-Murillo

Restrepo

Calvente

et al. 2015

IEEE Trans. Ind. Electron.

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In this work, a serial-parallel hybrid (SPH) power system formed by a Fuel Cell (FC), an Auxiliary Storage Device (ASD) and the current-controlled dc-dc converters responsible for the power management are realized by using the Digital Signal Controller (DSC) TMS32F28335. The main energy management goal is to transfer energy from the sources (FC or ASD) to the load while ensuring dc bus voltage regulation and high power conversion efficiency. In addition, a safe and reliable operation of the system has to be achieved. The selected converter and its controller features are: non-inverting voltage step up and step down, high efficiency, input and output currents regulation an low ripple values, and the ability to change from input to output current regulation loop, suddenly and smoothly, and vice versa. All these features allow it to be positioned in different FC system localizations and simplifies the design of the master control. Simulation and experimental results have been validated on a 48-V, 1200-W dc bus.

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Section: B Fc Hybrid System Operation Over Load Transientssupporting

confidence: 76%

Section: Energy Management Descriptionmentioning

confidence: 99%

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Energy Management of a Fuel-Cell Serial–Parallel Hybrid System

Ramírez-Murillo

Restrepo

Calvente

et al. 2015

IEEE Trans. Ind. Electron.

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“…From digital control technology, it is known that delay in control loop is more compare to analog control loop which offers minimum delay in loop, since the delay offered by ADC and DPWM is more in digital control that results in minimum control loop band [17,18]. In hybrid renewable energy harvesting where power control system is used, the closed-loop control bandwidth plays an important role in the determination of sensitivity of power conditioning unit for transients which occur during switching instants [19][20][21]. But for the practical realization of advanced control algorithms cannot be possible with analog control systems.…”

Section: (Ii) Stabilitymentioning

confidence: 99%

Characterization of analog and digital control loops for bidirectional buck–boost converter using PID/PIDN algorithms

Viswanatha¹,

Reddy

Rajeswari³

2020

Journal of Electrical Systems and Inf Technol

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IntroductionIn today's technology worldwide, lots of changes are happening in almost all the domains. Most of the domains run on electric power which is being generated using sources like thermal, coal, nuclear, gas and so on. But these sources are non-renewable sources that results in shortage of electric power in long run. Since the world is addicted to usage of technology and if there is no power available over which technology runs, world is going to end with traditional life style, and therefore the existing technology is working on some findings using which electric power is generated from renewable sources like solar energy, wind energy and fuel cell, etc. [1][2][3]. Output of these sources are DC power which can be stored using batteries when excess power is generated and at the same time when no power is available then power stored in batteries can be taken back for the loads also the energy generated by these renewable sources is fluctuating Abstract This article presents the characterization of analog and digital control loops using PID/ PIDN control algorithms for bidirectional buck-boost converter (BBC). Control loops of BBC are designed and implemented in MATLAB code using transfer functions in time domain with unit step response and in frequency domain with bode plots and pole-zero plots. These transfer functions are obtained by average large signal modeling of BBC. Actions of analog and digital control loops are characterized in order to ensure stability and dynamic response of BBC which is a bottleneck in renewable energy applications. Improvement in dynamic response and stability of BBC with PIDN control algorithm is demonstrated using bode plots, pole-zero plots, and step response. Control loop gain due to transfer functions of power stage and controllers is demonstrated, and it is found stable in both analog and digital control loops. PIDN compensator is proposed to maintain a healthy balance between the stability and transient behavior since both are indirectly proportional. BBC is modeled using average large signal modeling technique, simulated using MATLAB tool, and analysis of dynamic and stability response is done through unit step input, bode plot, and pole-zero plot. Hardware is designed and implemented using TMS320F28335 controller.

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“…n recent years PEMFCs have been seen as an environmentally friendly technology because of their clean chemical reactions (they use hydrogen to produce electricity, heat and water), and their efficiency. They can replace internal combustion engines in vehicles [1] [2]. Fuel cells (FCs) have the potential to provide heat and electricity not only for vehicles, but also for buildings, including houses.…”

Section: Introductionmentioning

confidence: 99%

Wavelets-based approach for online Fuel Cells Remaining Useful lifetime Prediction

Ibrahim

Steiner

Jemeï

et al. 2016

IEEE Trans. Ind. Electron.

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Prognostics and Health Management (PHM) techniques for Proton Exchange Membrane Fuel Cell (PEMFC) systems are of great importance for increasing their reliability and sustainability. PEMFC systems suffer from relatively poor longterm performance and durability, and prediction and prognosis can give early indications about when components should be fixed or replaced. Prognostics modelling needs to take account of a number of phenomena, including degradation mechanisms that are not easily measured. A number of works are currently investigating PHM in fuel cell systems, as well as the problem of estimating Remaining Useful Lifetime (RUL). Any reduction in the volume of data required for making predictions is clearly advantageous. In this work, a univariate prognostic approach based on signal processing, namely Discrete Wavelet Transform (DWT) is proposed. The proposed approach aims at achieving an online prognostic for PEMFC systems. DWT is first introduced, and then the predictions are built using the power signals of two different PEMFC stacks in two different scenarios, namely static and dynamic operating conditions. Results show that the method is reliable for online prediction of power, with prediction errors less than 3%.

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Energy management of a fuel cell serial-parallel hybrid system

Cited by 7 publications

References 19 publications

Energy Management of a Fuel-Cell Serial–Parallel Hybrid System

Energy Management of a Fuel-Cell Serial–Parallel Hybrid System

Characterization of analog and digital control loops for bidirectional buck–boost converter using PID/PIDN algorithms

Wavelets-based approach for online Fuel Cells Remaining Useful lifetime Prediction

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