Article
Automation & Control Systems
Chuang Yang, Zhe Gao, Xuanang Li, Xiaomin Huang
Summary: This paper proposes two types of adaptive Kalman filters for estimating state information of continuous-time nonlinear fractional-order systems with unknown parameters and fractional-orders. The filters developed include an adaptive extended Kalman filter and an adaptive cubature Kalman filter, utilizing different mathematical techniques to handle nonlinearity.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Yue Miao, Zhe Gao, Chuang Yang
Summary: In this paper, the Gruwald-Letnikov method is used to discretize a continuous-time nonlinear fractional-order system with unknown parameters and fractional-order, and an adaptive fractional-order unscented Kalman filter is proposed. The unknown fractional-order and parameters are considered as augmented states and an augmented state equation is established to solve the problem. An adaptive fractional-order unscented Kalman filter is designed to improve the accuracy of state estimation and handle nonlinear functions using the unscented transformation. The proposed algorithm is verified using two simulation examples.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Energy & Fuels
Pablo Rodriguez-Iturriaga, Jorge Alonso-del-Valle, Salvador Rodriguez-Bolivar, David Ansean, Juan Carlos Viera, Juan Antonio Lopez-Villanueva
Summary: This article introduces a novel Dual Fractional-Order Extended Kalman Filter (DFOEKF) method based on the multiple-RC approximation for the simultaneous estimation of State of Charge (SOC) and all fractional parameters in batteries. Experimental validation demonstrates the performance and robustness of this method at different operation stages, yielding highly accurate estimation results both within and outside the driving cycle stage.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Yue Miao, Zhe Gao
Summary: This paper proposes a design method to improve the adaptive ability of lithium-ion batteries under different conditions and validates its effectiveness through experiments.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Analytical
Dominik Sierociuk, Michal Macias
Summary: This paper presents a method for states, parameters, and fractional order estimation using Fractional Unscented Kalman Filter. The proposed method can be seen as a convenient tool for estimating and analyzing various dynamical systems with fractional constants or variable order nature.
Article
Energy & Fuels
Oluwole Olalekan Solomon, Wei Zheng, Junxiong Chen, Zhu Qiao
Summary: This paper proposes an improved fractional-order extended Kalman filter (IFO-EKF) algorithm to accurately estimate the state of charge (SOC) of the battery. A simplified fractional-order model combining the advantages of the electrical equivalent circuit model and the electrochemical impedance spectroscopy is developed. The unknown parameters of the model are identified using a quantum particle swarm optimization algorithm. The convergence rate of the proposed algorithm is improved by introducing a fractional derivative and a time-varying measurement error covariance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Analytical
Michal Macias, Dominik Sierociuk, Wiktor Malesza
Summary: This paper aims to identify parameters of fractional order noises obtained from MEMS accelerometer and uses the Triple Estimation algorithm for analysis. The experimental results confirm the existence of fractional noise in the MEMS' noise.
Article
Energy & Fuels
Peng Yu, Shunli Wang, Chunmei Yu, Cong Jiang, Weihao Shi
Summary: The study proposed a fractional-order algorithm with time-varying parameters for accurate state of charge (SOC) estimation of lithium-ion batteries. By introducing a memory factor and adaptive noise factor, the algorithm achieved higher accuracy compared to the extended Kalman filter, with a maximum error of less than 2% in experimental results.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Multidisciplinary Sciences
Haoyu Chai, Zhe Gao, Yue Miao, Zhiyuan Jiao
Summary: This paper proposes an adaptive fractional-order cubature Kalman filter (AFCKF) method based on the fractional-order model (FOM) for state of charge (SOC) estimation of a lithium-ion battery (LIB). The FOM accurately represents the dynamic features of the LIB. The AFCKF algorithm achieves adaptive estimations of the coefficients in the measurement equation and estimates the state information online. The experimental findings demonstrate the effectiveness and accuracy of the proposed method.
ADVANCED THEORY AND SIMULATIONS
(2023)
Article
Engineering, Multidisciplinary
Liu YiWen, Shi Qin, Wei YuJiang, He ZeJia, Hu XiaoSong, He Lin
Summary: This paper proposes a square root cubature particle filter approach to estimate the state of charge of lithium-ion battery. By using a fractional order model and particle swarm optimization algorithm, the accuracy and computational efficiency of the estimation are improved. Experimental results demonstrate that the proposed approach has better accuracy and robustness.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Energy & Fuels
Yuanmao Ye, Zhenpeng Li, Jingxiong Lin, Xiaolin Wang
Summary: This paper proposes a new model-based SOC estimation method for lithium-ion batteries, which integrates parameter identification and state estimation into one closed-loop algorithm. The algorithm utilizes extended stochastic gradient algorithm and adaptive extended Kalman filter for parameter identification and state estimation respectively. Experimental results demonstrate the good performance of the proposed method in terms of estimation accuracy and robustness under different test conditions, making it more suitable for online SOC estimation of lithium-ion batteries.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Linchao Duan, Xugang Zhang, Zhigang Jiang, Qingshan Gong, Yan Wang, Xiuyi Ao
Summary: This paper proposes a second-order adaptive extended Kalman filter (AEKF) for accurately estimating the state of charge (SOC) of a lithium-ion battery. By analyzing the correlation between sliding window length (SWL) and algorithm errors, a reasonable SWL parameter value is obtained to ensure higher accuracy in SOC estimation when the working condition changes while keeping SWL unchanged. Experimental results demonstrate that the proposed second-order AEKF excels in terms of estimation accuracy and robustness.
Article
Engineering, Mechanical
Chuang Yang, Zhe Gao, Yue Miao, Tao Kan
Summary: Two types of fractional-order cubature Kalman filters were designed to address the initial value influence problem in state estimation of nonlinear continuous-time fractional-order systems. The proposed methods effectively reduce the impact of initial value on the state estimation, as demonstrated in simulation examples.
NONLINEAR DYNAMICS
(2021)
Article
Thermodynamics
Lin Chen, Wentao Yu, Guoyang Cheng, Jierui Wang
Summary: This paper focuses on the SOC estimation of lithium batteries using a fractional-order adaptive square-root cubature Kalman filter (FO-ASRCKF). A fractional-order model (FOM) of the battery is established using fractional-order derivative theory. An improved adaptive genetic algorithm is applied for accurate identification of the multi-parameter model. The proposed FO-ASRCKF algorithm based on FOM and adaptive rules outperforms other filters in terms of SOC estimation accuracy and robustness.
Article
Engineering, Chemical
Hui Zhang, Zichao Yang, Huiyuan Xiong, Taohong Zhu, Zhineng Long, Weibin Wu
Summary: Vehicle mass estimation is a crucial issue in autonomous vehicle control due to the nonlinearity of vehicle dynamics between states. This study proposes a transformer aided adaptive extended Kalman filter to improve the accuracy and stability of estimation. By introducing a transformer-based estimator and an adaptive law based on neural network training data, the proposed method achieves accurate and stable estimation. Simulation tests demonstrate the superior performance of the proposed method in terms of accuracy and stability.
Article
Computer Science, Information Systems
Lijuan Xiang, Xiaoyu Li, Jindong Tian, Yong Tian
Article
Energy & Fuels
Xiaoyu Li, Zuguang Zhang, Wenhui Wang, Yong Tian, Dong Li, Jindong Tian
Article
Chemistry, Physical
Guodong Fan
JOURNAL OF POWER SOURCES
(2020)
Article
Chemistry, Physical
Xiaoyu Li, Teng Long, Jindong Tian, Yong Tian
JOURNAL OF POWER SOURCES
(2020)
Article
Thermodynamics
Guodong Fan, Xiaoyu Li, Ruigang Zhang
Summary: This paper presents a robust estimator based on a reduced-order electrochemical model for accurate state-of-charge estimation of lithium ion batteries at different ambient temperatures. A global sensitivity analysis investigates the impact of temperatures on model performance, and a robust adaptive extended Kalman filter is designed to actively compensate potential model uncertainties. Results show the proposed algorithm's robustness against initial estimation errors, driving cycle inputs, and ambient temperatures, with extensive comparative analysis with a conventional extended Kalman filter.
Article
Electrochemistry
Dongliang Lu, M. Scott Trimboli, Guodong Fan, Ruigang Zhang, Gregory L. Plett
Summary: This paper discusses five methods to estimate the electrode OCP relationships for lithium-ion battery cells, utilizing a physics-based thermodynamic model to overcome data missing and inaccessible lithium issues. These methods are also applied to estimate the full-cell OCV function and determine the operating boundaries of the electrodes.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Electrochemistry
Dongliang Lu, M. Scott Trimboli, Guodong Fan, Ruigang Zhang, Gregory L. Plett
Summary: Battery-management systems rely on mathematical models to estimate battery states. Physics-based models offer advantages over empirical models, but determining parameter values can be challenging. This paper proposes a method to identify a subset of physics-based model parameter values without the need for cell teardown, making it accessible for battery labs and applications.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Energy & Fuels
Xiaoyu Li, Tengyuan Wang, Jiaxu Li, Yong Tian, Jindong Tian
Summary: A fusion model combining a physical model and a data-driven model was designed for estimating the energy consumption of electric buses. Taking into account the fluctuation in energy consumption caused by multiple factors, the model showed high accuracy with an average relative error of 6.1%. This fusion model provides a powerful tool for optimizing the energy consumption of electric buses, vehicle scheduling, and the rational layout of charging facilities.
Article
Energy & Fuels
Xiaoyu Li, Chuxin Wu, Chen Fu, Shanpu Zheng, Jindong Tian
Summary: This paper investigates the state characterization of lithium-ion batteries using ultrasonic guided wave scanning. By analyzing the propagation law and energy spectrum of signals, characteristic parameters for characterizing battery state are obtained. The method shows good consistency and provides a new approach for non-destructive testing and evaluation of battery states.
Article
Energy & Fuels
Guodong Fan, Xi Zhang
Summary: In this work, a new battery capacity estimation approach using relaxation voltage data is proposed. A correlation is identified between the relaxation voltage and battery capacity, and a convolutional neural network model is developed to estimate capacity for batteries with different degradation paths. The model shows high predictive power with a low average test error of 1.8%. The method also has the potential to work for batteries with different chemistries.
Article
Energy & Fuels
Yong Tian, Qianyuan Dong, Jindong Tian, Xiaoyu Li
Summary: This paper proposes a capacity estimation method using multiple small voltage sections and back propagation neural networks to reduce the requirement of the length of voltage segment for estimating the complete battery capacity. The proposed method selects the most possibly covered voltage segment and divides it into small sections. Then, sectional capacity and skewness of the voltage curve are extracted as health factors. Multiple back propagation neural networks are constructed to achieve capacity estimation based on each voltage section, and their weighted average is taken as the final result. The fusion estimation results in a root mean square error lower than 4.5% according to the experimental results.
Article
Chemistry, Physical
Guodong Fan, Dongliang Lu, M. Scott Trimboli, Gregory L. Plett, Chong Zhu, Xi Zhang
Summary: In this paper, a nondestructive aging diagnostics methodology is proposed to identify aging-related parameters of a physics-based battery model from the beginning-of-life (BOL) to end-of-life (EOL). The proposed method is applied and validated on 7 cells at 4 test conditions, considering different cycling conditions, cell-to-cell variations, and calendar aging. The results show that the degradation rates of the cells are impacted by different patterns in the changes of aging parameters and the method can capture subtle cell-to-cell variations in battery degradation.
JOURNAL OF POWER SOURCES
(2023)
Article
Engineering, Electrical & Electronic
Xiaoyu Li, Tengyuan Wang, Chuxin Wu, Jindong Tian, Yong Tian
Summary: This paper focuses on predicting the state of health and safety assessment of battery packs in electric vehicle technologies. By using battery system data collected on the electric vehicle data management platform, a state of health model is developed. The capacity increment in the same voltage range is used as an indicator of battery health, with a temperature correction coefficient added to improve modeling accuracy. A double exponential function is used to describe battery health decline, and model migration is applied for cases with limited data. Particle swarm optimization algorithm is used for parameter calibration, resulting in accurate battery pack SOH prediction.
WORLD ELECTRIC VEHICLE JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Xiaoyu Li, Wen Hua, Jindong Tian, Yong Tian
Summary: This study proposes a simplified multi-particle lithium-ion battery model to ensure the safety of electric vehicles and reduce the cycle life decay of the battery by considering heterogeneous electrochemical reactions in the negative electrode area. Experimental and simulation results show that the model has high accuracy and is suitable for fast-charging control applications.
WORLD ELECTRIC VEHICLE JOURNAL
(2021)
Article
Transportation Science & Technology
Zunyu Mei, Xiaogang Wu, Xiaoyu Li, Chunbo Zhu
INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES
(2018)
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)
