Pei Shanshan Capacitor Scientific Modeling


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Faculty Profiles

1.5層スペースフレームは2層の節点と1層の弦材および斜材によって構成される最新構造システムであり,上弦材があれば下弦材が不要,下弦材があれば上弦材が不要である.本研究は,1.5層スペースフレームの実用化を目標とし,力学解析や載荷実験を行い,その形状パラメーター(構成

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Shanshan PEI | Research Assistant Professor | Ph.D. | Medicine

My Postdoc research focuses on two topics: A) Pathways that maintain leukemic stem cells (LSC); B) Leukemic clonal evolution during therapeutic treatments. My ultimate goal is to

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Pei Shan FAM | PhD | Universiti Sains Malaysia, George

Pei Shan FAM | Cited by 90 | of Universiti Sains Malaysia, George Town (USM) | Read 15 publications | Contact Pei Shan FAM

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Artificial neural network enabled capacitance prediction for

Carbon is the most widely used electrode for the supercapacitors. This work applies the artificial neural network (ANN) technology to predict the capacitance of carbon-based supercapacitors. For training the ANN model, we extracted data from hundreds of

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A review of supercapacitor modeling, estimation, and

The potential engineering applications of SCs are being continually explored. This paper presents a review of SC modeling, state estimation, and industrial applications reported in the literature, with the overarching goal to summarize recent research progress and stimulate innovative thoughts for SC control/management. For SC modeling, the

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Pei-Zhen Zhang''s research works | Sun Yat-Sen University,

Pei-Zhen Zhang''s 27 research works with 2,210 citations and 5,932 reads, including: Eocene–Miocene tectonic reworking of the southeastern Tibetan Plateau: Geochronological and geochemical

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Supercapacitor Modeling: A System Identification Approach

One common technique for modeling the dynamic operation of SCs is through an electrical circuit model (ECM). This article presents a new approach to identifying ECM parameters by applying subspace system identification (SSID) algorithms and incorporating coulombic efficiency.

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Artificial neural network enabled capacitance prediction for carbon

Carbon is the most widely used electrode for the supercapacitors. This work applies the artificial neural network (ANN) technology to predict the capacitance of carbon

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Pei Shanshan''s research works | Macau University of Science and

Pei Shanshan''s 4 research works with 3 citations and 43 reads, including: An Evaluation System Based on User Big Data Management and Artificial Intelligence for Automatic...

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Modeling capacitance of carbon-based supercapacitors by

This paper describes the creation of an ANN model to interpret how voltage window (V), I D /I G, N/O-dopings (at. %), pore size (nm), and specific surface area (m 2 /g) parameters influence the specific capacitance (F/g). The experimentation has been carried out with several ANN architectures to achieve the best fit between the inputs and output.

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Design, Modeling, and Fabrication of an Ultra-Thin Planar Capacitor

In this work, we present the design and fabrication process of an ultra-thin capacitor model, the "planar accordion capacitor." This capacitor, which meets the requirements of various fields, was developed at the Plasma and Energy Conversion Laboratory (LAPLACE) of the University Paul Sabatier-France. We used the interesting properties of embedded

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Modeling capacitance of carbon-based supercapacitors by

This paper describes the creation of an ANN model to interpret how voltage window (V), I D /I G, N/O-dopings (at. %), pore size (nm), and specific surface area (m 2 /g)

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Supercapacitors: Electrical Characteristics, Modeling, Applications

Given the high interest in system modeling and a large number of papers published on this topic, modeling techniques are classified, explained, and compared, addressing their strengths and weaknesses, and the experimental techniques used to measure the modeled properties are described.

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[PDF] Hysteresis and creep modeling and compensation for a

A physics-based fractional-order Maxwell resistive capacitor (FOMRC) model is proposed to characterize nonlinear hysteresis and creep behaviors of a piezoelectric actuator (PEA). The Maxwell resistive capacitor (MRC) model is interpreted physically in the electric domain for PEAs. Based on this interpretation, the MRC model is modified to directly describe

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A novel discrete-time state-space model for real-time simulation

Based on current research progress, this paper proposes a novel discrete-time state-space model based on characteristics of capacitor and inductor (DSMCCI). In order to further enhance the accuracy and speed of real-time simulation in power system, the DSMCCI optimizes the discretization process of state-space differential equations and

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A novel discrete-time state-space model for real-time simulation

Based on current research progress, this paper proposes a novel discrete-time state-space model based on characteristics of capacitor and inductor (DSMCCI). In order to further enhance the

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Modelling, Simulation and Characterization of a Supercapacitor

In this paper, a supercapacitor model suitable for the simulation in automotive applications is identified. The model parameters are estimated and used to simulate the behaviour of a commercial SCs bank in different operating conditions. The model is finally validated considering experimental results.

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Comparison and Modeling of Commercial Supercapacitors via

Generally it is well written manuscript which describes a comparison of metrics for three different commercial electrochemical capacitor (supercapacitor) using potentiostatic

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Shan JIANG | PhD | Xidian University, Xi''an | Research profile

Shan JIANG | Cited by 460 | of Xidian University, Xi''an | Read 48 publications | Contact Shan JIANG

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Supercapacitor Modeling: A System Identification Approach

One common technique for modeling the dynamic operation of SCs is through an electrical circuit model (ECM). This article presents a new approach to identifying ECM

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Pei-Hsin Liu''s research works | Virginia Tech (Virginia Polytechnic

Pei-Hsin Liu''s 15 research works with 244 citations and 13,037 reads, including: State-Trajectory Control With Single-Cycle Response for Point-of-Load Converters

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Modelling, Simulation and Characterization of a Supercapacitor in

In this paper, a supercapacitor model suitable for the simulation in automotive applications is identified. The model parameters are estimated and used to simulate the behaviour of a

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Supercapacitors: Electrical Characteristics, Modeling, Applications

Given the high interest in system modeling and a large number of papers published on this topic, modeling techniques are classified, explained, and compared,

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A review of supercapacitor modeling, estimation, and applications:

The potential engineering applications of SCs are being continually explored. This paper presents a review of SC modeling, state estimation, and industrial applications reported

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Jinjun Shan''s research works | New York University, NY (NYU)

Jinjun Shan''s 145 research works with 2,301 citations and 10,685 reads, including: Game-theoretic Decision-making for Autonomous Driving Vehicles

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Xueling Shan''s research works | Changzhou University,

Xueling Shan''s 60 research works with 520 citations and 1,553 reads, including: Cobaltous sulfide/S-doped Ti3C2 MXene nanocomposites with coreaction acceleration effect for high-performance

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Liang SHAN | Nanjing University of Science and Technology,

Liang SHAN | Cited by 484 | of Nanjing University of Science and Technology, Nanjing (NJUST) | Read 67 publications | Contact Liang SHAN

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Comparison and Modeling of Commercial Supercapacitors via

Generally it is well written manuscript which describes a comparison of metrics for three different commercial electrochemical capacitor (supercapacitor) using potentiostatic electrochemical impedance spectroscopy (PEIS). Different models are proposed for A, B, C supercapacitors.

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6 FAQs about [Pei Shanshan Capacitor Scientific Modeling]

How do we model the specific capacitance of supercapacitors?

We compiled a database by looking at over 100 research articles to model the specific capacitance of supercapacitors. The specific capacitance can be influenced by physiochemical characteristics such as specific surface area, pore size, I D /I G ratio, voltage window, nitrogen, and atomic oxygen percentages.

Which ANN model is best for specific capacitance of carbon-based materials?

ANN models were developed for the specific capacitance of carbon-based materials. The best architecture was 6-11-11-11-1 with 0.9 MT, 0.5 LR, and 10,000 iterations. A GUI was created based on the synaptic weights of the ANN model. Quantitatively estimated the input variable's impact on specific capacitance.

Can ANN model predict specific capacitance?

The model predictions (adj.R 2 = 0.99) and estimation of the isolated effect of independent variables, such as voltage window, cannot be varied independently in practice. The results from the ANN model were consistent with the existing theory and reasonable in estimating the specific capacitance beyond the scope of the experimental data.

How do we estimate the specific capacitance of carbon-based supercapacitors?

Acquiring a comprehensive evaluation method is crucial to estimate the specific capacitance of carbon-based supercapacitors accurately. The ANN models use learning algorithms on specified data to characterize the complicated relationship between dependent and independent variables.

What is a discrete-time state-space model based on capacitor and inductor?

This paper proposes a novel discrete-time state-space model based on characteristics of capacitor and inductor, which aims to improve the speed and accuracy of real-time simulation in power systems. In the proposed method, the characteristic equations of capacitor and inductor are firstly discretized by numerical integration methods.

What is the relation between capacitance (C) and SSA (a)?

The relation of capacitance (C) and SSA (A) can be described by C = εε 0 A/d (ε is the electrolyte dielectric constant, ε 0 is the vacuum permittivity, and d the distance between the center of the ion and the carbon surface) , . It is necessary to increase the SSA in order to enhance the capacitance ( Fig. 1 a).

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