Article
Energy & Fuels
S. Siva Suriya Narayanan, S. Thangavel
Summary: This paper proposes a machine learning-based prediction method that develops a more accurate prediction model between the input and output variables using data-driven concepts. By providing a comprehensive dataset to the training algorithm, an accurate prediction model is created. Performance metrics such as root mean square (RMSE) and R2 are used to identify the best prediction model, and it is found that neural network-based prediction performs the best. This unique prediction model can be used at any operating temperature without the need for adjustment.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Amin Bavand, S. Ali Khajehoddin, Masoud Ardakani, Ahmadreza Tabesh
Summary: Estimating the state of health (SOH) and state of charge (SOC) of lithium-ion batteries is crucial for increasing battery lifetime and performance. A fast online SOH estimation method is introduced in this article, which uses partial charge/discharge and updates the OCV reference curve based on temperature readings for more accurate results. Experimental results validate the proposed method with low reported errors for both SOH and SOC.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Thermodynamics
Limei Wang, Jingjing Sun, Yingfeng Cai, Yubo Lian, Mengjie Jin, Xiuliang Zhao, Ruochen Wang, Long Chen, Jun Chen
Summary: This paper proposes a method to construct a complete OCV-SOC curve at different temperatures based on cloud data. It also establishes an OCV-SOC model suitable for different temperatures using an improved electrode potential model. Additionally, a method to construct a complete OCV-SOC curve from the charge segment based on the thermodynamic ideal material characteristics is proposed.
Article
Computer Science, Artificial Intelligence
S. Siva Suriya Narayanan, S. Thangavel
Summary: This work focuses on predicting the open-circuit voltage and terminal voltage of Lithium-Ion (Li-Ion) batteries accurately. An Enhanced Neural Network and Teaching Learning-Based Optimization (ENN-TLBO) algorithm is proposed to predict the terminal voltage of Li-Ion batteries in electric vehicles. The static model is obtained using a neural network (NN) while the dynamic model parameters are predicted using the Teaching Learning Based Optimization technique (TLBO).
APPLIED SOFT COMPUTING
(2023)
Article
Chemistry, Physical
Adib Mahmoodi Nasrabadi, Mahdi Moghimi
Summary: Microbial fuel cells have zero-carbon emissions and can purify water and prevent carbon dioxide emissions. Further research and development is needed for microbial fuel cells compared to other fuel cells. Scientists have recently studied the most important parameters affecting microbial fuel cells in order to improve their performance. Understanding microbial fuel cells can be enhanced by examining multiple influential parameters in a single study.
JOURNAL OF POWER SOURCES
(2023)
Article
Electrochemistry
Shuzhi Zhang, Xiongwen Zhang
Summary: This paper proposes a non-experiment-based reconstruction method for the relationship between open-circuit-voltage (OCV) and state-of-charge (SOC)/state-of-energy (SOE) of lithium-ion batteries. The feasibility of the method is verified through driving simulation tests and the universality is evaluated using a publicly available dataset.
ELECTROCHIMICA ACTA
(2022)
Article
Electrochemistry
Ujwal N. Jibhkate, Uday B. Mujumdar
Summary: This paper proposes a simple and low complexity open-circuit voltage model for estimating the State of Charge (SOC) of a battery. To improve accuracy, the model is modified using a two-degree polynomial function dependent on the remaining useful life (RUL). Experimental results show that the proposed model efficiently limits the error below a certain threshold for the entire SOC range.
ELECTROCHIMICA ACTA
(2022)
Review
Engineering, Electrical & Electronic
Yasin Izadi, Reza Beiranvand
Summary: This article examines the voltage unbalance issue in batteries and supercapacitors and proposes solutions. Passive equalizer circuits are low-cost and suitable for non-sensitive applications, while active balancing methods transfer energy from high-voltage cells to low-voltage cells. Different types of batteries and supercapacitors, as well as their optimal combinations, are investigated in detail. Control methods for these circuits are also studied to determine the most suitable option for specific applications.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Automation & Control Systems
Kandasamy Varatharajalu, Mathankumar Manoharan, Thamil Selvi C. Palanichamy, Sivaranjani Subramani
Summary: This manuscript proposes a hybrid method, WSO-HDLNN, for measuring the battery's dynamic electrical response as it is compressed by an external force. The proposed method aims to reduce the battery-voltage error by combining the War Strategy Optimization algorithm and Hierarchical Deep Learning Neural Network. The results show that the proposed method outperforms existing approaches in terms of computation time and error.
Article
Energy & Fuels
Hafiz Farhaj Khan, Aamir Hanif, Muhammad Umair Ali, Amad Zafar
Summary: This paper proposes a fused online approach consisting of the Lagrange multiplier technique and sigma point Kalman filter for lithium-ion battery model identification and state of charge estimation. Experimental results show that the proposed method outperforms other techniques in terms of accuracy.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Peng Lin, Peng Jin, Aixiao Zou, Zhenpo Wang
Summary: The study proposes a real-time PNGV model parameter identification method, which can provide a solid foundation for various battery state estimation. Real-time identification of PNGV model parameters via MRAS enables high-precision terminal voltage estimation for hybrid pulse power characterization. The real-time SOC estimation based on identified OCV also shows promising results.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Nawfal Al-Zubaidi R-Smith, Mykolas Ragulskis, Manuel Kasper, Sascha Wagner, Johannes Pumsleitner, Bob Zollo, Albert Groebmeyer, Ferry Kienberger
Summary: Characterization and classification of lithium-ion batteries are crucial for both cell and battery producers, especially with the increasing demand for LIBs in electric vehicle applications. This study introduces a compact measurement station with 256 multiplexed channels for measuring the OCV and ACIR of cylindrical cells. The performance of the measurement station was evaluated and improved through calibration procedures, resulting in a significant enhancement compared to a bench-top-based reference system. Finite element method modeling and analysis of the SoH of cycled cells were also conducted, demonstrating the potential of this multiplexed measurement station for LIB quality control in battery manufacturing.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Physical
Darshil Chodvadiya, Ujjawal Jha, Piotr Spiewak, Krzysztof J. Kurzydlowski, Prafulla K. Jha
Summary: In this study, the applicability of the h-AlC monolayer as an anode material was investigated using first principles based density functional theory. It was found that the h-AlC monolayer exhibited excellent metallic behavior and high storage capacity for Li and Na ions. The diffusion barrier for Li and Na ions on the h-AlC monolayer was also found to be favorable. This research provides valuable experimental work for the future storage mechanisms of lithium-ion batteries and sodium-ion batteries.
APPLIED SURFACE SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Guisheng Chen, Yangsong Xu, Junda Li, Yinggang Shen, Renxin Xiao, Tingjie Ba, Qiang Liu
Summary: This study proposes a novel method to estimate the state-of-charge (SOC) of lithium-ion batteries. By using a limited number of open-circuit voltage (OCV) test points from incremental OCV (IO) tests at different temperatures, the relationship between OCV and SOC is obtained. The results show that the estimations using this method are more accurate in a wide temperature range, while reducing the testing time.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Sneha Sundaresan, Bharath Chandra Devabattini, Pradeep Kumar, Krishna R. Pattipati, Balakumar Balasingam
Summary: This paper discusses the issue of OCV-SOC characterization in battery management systems, highlighting the risks of rounding OCV parameters. An alternative method for creating a robust OCV-SOC table is proposed, and a performance evaluation metric is introduced to measure its robustness.
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)