• Title/Summary/Keyword: Electrochemical Modeling and Simulation

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Fuel Cell Modeling and Load Controlling by the Variable Utilization of Airflow (연료전지 모델링 및 공기이용률 제어에 관한 연구)

  • Song, S.H.;Lee, W.Y.;Kim, C.H.;Park, Y.P.
    • Journal of the Korean Electrochemical Society
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    • v.6 no.1
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    • pp.48-52
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    • 2003
  • A mathematical dynamic model of fuel cell was formulated in order to design the control system which will meet the control object. The control objective is set to regulate the airflow in the load change by utilization of airflow and the pressure difference between anode and cathode is maintained below a limit range. Simulation result of 10kW polymer electrolyte membrane fuel cell (PEMFC) clearly demonstrates that response time need to be less. than 1 seconds for the control requirements. Besides, pressure difference was allowed in pressure range less than 0.01 atm.

Three-Dimensional Modeling and Simulation of a Phosphoric Acid Fuel Cell Stack (인산형 연료전지 스택에 대한 3차원 모델링 및 모사)

  • An Hyun-shik;Kim Hyo
    • Journal of the Korean Institute of Gas
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    • v.4 no.1 s.9
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    • pp.40-48
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    • 2000
  • A fuel cell is an electrochemical device continuously converting the chemical energy in a fuel and an oxidant to electrical energy by going through an essentially invariant electrode-electrolyte system. Phosphoric acid fuel cell employs concentrated phosphoric acid as an electrolyte. The cell stack in the fuel cell, which is the most important part of the fuel cell system, is made up of anode where oxidation of the fuel occurs cathode where reduction of the oxidant occurs; and electrolyte, to separate the anode and cathode and to conduct the ions between them. Fuel cell performance is associated with many parameters such as operating and design parameters associated with the system configuration. In order to understand the design concepts of the phosphoric fuel cell and predict it's performance, we have here introduced the simulation of the fuel-cell stack which is core component and modeled in a 3-dimensional grid space. The concentration of reactants and products, and the temperature distributions according to the flow rates of an oxidant are computed by the help of a computational fluid dynamic code, i.e., FLUENT.

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A Review on 3D Structure Formation, Analysis and Performance Prediction Technique for All-solid-state Electrode and Battery (3차원 전고체 전극 구조체 형성, 분석 및 성능 예측 기술 동향)

  • Park, Joonam;Jin, Dahee;Kim, Dohwan;Bae, Kyung Taek;Lee, Kang Taek;Lee, Yong Min
    • Journal of the Korean Electrochemical Society
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    • v.22 no.4
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    • pp.139-147
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    • 2019
  • Lithium-ion battery (LiB) with high energy density and efficiency has been utilized for the electric vehicle (EV) and energy storage system (ESS) as well as portable devices. However, as explosion accidents have frequently happened till lately, all-solid-state lithium secondary battery (ALSB) began to get in a spotlight because it can secure a very high safety and energy density by substituting flammable organic liquid electrolyte to nonflammable inorganic solid electrolyte. In spite of ALSB's certain merits, it has shown much poorer performance of cells than one of LiB due to some challenges, which have been small or never dealt with in the LiB system. Hence, although plenty of studies made progress to solve them, an approach about design of all-solid-state electrode (ASSE) has been limited on account of difficulty of ALSB's experiments. That is why the virtual 3D structure of an all-solid-state electrode has to be built and used for the prediction of cell performance. In this study, we elucidate how to form the 3D ASSE structure and what to be needed for the simulation of characteristics on ALSB. Furthermore, the ultimate orientation of 3D modeling and simulation for the study of ALSB are briefly suggested.

Computational Simulation on Power Prediction of Lithium Secondary Batteries by using Pulse-based Measurement Methods (펄스 측정법에 기반한 리튬이차전지 출력 측정에 관한 전산 모사)

  • Park, Joonam;Byun, Seoungwoo;Appiah, Williams Agyei;Han, Sekyung;Choi, Jin Hyeok;Ryou, Myung-Hyun;Lee, Yong Min
    • KEPCO Journal on Electric Power and Energy
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    • v.1 no.1
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    • pp.33-38
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    • 2015
  • Energy storage systems (ESSs) have been utilized widely in the world to optimize the power operation system and to improve the power quality. As lithium secondary batteries are the main power supplier for ESSs, it is very important to predict its cycle and power degradation behavior. In particular, the power, one of the hardest electrochemical properties to measure, needs lots of resources such as time and facilities. Due to these difficulties, computer modelling of lithium secondary batteries is applied to predict the DC-IR and power value during charging and discharging as a function of state of charge (SOC) by using pulse-based measurement methods. Moreover, based on the hybrid pulse power characteristics (HPPC) and J-Pulse (JEVS D 713, Japan Electric Vehicle Association Standards) methods, their electrochemical properties are also compared and discussed.

Fundamental Small-signal Modeling of Li-ion Batteries and a Parameter Evaluation Using Levy's Method

  • Zhang, Xiaoqiang;Zhang, Mao;Zhang, Weiping
    • Journal of Power Electronics
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    • v.17 no.2
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    • pp.501-513
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    • 2017
  • The fundamental small-signal modeling of lithium-ion (Li-ion) batteries and a parameter evaluation approach are investigated in this study to describe the dynamic behaviors of small signals accurately. The main contributions of the study are as follows. 1) The operational principle of the small signals of Li-ion batteries is revealed to prove that the sinusoidal voltage response of a Li-ion battery is a result of a sinusoidal current stimulation of an AC small signals. 2) Three small-signal measurement conditions, namely stability, causality, and linearity, are proved mathematically proven to ensure the validity of the frequency response of the experimental data. 3) Based on the internal structure and electrochemical operational mechanism of the battery, an AC small-signal model is established to depict its dynamic behaviors. 4) A classical least-squares curve fitting for experimental data, referred as Levy's method, are introduced and developed to identify small-signal model parameters. Experimental and simulation results show that the measured frequency response data fit well within reading accuracy of the simulated results; moreover, the small-signal parameters identified by Levy's method are remarkably close to the measured parameters. Although the fundamental and parameter evaluation approaches are discussed for Li-ion batteries, they are expected to be applicable for other batteries.

The control of Interleaved Multi-phase Boost Converter for Application of a Fuelcell Railway Vehicle (연료전지 철도차량 적용을 위한 인터리브드 다상 승압형 컨버터 제어)

  • Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.11
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    • pp.1925-1930
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    • 2016
  • Fuel cell power generation system, unlike conventional energy sources, converts chemical energy into electrical energy through electrochemical reaction of hydrogen and oxygen. This paper presents the control of interleaved multi-phase boost converter as the feasibility study on small-scale prototype electric railway vehicle application using fuel cell generation system. PSIM simulation program is to be used to implement the modeling of the electrical fuelcell as well as traction motor control with interleaved multi-phase boost converter. Comparing the input current ripple rate, two-phase interleaved boost converter is less than the boost converter. But the more multi-phase not less proportional to the ripple factor. we confirmed that the amplitude of the input current ripple rate of converter depend on duty ratio.

Computational Analysis for a Molten-salt Electrowinner with Liquid Cadmium Cathode (액체 카드뮴 음극을 사용한 용융염 전해제련로 전산해석)

  • Kim, Kwang-Rag;Jung, Young-Joo;Paek, Seung-Woo;Kim, Ji-Yong;Kwon, Sang-Woon;Yoon, Dal-Seong;Kim, Si-Hyung;Shim, Jun-Bo;Kim, Jung-Gug;Ahn, Do-Hee;Lee, Han-Soo
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.8 no.1
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    • pp.1-7
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    • 2010
  • In the present work, an electrowinning process in the LiCl-KCl/Cd system is considered to model and analyze the electrotransport of the actinide and rare-earth elements. A simple dynamic modeling of this process was performed by taking into account the material balances and diffusion-controlled electrochemical reactions in a diffusion boundary layer at an electrode interface between the molten salt electrolyte and liquid cadmium cathode. The proposed modeling approach was based on the half-cell reduction reactions of metal chloride occurring on the cathode. This model demonstrated a capability for the prediction of the concentration behaviors, a faradic current of each element and an electrochemical potential as function of the time up to the corresponding electrotransport satisfying a given applied current based on a galvanostatic electrolysis. The results of selected case studies including five elements (U, Pu, Am, La, Nd) system are shown, and a preliminary simulation is carried out to show how the model can be used to understand the electrochemical characteristics and provide better information for developing an advanced electrowinner.

Physical Property Analysis of Composite Electrodes with Different Active Material Sizes and Densities using 3D Structural Modeling (3차원 구조 모델링을 이용한 활물질 입자 크기 및 전극 밀도에 따른 복합 전극 내 물리적 특성 분석)

  • Yang, Seungwon;Park, Joonam;Byun, Seoungwoo;Kim, Nayeon;Ryou, Myung-Hyun;Lee, Yong Min
    • Journal of the Korean Electrochemical Society
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    • v.23 no.2
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    • pp.39-46
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    • 2020
  • Composite electrodes for rechargeable batteries generally consist of active material, electric conductor, and polymeric binder. And their composition and distribution within the composite electrode determine the electrochemical activity in the electrochemical systems. However, it is not easy to quantify the physical properties of composite electrodes themselves using conventional experimental analysis tools. So, 3D structural modeling and simulation can be an efficient design tool by looking into the contact areas between particles and electric conductivity within the composite electrode. In this study, while maintaining the composition (LiCoO2 : Super P Li® : Polyvinylidene Fluoride (PVdF) = 93 : 3 : 4 by wt%) and loading level (13 mg cm-2) of the composite electrode, the effects of LiCoO2 size (10 ㎛ and 20 ㎛) and electrode density (2.8 g cm-3, 3.0 g cm-3, 3.2 g cm-3, 3.5 g cm-3, 4.0 g cm-3) on the physical properties are investigated using a GeoDict software. With this tool, the composite electrode can be efficiently designed to optimize the contact area and electric conductivity.