Article
Engineering, Electrical & Electronic
Mitar Simic, Adrian K. Stavrakis, Goran M. Stojanovic
Summary: This paper presents a processing-efficient method for parameter estimation of a Randles circuit, which does not require iteration and can be implemented on microcontroller platforms. The method was validated through simulations and experimental data, confirming its reliability and accuracy for low-cost embedded hardware.
IEEE SENSORS JOURNAL
(2021)
Article
Materials Science, Multidisciplinary
Ru Bai, Shuguang Liu, Liqiang Yin, Changwang Yan, Ji Zhou, Lihe Lu, Lin Li
Summary: In this work, the damage degree of freeze-thaw of engineered cementitious composites (ECC) was assessed by electrochemical impedance spectroscopy (EIS) technique. The results showed that the EIS behavior of ECC varied with the freeze-thaw cycles, with the diameter of the Nyquist curve in high frequency gradually reduced and the volume resistance decreasing. A simplified microstructure and conductive paths were used to describe the freeze-thaw damage mechanism of ECC, and an equivalent circuit model of ECC exposed to freeze-thaw cycles was proposed.
MATERIALS & DESIGN
(2023)
Article
Energy & Fuels
Sida Li, Xuezhe Wei, Shangfeng Jiang, Hao Yuan, Pingwen Ming, Xueyuan Wang, Haifeng Dai
Summary: In this paper, electrochemical impedance spectroscopy is used to characterize hydrogen crossover in fuel cells for the first time. An equivalent circuit model is established based on analyzing different electrochemical processes occurring on fuel cell electrodes. By comparing impedance characteristics under different experimental conditions, a single parameter is identified as the diagnostic indicator for hydrogen crossover.
Article
Automation & Control Systems
Dulyawat Doonyapisut, Byeongkyu Kim, Jung Kyu Kim, Eunseok Lee, Chan-Hwa Chung
Summary: Advancements in energy storage, photocatalysis, and sensors have generated large amounts of electrochemical impedance (EIS) data. Interpreting this data is challenging, but recent progress in machine learning (ML) models for EIS classification has been made. However, most models lack physical descriptor representation. In this study, variational autoencoders (VAE) were applied to EIS data analysis, achieving accurate classification, parameter prediction, and physical descriptor visualization.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Energy & Fuels
Samuel Cruz-Manzo, Paul Greenwood
Summary: This study develops an analytical transfer function based on electrode theory to simulate the frequency impedance spectrum and dynamic response of finite-length Warburg impedance. It validates the function using parameters estimated from experimental measurements in PEFCs and constructs Simulink models to simulate the dynamic output voltage of PEFCs and Li-ion batteries. The study establishes a wider connection between electrochemical impedance spectroscopy and the dynamic output voltage of electrochemical power systems.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets
Summary: An identification algorithm based on gene expression programming is introduced to support researchers in deciding which equivalent electrical circuit to use for analyzing electrochemical impedance spectroscopy measurements. This algorithm enhances the interpretability of resulting circuits by removing redundant components and departing from an initial population of widely applied circuits, enabling quick identification of known circuits capable of modeling the data.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Zhihao Yu, Ruituo Huai, Hongyu Li
Summary: This article proposes a battery fractional-order model parameter identification method based on cooperative evolution particle swarm optimization, which can run in real time and reduce computational costs. Tests show that the fractional-order model is more effective in a wider optimization space, CPSO can track time-varying battery parameters in real time.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Mitar Simic, Adrian K. Stavrakis, Tijana Kojic, Varun Jeoti, Goran M. Stojanovic
Summary: This article presents a method for in situ parameter estimation of the Randles circuit. It overcomes the limitations of iterative and PC-based estimation approaches and is suitable for implementation on cost-effective microcontroller-based portable systems.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Jianchao Zhang, Fan Zheng, Zheming Liu, Shuxian Hong, Biqin Dong, Feng Xing
Summary: The nondestructive monitoring of the cement hydration process was achieved through electrochemical impedance spectroscopy (EIS) in this study. A novel equivalent circuit model was established to characterize the cement hydration process electrochemically, revealing a positive correlation between the resistance parameter (Rct1) and both the hydration degree and compressive strength. The EIS method based on Rct1 can trace and characterize the development stages of the hydration process non-destructively.
Article
Mathematics, Interdisciplinary Applications
Riccardo Caponetto, Fabio Matera, Emanuele Murgano, Emanuela Privitera, Maria Gabriella Xibilia
Summary: This paper presents the identification of a Fractional-Order Transfer Function (FOTF) to represent the behavior of a Fuel Cell (FC) in a set of working points using a data-driven approach. A genetic algorithm was used to determine the parameters that best fit the input data in each working point, and a method was proposed to select a single set of parameters to represent the system behavior in all considered working conditions. Comparisons with an equivalent circuit model from the literature showed the advantages of the proposed approach.
FRACTAL AND FRACTIONAL
(2021)
Article
Chemistry, Physical
Xiaohu Zhang, Xiong Zhang, Xianzhong Sun, Yabin An, Shuang Song, Chen Li, Kai Wang, Fangyuan Su, Cheng-Meng Chen, Fangyan Liu, Zhong-Shuai Wu, Yanwei Ma
Summary: This study analyzed the impedance characteristics of LICs and established an ECM model to describe their impedance behavior. It was found that the charging-discharging cut-off voltage and cycle numbers greatly influence the impedance and capacity retention rate of LICs.
JOURNAL OF POWER SOURCES
(2021)
Article
Electrochemistry
Hangyue Li, Zewei Lyu, Minfang Han
Summary: The Equivalent Circuit Model (ECM) is a powerful technique to analyze and compare Electrochemical Impedance Spectroscopy (EIS) data. However, noise poses a challenge to the accuracy of ECM. In this paper, a robust and fast algorithm is proposed to detect outliers, weigh the EIS data, and fit an ECM within a second, significantly reducing the impact of noise.
ELECTROCHIMICA ACTA
(2022)
Review
Energy & Fuels
Murat Ates, Achref Chebil
Summary: This work presents a state of the art review on energy storage systems, focusing on supercapacitors and batteries as alternative technologies for electrical energy generation. The review includes an analysis of the evolution of electroactive materials and a classical modeling approach based on electric equivalent circuits. The research aims to create circuits using physical models that represent conservation and diffusion interactions, and the suggested synthesis technique involves model discretization, linearization, model order reduction, and passive network synthesis. This comprehensive investigation is expected to lead to breakthrough developments in obtaining nanocomposites.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Materials Science, Multidisciplinary
M. Ben Moussa, A. Hakamy, I. Sahli, M. Abdellaoui
Summary: This paper investigates the electrochemical properties of LaNi4Fe compound obtained by mechanical alloying for two different durations. The hydrogen diffusion coefficients and particle radii of the compound are determined using cyclic voltammetry and chronoamperomety. Impedance spectra is used to describe the electrochemical processes at the electrode-electrolyte interface. A model of the electrochemical mechanism at the electrode interface of a NiMH battery is proposed.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Pavel E. L'vov, Renat T. Sibatov, Igor O. Yavtushenko, Evgeny P. Kitsyuk
Summary: This paper calculates and analyzes the electrochemical impedance responses of subdiffusive phase transition materials in a one-dimensional cell with reflecting and absorbing boundary conditions. The study is based on the generalization of the diffusive Warburg impedance within the fractional phase field approach using the time-fractional Cahn-Hilliard equation. The impedance spectra derived in the model are applied to study the response of supercapacitors with polyaniline/carbon nanotube electrodes.
FRACTAL AND FRACTIONAL
(2021)
Article
Automation & Control Systems
M. Farah, G. Mercere, R. Ouvrard, T. Poinot
INTERNATIONAL JOURNAL OF CONTROL
(2019)
Article
Mathematics, Applied
Achraf Nasser Eddine, Benoit Huard, Jean-Denis Gabano, Thierry Poinot
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2018)
Article
Automation & Control Systems
Regis Ouvrard, Guillaume Mercere, Thierry Poinot, Frederic Jiguet, Lauriane Mouysset
CONTROL ENGINEERING PRACTICE
(2019)
Article
Chemistry, Analytical
Achraf Nasser-Eddine, Benoit Huard, Jean-Denis Gabano, Thierry Poinot, Serguei Martemianov, Anthony Thomas
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2020)
Proceedings Paper
Automation & Control Systems
Achraf Nasser-Eddine, Omar Arahbi, Benoit Huard, Jean-Denis Gabano, Thierry Poinot
Summary: This paper presents a method for parameter identification of a Li-ion cell fractional model using measurements in the time domain. The results are validated using simulation and experimental data, and demonstrate the significance and relevance of the proposed methodology.
2022 10TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC)
(2022)
Proceedings Paper
Automation & Control Systems
Achraf Nasser Eddine, Benoit Huard, Jean-Denis Gabano, Thierry Poinot, Anthony Thomas, Serguei Martemianov
Proceedings Paper
Automation & Control Systems
Achraf Nasser Eddine, Benoit Huard, Jean-Denis Gabano, Thierry Poinot, Anthony Thomas, Serguei Martemianov
Article
Automation & Control Systems
Subhashis Nandy
Summary: This research focuses on the design and stability analysis of nonlinear controllers for an electrically driven marine cycloidal propeller, along with estimating various parameters using the Extended Kalman Filter. The controller is defined using an efficient physics-based model and is able to accurately process multiple control signals. The robustness of the controller is assessed using Monte Carlo simulation, and its performance is evaluated through validation investigations.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Lucas C. Borin, Guilherme Hollweg, Caio R. D. Osorio, Fernanda M. Carnielutti, Ricardo C. L. F. Oliveira, Vinicius F. Montagner
Summary: This work presents a new automated test-driven design procedure for robust and optimized current controllers applied to LCL-filtered grid-tied inverters. The design of control gains is guided by high-fidelity simulations and particle swarm optimization algorithm, considering various normal and abnormal operating conditions. The proposed design ensures superior performance compared with other current control designs.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Wei He, Xiang Wang, Mohammad Masoud Namazi, Wangping Zhou, Josep M. Guerrero
Summary: The main objective of this paper is to develop a reduced-order adaptive state observer for a large class of DC-DC converters with constant power load, in order to estimate their unavailable states and unknown parameter and achieve an output feedback control scheme. The observer is designed using a generalized parameter estimation based observer technique and dynamic regressor extension and mixing method. The comparison study shows that the observer has the advantage of verifying the observability of the systems for exponential convergence without any extra excitation condition.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Te Zhang, Bo Zhu, Lei Zhang, Qingrui Zhang, Tianjiang Hu
Summary: This paper introduces a control technique called time-varying uncertainty and disturbance estimator (TV-UDE) which extends the classic UDE approach to handle more complicated issues. By combining TV-UDE with a nominal dynamic output-feedback controller, robust control for uncertain second-order attitude control systems without velocity measurements is achieved. Numerical simulations and physical experiments on a 2-DOF AERO attitude helicopter platform demonstrate the effectiveness of the proposed design in reducing steady-state errors and avoiding issues caused by high-gain estimation.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Kanishke Gamagedara, Taeyoung Lee, Murray Snyder
Summary: This paper presents the developments of flight hardware and software for a multirotor unmanned aerial vehicle capable of autonomously taking off and landing on a moving vessel in ocean environments. The flight hardware consists of a general-purpose computing module connected to a low-cost inertial measurement unit, real-time kinematics GPS, motor speed controller, and a camera through a custom-made printed circuit board. The flight software is developed in C++ with multi-threading to execute control, estimation, and communication tasks simultaneously. The proposed flight system is verified through autonomous flight experiments on a research vessel in Chesapeake Bay, utilizing real-time kinematics GPS for relative positioning and vision-based autonomous flight for shipboard launch and landing.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Yun Zhu, Kangkang Zhang, Yucai Zhu, Pengfei Jiang, Jinming Zhou
Summary: In this study, a three-term Dynamic Matrix Control (DMC) algorithm using quadratic programming is developed and compared with the traditional two-term DMC algorithm. Simulation studies and real-life tests show that the three-term DMC algorithm outperforms the two-term DMC algorithm in control effectiveness.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Jayu Kim, Taehoon Lee, Cheol-Joong Kim, Kyongsu Yi
Summary: This paper presents a data-based model predictive control method for a semi-active suspension system. The method utilizes a continuous damping controller and a stiffness controller to improve ride comfort and reduce vehicle pitch motion. Gaussian process regression is also used to compensate for model parameter uncertainties. The algorithm has been verified through computer simulations and vehicle tests, demonstrating its effectiveness and robustness.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Kunpeng Zhang, Jikang Gao, Zongqi Xu, Hui Yang, Ming Jiang, Rui Liu
Summary: A improved dynamic programming model is proposed in this paper for joint operation optimization of virtual coupling of heavy-haul trains. By simultaneously optimizing the headway and energy savings, as well as performing locomotive engineering advisory analysis, significant improvements in train performance can be achieved.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Demian Garcia-Violini, Yerai Pena-Sanchez, Nicolas Faedo, Fernando Bianchi, John V. Ringwood
Summary: This study presents a model invalidation methodology for wave energy converters (WECs) that can effectively handle dynamic uncertainty and external noise. The results indicate that neglecting dynamic uncertainty can lead to overestimation of performance, highlighting the importance of accurate dynamic description for estimating control performance.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Shengyang Lu, Yue Jiang, Xiaojun Xu, Hanxiang Qian, Weijie Zhang
Summary: This paper proposes an adaptive heading tracking control strategy based on wheelbase changes for unmanned ground vehicles (UGVs) with variable configuration. The strategy adjusts the wheelbase according to different working conditions to optimize driving performance. The impact of changing wheelbase on sideslip angle and heading angle is analyzed, and a robust-active disturbance rejection control method is developed to achieve desired front-wheel steering angle. A torque distribution method based on tire load rate and real-time load is applied to enhance longitudinal stability.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Domenico Dona, Basilio Lenzo, Paolo Boscariol, Giulio Rosati
Summary: This paper proposes a new method for designing minimum energy trajectories for servo-actuated systems and demonstrates its accuracy and effectiveness through numerical comparisons and experimental validation.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Haolin Wang, Luyao Zhang, Yao Mao, Qiliang Bao
Summary: This paper proposes a method of transforming the core element of ADRC, ESO, into a novel fuzzy self-tuning observer structure to improve the stability of LOS in the electro-optical tracking system. It effectively solves the conflict between disturbance rejection ability and noise attenuation ability in traditional ESO.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Alejandro Toro-Ossaba, Juan C. Tejada, Santiago Rua, Juan David Nunez, Alejandro Pena
Summary: This work presents the development of a myoelectric Model Reference Adaptive Controller (MRAC) with an Adaptive Kalman Filter for controlling a cable driven soft elbow exoskeleton. The proposed MRAC controller is effective in both passive and active control modes, showing good adaptability and control capabilities.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Mehrad Jaloli, Marzia Cescon
Summary: This study presents an advanced multi-agent reinforcement learning (RL) strategy for personalized glucose regulation, which is shown to improve glucose regulation and reduce the risk of severe hyperglycemia compared to traditional therapy.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Yingming Tian, Kenan Du, Jianfeng Qu, Li Feng, Yi Chai
Summary: This paper investigates the control strategy for PMSM with position sensor fault in railway. A learning observer-based control strategy is proposed, which achieves high-precision estimation of electromotive force and accelerates speed response.
CONTROL ENGINEERING PRACTICE
(2024)