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
Thermodynamics
Cong Jiang, Shunli Wang, Bin Wu, Carlos Fernandez, Xin Xiong, James Coffie-Ken
Summary: An adaptive square root extended Kalman filter combined with Thevenin equivalent circuit model was proposed in this study to address filtering divergence caused by computer rounding errors in power lithium-ion battery state-of-charge estimation. The algorithm achieved robust and accurate SOC estimation results using the Sage-Husa adaptive filter and square root decomposition of the covariance matrix. Additionally, a multi-scale dual Kalman filter algorithm and a forgetting factor recursive least-square method were utilized for joint estimation of SOC and capacity, and parameter identification, respectively.
Article
Engineering, Mechanical
Jia Ye, Zhifei Zhang, Jie Jin, Ruiqi Su, Bo Huang
Summary: The tire-road friction coefficient is crucial for vehicle safety systems. Existing methods have limited accuracy, while the proposed estimation method improves accuracy by adaptively adjusting tire stiffness and accurately identifies tire damage.
NONLINEAR DYNAMICS
(2023)
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
Energy & Fuels
Qiuyu Ding, Yujie Wang, Zonghai Chen
Summary: This study utilizes reduced-order electrochemical models for parameter identification and real-time state estimation in battery management systems, achieving state estimation through square-root cubature Kalman filter. The results demonstrate high accuracy and reduced computational burden of the reduced-order model.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Peng Guo, Wentao Ma, Dele Yi, Xinghua Liu, Xiaofei Wang, Lujuan Dang
Summary: This paper proposes a novel robust state estimation method that enhances the robustness of the square-root cubature Kalman filter by incorporating a mixture correntropy loss. The method overcomes the issue of non-Gaussian measurement noise interference and achieves high estimation accuracy in different cases.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Liping Chen, Xiaobo Wu, Antonio M. Lopes, Lisheng Yin, Penghua Li
Summary: This paper proposes an SOC estimation method for lithium-ion batteries using a particle swarm optimization algorithm and an unscented Kalman filter, showing good accuracy and robustness under various operational conditions.
Article
Energy & Fuels
Haoyu Chai, Zhe Gao, Zhiyuan Jiao, Chuang Yang
Summary: An adaptive fractional-order cubature Kalman filter with initial value compensation is proposed to estimate the state of charge (SOC) of a lithium-ion battery. Firstly, a fractional-order battery model is built and the state equation is discretized. Then, the initial values of the states are considered as augmented states to be estimated, and an augmented state equation is established. Finally, linear Kalman filter and cubature Kalman filter are designed to estimate the coefficients in the measurement equation and the real-time SOC, model parameters, and orders.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Zhenglu Shi, Jiazhu Xu, Min Wu, Linjun Zeng, Huizhen Zhang, Yang He, Chao Liu
Summary: The accuracy estimation of state-of-charge (SoC) is crucial for battery management system to ensure safe operation. A improved cubature Kalman filter method is introduced to enhance the precision and dependability of SoC estimation by reducing noise. The method includes constructing equivalent circuit model, identifying battery model parameters with adaptive forgetting factor bias compensation recursive least squares, and proposing an improved adaptive square root cubature Kalman filter (IASRCKF) for SoC estimation. Simulation results show that the proposed method significantly decreases the estimation error, with RMSE and MAE of 0.18% and 0.15% respectively. Compared to the ASRCKF approach, the RMSE and MAE can be reduced by 40% and 44.4% respectively. Robustness analyses demonstrate exceptional estimation capabilities under different conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Mathematics, Applied
Maria Kulikova, Gennady Yu Kulikov
Summary: This paper explores the design of accurate nonlinear Bayesian filters and proposes a numerical method for solving mean and error covariance of dynamic state. The key idea is to use methods with discretization error control to ensure accurate implementation of the filters' moment differential equations. The new method, tested on various application examples including stiff systems, utilizes a numerically stable square-root approach within singular value decomposition for a hybrid filter.
APPLIED NUMERICAL MATHEMATICS
(2022)
Article
Engineering, Electrical & Electronic
Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra
Summary: This paper proposes an adaptive algorithm for simultaneous estimation of harmonic/interharmonic characteristics and noise parameters of a signal. The algorithm utilizes a two-stage model, where the first step obtains harmonic frequencies using Root-MUSIC method and the second step employs ASSTSCKF method to obtain signal parameters. Compliance tests were performed in the presence of noise, and the results show that the algorithm achieves high accuracy.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Chih-Hsu Huang, Peng-Hsiang Wang, Ming-Shaung Ju, Chou-Ching K. Lin
Summary: In this study, a parameter ratio derived from CSCKF was formulated to quantify the excitability of the neural network and compared with three commonly used indicators. The results showed that CSCKF had the potential to accurately reflect the neural network excitability and quantify the severity of epileptiform discharges in EEG with a preserved DC component.
Article
Thermodynamics
Kangqun Li, Fei Zhou, Xing Chen, Wen Yang, Junjie Shen, Zebin Song
Summary: This study proposes an improved adaptive cubature Kalman filter algorithm for estimating the state of charge of lithium-ion batteries. By using an electro-thermal model and QR decomposition, the accuracy of the SOC estimation is enhanced. Experimental results under different working conditions and temperatures validate the stability and accuracy of the algorithm.
Article
Energy & Fuels
Haotian Shi, Shunli Wang, Carlos Fernandez, Junhan Huang, Wenhua Xu, Liping Wang
Summary: In this paper, a hysteresis-compensated electrical characteristic model and an autoregressive exogenous model are proposed for the tracking and identification of battery terminal voltage. A novel method for state-of-charge estimation based on an adaptive moving window-square root unscented Kalman filter is also constructed. Experimental results show that the proposed method can effectively limit the error in SOC calculation.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Chemistry, Physical
Zili Zhang, Jing Chen, Yawen Mao, Cuicui Liao
Summary: In this paper, a square root cubature Kalman filter based multi-innovation least square (SRCKF-MILS) algorithm is proposed for state of charge (SOC) estimation of batteries. The algorithm utilizes a second-order resistor-capacitor (RC) equivalent circuit model, and employs multi-innovation least square estimation and square root cubature Kalman filter to estimate the battery model parameters and SOC. The strong tracking filtering (STF) theory is introduced to adaptively adjust the gain matrix due to outliers present in the state vector, enhancing the robustness of the algorithm. Simulation examples demonstrate the effectiveness of the proposed algorithms.
Article
Chemistry, Physical
Yibo Ma, Kai Wang, Yanan Xu, Xudong Zhang, Qifan Peng, Shani Li, Xiong Zhang, Xianzhong Sun, Yanwei Ma
Summary: This study presents a facile method to prepare graphene-wrapped carbon cages as a fast and large-capacity anode for lithium-ion capacitors (LICs). The carbon cages with abundant mesopores and the 2D graphene as a conducting bridge contribute to the high performance of the LIC pouch-cell. This research opens up a unique avenue for designing high-performance LICs.
Article
Chemistry, Physical
Shuang Song, Xiong Zhang, Yabin An, Tao Hu, Congkai Sun, Lei Wang, Chen Li, Xiaohu Zhang, Kai Wang, Zhichuan J. Xu, Xianzhong Sun, Yanwei Ma
Summary: This paper evaluates the lifetime of lithium-ion capacitors (LIC) by studying the floating aging mechanism under different voltages from both non-destructive and destructive perspectives. By conducting accelerated aging tests in high temperature climate chambers, with floating voltages set at 2.2, 3, and 3.8 V, the authors explore the aging mechanism using an impedance model with high fitting degree. Analysis is performed on brand-new and aged cells to verify the aging mechanism predicted by the impedance model. The findings show that the degradation behavior varies with different floating voltages, and medium voltage region performs well in calendar aging, contributing to the reliability of LIC storage. Recommendations are provided for non-destructive methods, which can benefit future lifespan research using impedance models.
JOURNAL OF POWER SOURCES
(2023)
Article
Electrochemistry
Xiaohu Zhang, Keliang Zhang, Weike Zhang, Xiong Zhang, Lei Wang, Yabin An, Xianzhong Sun, Chen Li, Kai Wang, Yanwei Ma
Summary: Lithium-ion capacitors (LICs) have high-power density, long-term cycling stability, and good energy storage performance, making them widely applicable in new energy, new infrastructure, intelligent manufacturing, and other fields. Carbon nano-onions (CNOs) are promising candidates in energy storage due to their excellent electrical conductivity, large surface area, and nanoscopic dimensions. This study characterized the structure, composition, and electrochemical properties of Ni@CNOs and demonstrated their effectiveness in achieving high-performance LICs with compelling electrochemical performance, cycle stability, and high energy density.
Review
Electrochemistry
Zhang Guo, Zhien Liu, Wan Chen, Xianzhong Sun, Xiong Zhang, Kai Wang, Yanwei Ma
Summary: The lithium-ion battery (LIB) is widely used as an electrochemical energy storage device due to its high energy density. However, it suffers from poor power performance and cycle performance. These issues can be addressed by incorporating capacitor material into the cathode, resulting in a lithium-ion battery capacitor (LIBC). This review presents the typical structure and working principle of LIBCs and summarizes recent advancements in this field, including non-lithiated and pre-lithiated anode materials, pre-lithiation methods, capacitor materials, suitable separator materials, and electrode engineering for improved electrochemical performance. Future research directions for advanced LIBCs are also discussed based on the existing problems.
Article
Electrochemistry
Xianzhong Sun, Yabin An, Xiong Zhang, Kai Wang, Changzhou Yuan, Xiaohu Zhang, Chen Li, Yanan Xu, Yanwei Ma
Summary: The practical lithium-ion capacitor consists of a capacitive cathode and a battery-type anode. The overcharge behaviors of the cathode in nonaqueous Li-ion electrolytes were independently investigated. The formation of a dense passivation film in propylene carbonate electrolytes can effectively prevent volume expansion and explosion risks under overcharging conditions.
Article
Chemistry, Physical
Yanan Xu, Kai Wang, Xudong Zhang, Yibo Ma, Qifan Peng, Yue Gong, Sha Yi, Hua Guo, Xiong Zhang, Xianzhong Sun, Hongcai Gao, Sen Xin, Yu-Guo Guo, Yanwei Ma
Summary: A 10-nm polydopamine coating on the residue-removed garnet surface is shown to stabilize the modified garnet filler and prevent the generation of alkaline residues, allowing PVDF to remain intact. Metal-nitrogen bonding between the La atoms of garnet and the amino groups of polydopamine promotes stronger adsorption of Li ions, enabling an efficient ion-percolation network for Li-ion conduction through the garnet-polydopamine interface. The composite electrolyte demonstrates an effective room-temperature Li+ conductivity of 1.52 x 10(-4) S cm(-1) and a high cutoff voltage of up to 4.7 V versus Li+/Li to support stable operation of all-solid-state Li-LiCoO2 batteries.
ADVANCED ENERGY MATERIALS
(2023)
Article
Engineering, Environmental
Lei Wang, Xiong Zhang, Chen Li, Yanan Xu, Yabin An, Wenjie Liu, Tao Hu, Sha Yi, Kai Wang, Xianzhong Sun, Yue Gong, Zhong-Shuai Wu, Yanwei Ma
Summary: By introducing Nb vacancies in T-Nb2O5 nanoparticles via amine-assisted oxidative etching of Nb2CTx MXene, we provide extra storage sites and improve structural flexibility by introducing cationic defects. The resulting T-Nb2O5/rGO hybrid anode exhibits rapid and stable multi-electron transfer lithium storage. The T-Nb2O5/rGO anode shows superior rate capacity and cycling stability, achieving high energy density, power density, and capacity retention.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Wenpin Wei, Lei Wang, Chu Liang, Wenjie Liu, Chen Li, Yabin An, Lixing Zhang, Xianzhong Sun, Kai Wang, Haitao Zhang, Xiong Zhang, Yanwei Ma
Summary: This study investigates the feasibility of using cobalt selenide as an anode material in lithium-ion capacitors and successfully designs a heterostructure with nitrogen-doped graphene to stabilize the electrode structure. The experimental results show that the electrode exhibits excellent cycle performance and rate performance, and the assembled lithium-ion capacitors also have high energy/power density and exceptional long-term stability.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Chen Li, Yabin An, Lei Wang, Kai Wang, Xianzhong Sun, Fangyuan Su, Xiong Zhang, Yanwei Ma
Summary: This study employed first-principles calculations to elucidate the potassiation reaction pathways and phase transformation mechanisms in SnS2, and predicted its high theoretical capacity. The findings provide important guidance for the architectural evolution and potassium storage chemistry in TMDs.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Review
Nanoscience & Nanotechnology
Sha Yi, Lei Wang, Xiong Zhang, Chen Li, Yanan Xu, Kai Wang, Xianzhong Sun, Yanwei Ma
Summary: MXene materials have unique advantages, such as their two-dimensional layered structure, high density, metal-like conductivity, fast ion intercalation, tunable surface terminal groups, and good mechanical flexibilities, making them a competitive candidate for electrochemical energy storage, especially in the field of supercapacitors. However, the restacking of MXene nanosheets hinders their electrochemical performance. To address this issue, MXene-based nanocomposite electrode materials have been developed by incorporating conventional active capacitive materials, showing remarkable electrochemical performance. This review summarizes the etching strategies of MXenes, selection of intercalants, charge storage mechanism, preparation strategies, applications, advantages, and challenges of MXene-based nanocomposites in supercapacitors.
Review
Electrochemistry
Yuanfei Wang, Keliang Zhang, Jijun Feng, Xianzhong Sun, Chen Li, Kai Wang, Xiong Zhang, Yanwei Ma
Summary: This article briefly introduces the principle and structural design of supercapacitive swing adsorption (SSA), and analyzes the factors influencing SSA performance from multiple aspects, with emphasis on electrode materials. This method can be used for carbon dioxide adsorption, which is of great significance for addressing global climate issues.
BATTERIES & SUPERCAPS
(2023)
Article
Energy & Fuels
M. Ahmadifar, K. Benfriha, M. Shirinbayan, A. Aoussat, J. Fitoussi
Summary: This study investigates the impact of innovative polymer-metal interface treatment on the reliability and robustness of hydrogen storage technology. A scaled-down demonstrator was fabricated using rotomolding to examine the mechanical characteristics, damage, and fatigue behaviors of the metal-polymer interface. The findings reveal that sandblasting treatment enhances the resilience of the interface.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
A. A. Kandil, Mohamed M. Awad, Gamal I. Sultan, Mohamed S. Salem
Summary: This paper proposes a novel hybrid system that splits solar radiation into visible and thermal components using a beam splitter and integrates a phase change material (PCM) packed bed with a PV cell. Experimental and theoretical analyses show that the hybrid configuration significantly increases the net power output of the system compared to using a PV system alone.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jinchao Li, Ya Xiao, Shiqiang Lu
Summary: The combination of energy storage and microgrids is crucial in addressing the uncertainty of distributed wind and solar resources. This article proposes a multi microgrid interaction system with electric-hydrogen hybrid energy storage, which optimizes the system's capacity configuration to improve its economy and reliability.
JOURNAL OF ENERGY STORAGE
(2024)
Review
Energy & Fuels
Shri Hari S. Pai, Sarvesh Kumar Pandey, E. James Jebaseelan Samuel, Jin Uk Jang, Arpan Kumar Nayak, HyukSu Han
Summary: This review discusses the structure-property relationship of nickel oxide nanostructures as excellent supercapacitive materials and provides an overview of various preparation methods and strategies to enhance specific capacitance. It comprehensively analyzes the current status, challenges, and future prospects of nickel oxide electrode materials for energy storage devices.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Xiaowei Wu, Xin Dong, Ziqin Liu, Xinyi Wang, Pu Hu, Chaoqun Shang
Summary: The growth of Li dendrites in lithium metal batteries is effectively controlled by constructing a three-dimensional framework on the surface of Li using Ni(OH)2 nanosheets modified Prussian blue tubes. This method provides a homogenous Li+ flux and sufficient space to accommodate the volume change of Li, resulting in suppressed dendrite growth and improved cycling performance.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Yan-Jie Liao, Yi-Yen Hsieh, Yi-Chun Yang, Hsing-Yu Tuan
Summary: We present two-dimensional AgInP2Se6 (AIPSe) bimetallic phosphorus trichalcogenides nanosheets as anodes for advanced alkali metal ion batteries (AMIBs). The introduction of bimetallic components enhances the electronic/ionic conductivity and optimizes the redox dynamics, resulting in superior electrochemical performance. The AIPSe@G anodes achieve high specific capacity, excellent cycle stability, and rate capability in both lithium-ion (LIBs) and potassium-ion batteries (PIBs). The comprehensive full cell tests further demonstrate the stability of AIPSe@G anodes under diverse current regimes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Chenghu Wu, Weiwei Li, Tong Qian, Xuehua Xie, Jian Wang, Wenhu Tang, Xianfu Gong
Summary: In the context of increasing global environmental pollution and constant increase of carbon emission, hydrogen production from surplus renewable energy and hydrogen transportation using existing natural gas pipelines are effective means to mitigate renewable energy fluctuation, build a decarbonized gas network, and achieve the goal of carbon peak and carbon neutral in China. This paper proposes a quasi-steady-state modeling method of a hydrogen blended integrated electricity-gas system (HBIEGS) considering gas linepack and a sequential second-order cone programming (S-SOCP) method to solve the developed model. The results show that the proposed method improves computational efficiency by 91% compared with a general nonlinear solver.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jingcen Zhang, Zhi Guo, Yazheng Zhu, Haifeng Zhang, Mengjie Yan, Dong Liu, Junjie Hao
Summary: In this study, a new type of sensible heat storage material was prepared using low-cost steel slag as the main component, providing an effective way of recycling steel slag. By analyzing the effects of different pretreatment steel slag content and sintering temperatures on the organization and properties of heat storage materials, the study found that the steel slag heat storage material exhibited excellent performance and stability under certain conditions.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
D. Carrillo-Pena, G. Pelaz, R. Mateos, A. Escapa
Summary: Methanogenic biocathodes have the potential to convert CO2 and electricity into methane, making them suitable for long-term electrical energy storage. They can also function as biological supercapacitors for short-term energy storage, although this aspect has received less attention. In this study, carbon-felt-based MB modified with graphene oxide were investigated for their electrical charge storage capabilities. Results showed that the potential of the electrode during discharging plays a significant role in determining the charge storage capacity.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Marco Gambini, Federica Guarnaccia, Michele Manno, Michela Vellini
Summary: This paper presents an analytical assessment of the energy-power relationship for different material-based hydrogen storage systems. It explores the impact of power demand on the amount of discharged hydrogen and the utilization factor. The results show that metal hydrides have higher specific power compared to liquid organic hydrogen carriers. The study provides insights into the discharge duration and energy utilization of hydrogen storage systems.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Shujahadeen B. Aziz, Rebar T. Abdulwahid, Pshko A. Mohammed, Srood O. Rashid, Ari A. Abdalrahman, Wrya O. Karim, Bandar A. Al-Asbahi, Abdullah A. A. Ahmed, M. F. Z. Kadir
Summary: This study investigates a novel biodegradable green polymer electrolyte for energy storage. Results show that the sample with added glycerol has the highest conductivity. The primary conduction species in the electrolyte are ions. Testing confirms that the sample can withstand a voltage suitable for practical applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Binit Kumar, Abhishek Awasthi, C. Suresh, Yongseok Jeon
Summary: This study presents a new numerical model for effective thermal conductivity that overcomes the limitations of previous models. The model can be applied to various shapes and phase change materials, using the same constants. By incorporating the natural convection effect, the model accurately calculates the thermal conductivity. The results of the study demonstrate the effectiveness of the model for different shapes and a wide range of alkanes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Supak Pattaweepaiboon, Wisit Hirunpinyopas, Pawin Iamprasertkun, Katechanok Pimphor, Supacharee Roddecha, Dirayanti Dirayanti, Adisak Boonchun, Weekit Sirisaksoontorn
Summary: In this study, electrode powder from spent zinc-carbon/alkaline batteries was upcycled into LiMn2O4 cathode and carbon anode for rechargeable lithium-ion batteries. The results show that the upcycled LiMn2O4 exhibits improved electrochemical performance, with higher discharge capacity compared to pristine LiMn2O4. Additionally, the recovered carbon materials show superior cycling performance. This research provides great potential for upcycling waste battery electrodes to high-value cathode and anode materials for lithium-ion battery applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Pan Yang, H. D. Yang, X. B. Meng, C. R. Song, T. L. He, J. Y. Cai, Y. Y. Xie, K. K. Xu
Summary: This paper introduces a novel multi-task learning data-driven model called GBLS Booster for accurately assessing the state of health (SOH) and remaining useful life (RUL) of lithium batteries. The model combines the strengths of GBLS and the CNN-Transformers algorithm-based Booster, and the Tree-structured Parzen Estimator (TPE) algorithm is used for optimization. The study devises 10 healthy indicators (HIs) derived from readily available sensor data to capture variations in battery SOH. The random forest method (RF) is employed for feature refinement and data dimension reduction, while the complete empirical mode decomposition (CEEMDAN) method and the Pearson correlation coefficient are used for noise reduction and data point elimination in RUL prediction. The proposed model demonstrates exceptional accuracy, robustness, and generalization capabilities.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
M. Arrinda, M. Oyarbide, L. Lizaso, U. Osa, H. Macicior, H. J. Grande
Summary: This paper proposes a robust aging model generation methodology for lithium-ion batteries with any kind of lab-level aging data availability. The methodology involves four phases and ensures the robustness of the aging model through a verification process.
JOURNAL OF ENERGY STORAGE
(2024)