Article
Engineering, Mechanical
Xinghao Du, Jinhao Meng, Kailong Liu, Yingmin Zhang, Shunli Wang, Jichang Peng, Tianqi Liu
Summary: This paper proposes a co-estimation framework utilizing the advantages of both recursive least squares (RLS) and recursive total least squares (RTLS) for a higher parameter identification performance of the battery equivalent circuit model (ECM). RLS quickly converges by updating the parameters along the gradient of the cost function, while RTLS is applied to attenuate the noise effect once the parameters have converged. Both simulation and experimental results show that the proposed method has good accuracy, a fast convergence rate, and robustness against noise corruption.
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2023)
Article
Automation & Control Systems
Ruohan Guo, Weixiang Shen
Summary: This article proposes an IA-MAFF-RLS method to identify model parameters of lithium-ion batteries in electric vehicles. The method utilizes information analysis and adaptive strategies to accurately identify the parameters and avoid accuracy loss in model transformation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Balakumar Balasingam, Krishna R. Pattipati
Summary: This article analyzes the performance of real-time identification of electrical equivalent circuit models (ECMs) and proposes a parameter estimation approach based on the RLS method, which achieves unbiased and efficient ECM identification under low signal-to-noise ratio.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Automation & Control Systems
Xinghao Du, Jinhao Meng, Yingmin Zhang, Xinrong Huang, Shunliang Wang, Ping Liu, Tianqi Liu
Summary: This article proposes a reliable online parameter identification method for battery ECM, which utilizes a well-designed information appraisal procedure based on the Fisher-information-based Cramer-Rao lower bound (CRLB). The method achieves online parameter updating through a comprehensive appraisal indicator derived recursively from CRLB. The simulation and experimental results confirm the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Hung Yu Pai, Yi Hua Liu, Song Pei Ye
Summary: To ensure the effective operation of the battery management system (BMS), accurate determination of the equivalent circuit model (ECM) and state of charge (SOC) parameters is crucial. The decoupled recursive least squares (DRLS) technique and time-domain parameter extraction (TDPE) methods are effective in improving accuracy and estimation speed. This study proposes a parameter identification technique that combines TDPE and DRLS, simplifying the method and enhancing estimation accuracy.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Mouncef El Marghichi, Azeddine Loulijat, Issam El Hantati
Summary: This article proposes a battery parameter update method based on the variable recursive least squares algorithm to improve the accuracy of battery state-of-charge estimation. Comparisons with other methods reveal that the VRLS algorithm outperforms others in terms of predictive performance indicators.
ELECTRICAL ENGINEERING
(2023)
Article
Energy & Fuels
Enrico Dalla Maria, Mattia Dallapiccola, Davide Aloisio, Giovanni Brunaccini, Francesco Sergi, David Moser, Grazia Barchi
Summary: This paper presents a novel data-driven parameter estimation procedure for high-current battery modelling, which has been applied to experimental measurement data conducted on Lithium Titanate batteries. The proposed methodology encompasses the entire process of parameter estimation, starting from raw experimental data. The validation results confirmed that the proposed approach had good modelling performance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Heng Miao, Jiajun Chen, Ling Mao, Keqing Qu, Jinbin Zhao, Yongjie Zhu
Summary: Voltage noise is the main cause of parameter deviation in battery model identification. The AM-RLS method successfully compensates for the parameter deviation caused by voltage noise, leading to improved SOC estimation accuracy.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Automation & Control Systems
Haibo Liu, Junwei Wang, Yan Ji
Summary: This paper presents a maximum likelihood recursive generalized extended least squares (ML-RLS) algorithm for parameter estimation in a bilinear-parameter system. The algorithm is based on the over-parameterization identification model and shows higher estimation accuracy compared to the recursive least squares algorithm, as demonstrated by simulation tests.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Energy & Fuels
Na Shi, Zewang Chen, Mu Niu, Zhijia He, Youren Wang, Jiang Cui
Summary: This paper proposes an SOC estimation method for lithium-ion batteries based on adaptive extended Kalman filter. By improving parameter identification and adaptively adjusting the forgetting factor, the accurate estimation of SOC is achieved.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Mechanical
Jose Jimenez-Gonzalez, Felipe Gonzalez-Montanez, Victor Manuel Jimenez-Mondragon, Jesus Ulises Liceaga-Castro, Rafael Escarela-Perez, Juan Carlos Olivares-Galvan
Summary: This article presents a method for parameter identification of a brushless DC motor based on direct recognition of three-phase line-to-line voltage as a function of current and rotor speed. The estimation process is divided into electrical parameter estimation and mechanical parameter estimation stages. The proposed approach is validated by comparing model responses to real-time motor responses, and successfully designing, digitally simulating, and implementing a PI rotor speed controller based on the estimated model.
Article
Computer Science, Information Systems
Mohammed J. Khafaji, Maciej Krasicki
Summary: This paper examines a recently developed adaptive channel equalizer driven by a Uni-Cycle Genetic Algorithm (UCGA). The authors compare UCGA against the Recursive Least Squares (RLS) algorithm in terms of Bit Error Rate (BER) vs. Signal to Noise Ratio (SNR) performance and convergence rate of the equalizer. The results show a reasonable performance gain of UCGA over RLS for most wireless channel models studied, and UCGA is also capable of improving the convergence of the equalizer. Therefore, it can be considered a promising candidate for future adaptive wireless channel equalizers.
Article
Electrochemistry
Hyeonwoo Cho, Changbeom Hong, Daeki Hong, Se-Kyu Oh, Yeonsoo Kim
Summary: The equivalent circuit model (ECM) is integrated with an energy balance model to accurately calculate the terminal voltage and temperature of high-capacity Li-ion batteries used in hybrid electric and electric vehicles. Improved model structures and parameter estimation strategies are proposed to effectively characterize these batteries. Experimental data and the genetic algorithm (GA) are used to estimate ECM parameters, with a validation showing calculation errors of less than 1.71% and 3.51% for voltage and temperature, respectively.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Engineering, Electrical & Electronic
Hongyu Pan, Xueyuan Wang, Luning Zhang, Rong Wang, Haifeng Dai, Xuezhe Wei
Summary: This article highlights the significance of battery models in explaining internal processes and estimating states, and presents an equivalent circuit model for non-steady state conditions. The article discusses the impact of nonstationary conditions on impedance and proposes methods for online adaptive adjustment of model parameters. Experimental results demonstrate the effectiveness of the model and parameter identification method in accurately acquiring online impedance.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Automation & Control Systems
Zhongbao Wei, Hongwen He, Josep Pou, Kwok-Leung Tsui, Zhongyi Quan, Yunwei Li
Summary: The article focuses on noise effect compensation and online parameter identification for the widely used equivalent circuit model of lithium-ion batteries. A novel degree of freedom (DOF) eliminator is proposed to coestimate noise statistics and unbiased model parameters in a recursive fashion. The proposed method effectively mitigates noise-induced biases and outperforms existing methods in terms of accuracy and robustness to noise corruption.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Physical
Tianyu Chen, Zhibin Lu, Guangjin Zeng, Yongmin Xie, Jie Xiao, Zhifeng Xu
Summary: The study introduces a high-performance LSGM electrolyte-supported tubular DC-SOFC stack for portable applications, which shows great potential in developing into high-performing, efficient, and environmentally friendly portable power sources for distributed applications.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Wenbin Tong, Yili Chen, Shijie Gong, Shaokun Zhu, Jie Tian, Jiaqian Qin, Wenyong Chen, Shuanghong Chen
Summary: In this study, a three-dimensional porous NiO interface layer with enhanced anode dynamics is fabricated, forming a Schottky contact with the zinc substrate, allowing rapid and uniform zinc plating both inside and below the interface layer. The resulting NiO@Zn exhibits exceptional stability and high capacity retention.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yafeng Bai, Kaidi Li, Liying Wang, Yang Gao, Xuesong Li, Xijia Yang, Wei Lu
Summary: In this study, a flexible zinc ion supercapacitor with gel electrolytes, porous alpha-MnO2@reduced graphene oxide cathode, and activated carbon/carbon cloth anode was developed. The device exhibits excellent electrochemical performance and stability, even at low temperatures, with a high cycle retention rate after 5000 cycles.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Anmol Jnawali, Matt D. R. Kok, Francesco Iacoviello, Daniel J. L. Brett, Paul R. Shearing
Summary: This article presents the results of a systematic study on the electrochemical performance and mechanical changes in two types of commercial batteries with different anode chemistry. The study reveals that the swelling of anode layers in batteries with silicon-based components causes deformations in the jelly roll structure, but the presence of a small percentage of silicon does not significantly impact the cycling performance of the cells within the relevant state-of-health range for electric vehicles (EVs). The research suggests that there is room for improving the cell capacities by increasing the silicon loading in composite anodes to meet the increasing demands on EVs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yohandys A. Zulueta, My Phuong Pham-Ho, Minh Tho Nguyen
Summary: Advanced atomistic simulations were used to study ion transport in the Na- and K-doped lithium disilicate Li2Si2O5. The results showed that Na and K doping significantly enhanced Li ion diffusion and conduction in the material.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Zongying Han, Hui Dong, Yanru Yang, Hao Yu, Zhibin Yang
Summary: An efficient phase inversion-impregnation approach is developed to fabricate BaO-decorated Ni8 mol% YSZ anode-supported tubular solid oxide fuel cells (SOFCs) with anti-coking properties. BaO nanoislands are successfully introduced inside the Ni-YSZ anode, leading to higher peak power densities and improved stability in methane fuel. Density functional theory calculations suggest that the loading of BaO nanoislands facilitates carbon elimination by capturing and dissociating H2O molecules to generate OH.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Suresh Mamidi, Dan Na, Baeksang Yoon, Henu Sharma, Anil D. Pathak, Kisor Kumar Sahu, Dae Young Lee, Cheul-Ro Lee, Inseok Seo
Summary: Li-CO2 batteries, which utilize CO2 and have a high energy density, are hindered in practical applications due to slow kinetics and safety hazards. This study introduces a stable and highly conductive ceramic-based solid electrolyte and a metal-organic framework catalyst to improve the safety and performance of Li-CO2 batteries. The optimized Li-CO2 cell shows outstanding specific capacity and cycle life, and the post-cycling analysis reveals the degradation mechanism of the electrodes. First-principles calculations based on density functional theory are also performed to understand the interactions between the catalyst and the host electrode. This research demonstrates the potential of MOF cathode catalyst for stable operation in Li-CO2 batteries.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Ganghua Xiang, Zhihuan Qiu, Huilong Fei, Zhigang Liu, Shuangfeng Yin, Yuen Wu
Summary: In this study, a CeFeOx-supported Pt single atoms and subnanometric clusters catalyst was developed, which exhibits enhanced catalytic activity and stability for the preferential oxidation of CO in H2-rich stream through synergistic effect.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Dimitrios Chatzogiannakis, Marcus Fehse, Maria Angeles Cabanero, Natalia Romano, Ashley Black, Damien Saurel, M. Rosa Palacin, Montse Casas-Cabanas
Summary: By coupling electrochemical testing to operando synchrotron based X-ray absorption and powder diffraction experiments, blended positive electrodes consisting of LiMn2O4 spinel (LMO) and layered LiNi0.5Mn0.3Co0.2O2 (NMC) were studied to understand their redox mechanism. It was found that blending NMC with LMO can enhance energy density at high rates, with the blend containing 25% LMO showing the best performance. Testing with a special electrochemical setup revealed that the effective current load on each blend component can vary significantly from the nominal rate and also changes with SoC. Operando studies allowed monitoring of the oxidation state evolution and changes in crystal structure, in line with the expected behavior of individual components considering their electrochemical current loads.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Chiara Cementon, Daniel Dewar, Thrinathreddy Ramireddy, Michael Brennan, Alexey M. Glushenkov
Summary: This Perspective discusses the specific power and power density of lithium-ion capacitors, highlighting the fact that their power characteristics are often underestimated. Through analysis, it is found that lithium-ion capacitors can usually achieve power densities superior to electrochemical supercapacitors, making them excellent alternatives to supercapacitors.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Weihao Wang, Hao Yu, Li Ma, Youquan Zhang, Yuejiao Chen, Libao Chen, Guichao Kuang, Liangjun Zhou, Weifeng Wei
Summary: This study achieved an improved electrolyte with excellent low-temperature and high-voltage performance by regulating the Li+ solvation structure and highly concentrating it. The electrolyte exhibited outstanding oxidation potential and high ionic conductivity under low temperature and high voltage conditions, providing a promising approach for the practical application of high-voltage LIBs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Martin Bures, Dan Gotz, Jiri Charvat, Milos Svoboda, Jaromir Pocedic, Juraj Kosek, Alexandr Zubov, Petr Mazur
Summary: Vanadium redox flow battery is a promising energy storage solution with long-term durability, non-flammability, and high overall efficiency. Researchers have developed a mathematical model to simulate the charge-discharge cycling of the battery, and found that hydraulic connection of electrolyte tanks is the most effective strategy to reduce capacity losses, achieving a 69% reduction.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
M. Rodriguez-Gomez, J. Campo, A. Orera, F. de La Fuente, J. Valenciano, H. Fricke, D. S. Hussey, Y. Chen, D. Yu, K. An, A. Larrea
Summary: In this study, we analysed the operando performance of industrial lead cells using neutron diffraction experiments. The experiments revealed the evolution of different phases in the positive electrode, showed significant inhomogeneity of phase distribution inside the electrode, and estimated the energy efficiency of the cells.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Jiawei Liu, Chenpeng Wang, Yue Yao, Hao Ye, Yinglong Liu, Yingli Liu, Xiaoru Xu, Zhicong Chen, Huazheng Yang, Gang Wu, Libin Lei, Chao Wang, Bo Liang
Summary: The study focuses on utilizing double conductive Ni-pads as anode collectors in micro-tubular solid oxide fuel cells. The simulation results show excellent performance and stability of DCNPs, and also highlight the potential applications in various fields.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yang Wang, Kangjie Zhou, Lang Cui, Jiabing Mei, Shengnan Li, Le Li, Wei Fan, Longsheng Zhang, Tianxi Liu
Summary: This study presents a polyimide sandwiched separator (s-PIF) for improving the cycling stability of Li-metal batteries. The s-PIF separator exhibits superior mechanical property, electrolyte adsorption/retention and ion conductivity, and enables dendrite-free Li plating/stripping process.
JOURNAL OF POWER SOURCES
(2024)