Article
Energy & Fuels
Himadri Sekhar Bhattacharyya, Amalendu Bikash Choudhury, Chandan Kumar Chanda
Summary: This paper focuses on the battery management system (BMS) and the calculation of state of charge (SOC) in lithium-ion batteries. By using the electrical equivalent circuit model (EECM) and algorithms such as extended Kalman filter (EKF) and dual extended Kalman filter (DEKF), a fairly accurate estimate of SOC can be obtained. The impact of voltage and current sensor bias on SOC is also investigated, and the effectiveness of the algorithms is validated under different conditions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Xin Lai, Yunfeng Huang, Xuebing Han, Huanghui Gu, Yuejiu Zheng
Summary: A novel SOE estimation method using PF and EKF algorithms is proposed in this study, which is able to improve accuracy and robustness by identifying battery model parameters at different temperatures. Experimental results show that the maximum error of the proposed algorithm is less than 3% under dynamic conditions and can quickly converge to its reference trajectory even with large initial errors in SOE and total available energy.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Kaixuan Zhang, Cheng Chen, Yanzhou Duan, Yu Fang, Ruixin Yang
Summary: This paper proposes a new method to describe the relation between OCV and SOC, simplifying the mapping between temperature, aging, OCV, and SOC into a temperature-independent three-dimensional mapping. The newly-defined capacity and OCV-SOC curve are independent of battery temperature and have been verified with a large number of test data. A cooperative estimation method for model parameters and state based on the DEKF algorithm is developed, and the results show that the proposed method can accurately estimate battery SOC with an error within 3% after fast convergence.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Tiantian Lin, Ziqiang Chen, Changwen Zheng, Deyang Huang, Shiyao Zhou
Summary: This article presents a fault diagnostic scheme based on a hybrid system for typical faults of lithium-ion battery packs. The method utilizes a distributed diagnostic structure and a dual extended Kalman filter algorithm to estimate parameters and states of each cell in the battery pack. The performance of the diagnostic method is validated through simulations on a battery pack containing two series-connected batteries and two parallel branches.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Energy & Fuels
Peng Nian, Zhang Shuzhi, Zhang Xiongwen
Summary: An improved adaptive extended Kalman filter (IAEKF) is proposed for co-estimation of battery capacity and SOC, with enhanced temperature adaptability through polynomial relationships and forgetting factor. Verification results demonstrate high accuracy and anti-interference capability of the algorithm in FUDS testing.
JOURNAL OF ENERGY STORAGE
(2021)
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
Computer Science, Information Systems
Jaejung Yun, Yeonho Choi, Jaehyung Lee, Seonggon Choi, Changseop Shin
Summary: Accurate SOC estimation is crucial for the efficient operation of battery systems. This study proposes an improved EKF algorithm that applies battery parameters that change according to the SOC, and experimental results confirm its higher accuracy compared to the conventional EKF in SOC estimation.
Article
Energy & Fuels
Fan Yang, Dongliang Shi, Kwok-ho Lam
Summary: With the popularization of electric vehicles, accurate estimation of voltage and state-of-charge (SOC) for rechargeable batteries becomes crucial. Traditional extended Kalman Filtering algorithms suffer from limitations in SOC and voltage estimations. This study proposes a modified extended Kalman filtering (MEKF) algorithm to improve the estimation accuracy of voltage and SOC through real-time parameter adjustment and error reduction.
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
Energy & Fuels
Bahman Khaki, Pritam Das
Summary: This paper proposes a new parameter estimation model for Vanadium Redox Flow Battery that is applicable for various charging procedures and shows improved accuracy when compared to previous models. By using two Kalman filter based methods, the discrepancies in the constant voltage mode of the proposed circuit model are reduced significantly. The proposed method can also be extended to estimate the state of charge of the battery with improved accuracy.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Multidisciplinary Sciences
Rajakumar Sakile, Umesh Kumar Sinha
Summary: This paper proposes an adaptive joint algorithm approach to calculate online parameters and accurate state of charge for electric vehicle batteries. The approach shows better results in forecasting battery health and remaining useful life, significantly improving the accuracy of the system.
ADVANCED THEORY AND SIMULATIONS
(2022)
Article
Energy & Fuels
Prashant Shrivastava, Tey Kok Soon, Mohd Yamani Idna Bin Idris, Saad Mekhilef, Syed Bahari Ramadzan Syed Adnan
Summary: This study proposes a comprehensive co-estimation method for battery states, maximum available capacity, and maximum available energy, utilizing the correlation between different battery states to achieve high accuracy and reduce computational burden. The method is validated on two different chemistry battery cells under dynamic load profiles at different operating temperatures, and shows superior accuracy compared to existing methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Mostafa Al-Gabalawy, Nesreen S. Hosny, James A. Dawson, Ahmed Omar
Summary: A study developed a SOC estimation algorithm using extended Kalman filter (EKF) and found that the dual EKF algorithm provided the most accurate estimation for battery parameters through comparative analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Prashant Shrivastava, Tey Kok Soon, Mohd Yamani Idna Bin Idris, Saad Mekhilef, Syed Bahari Ramadzan Syed Adnan
Summary: In this work, a highly accurate and computationally efficient model-based battery states estimation method is proposed. It can concurrently estimate different battery states and has been validated with experimental results for accuracy and computational efficiency.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Likun Xing, Liuyi Ling, Xianyuan Wu
Summary: This paper proposes a novel model-based method using Dual Extended Kalman Filtering algorithm and Back Propagation Neural Network to estimate and correct the State-Of-Charge (SOC) of lithium-ion batteries. Experimental results show that the SOC estimation error reduces significantly after correcting the estimated SOC.
CONNECTION SCIENCE
(2022)
Article
Engineering, Civil
A. Capasso, M. Ceraolo, R. Lamedica, G. Lutzemberger, A. Ruvio
JOURNAL OF ADVANCED TRANSPORTATION
(2019)
Article
Computer Science, Software Engineering
M. Ceraolo, G. Lutzemberger
SOFTWARE-PRACTICE & EXPERIENCE
(2019)
Article
Energy & Fuels
Paolo Conti, Giovanni Lutzemberger, Eva Schito, Davide Poli, Daniele Testi
Article
Energy & Fuels
Romano Giglioli, Giovanni Lutzemberger, Luca Sani
Article
Energy & Fuels
Edoardo Locorotondo, Fabio Corti, Luca Pugi, Lorenzo Berzi, Alberto Reatti, Giovanni Lutzemberger
Summary: This paper presents a circuit design for battery state diagnosis and charging, along with a fast and embedded impedance measurement method. Electrochemical impedance spectroscopy is used to estimate the battery state accurately and can be applied in wireless charging systems.
Article
Green & Sustainable Science & Technology
Sara Salamone, Basilio Lenzo, Giovanni Lutzemberger, Francesco Bucchi, Luca Sani
Summary: This paper investigates energy efficient torque distribution strategies for electric vehicles with multiple motors, aiming to minimize power losses and improve operational efficiency. Simulation results show that optimal torque distribution strategies can reduce energy consumption by up to 5.5% compared to simple distribution schemes, benefiting the battery state of charge.
Article
Energy & Fuels
Massimo Ceraolo, Giovanni Lutzemberger, Davide Poli, Claudio Scarpelli
Summary: The degradation mechanism of three different lithium-iron-phosphate cells was carefully studied, showing that the end-of-discharge voltage and internal resistance can be used as good indicators of state-of-life, although they are influenced by factors such as battery state and temperature.
Editorial Material
Engineering, Industrial
Massimo Ceraolo, Giovanni Lutzemberger, Davide Poli, Claudio Scarpelli
IEEE INDUSTRY APPLICATIONS MAGAZINE
(2021)
Article
Energy & Fuels
Michele Barbieri, Massimo Ceraolo, Giovanni Lutzemberger, Claudio Scarpelli
Summary: This paper presents an electro-thermal model for large prismatic LFP lithium cells, which is calibrated by experimental tests and used to predict battery behavior. The model is validated against experimental data and shows high accuracy.
Review
Electrochemistry
Gianluca Pasini, Giovanni Lutzemberger, Lorenzo Ferrari
Summary: Road transport is a highly energy-consuming and greenhouse gas emitting sector. The decarbonisation of electricity generation can support the goal of road vehicle climate neutrality either through direct electrification or the use of e-fuels. This study analyzes the most promising electrochemical storages for road transport and reviews and compares different e-fuels and their production pathways. It highlights the significant difference in efficiency between electrochemical storages and e-fuels, with the latter requiring more input energy and causing higher CO2 emissions if the electricity is not completely decarbonised.
Article
Energy & Fuels
Massimo Ceraolo, Valentina Consolo, Mauro Di Monaco, Giovanni Lutzemberger, Antonino Musolino, Rocco Rizzo, Giuseppe Tomasso
Summary: Inductive Power Transfer (IPT) technology is expected to greatly contribute to electrification in transportation, offering fully automatable and dynamic charging to overcome limitations of conductive charging, while also improving safety. This paper systematically presents the design and realization process of a prototype for IPT charging of autonomous shuttles in automated warehouses.
Article
Energy & Fuels
M. Ceraolo, G. Lutzemberger, E. Meli, L. Pugi, A. Rindi, G. Pancari
JOURNAL OF ENERGY STORAGE
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Massimo Ceraolo, Giovanni Lutzemberger, Luca Sani, Giacomo Valenti, Alessandro Pretto, Luca Pugi
2017 INTERNATIONAL CONFERENCE OF ELECTRICAL AND ELECTRONIC TECHNOLOGIES FOR AUTOMOTIVE
(2017)
Proceedings Paper
Engineering, Multidisciplinary
G. Lutzemberger, A. Musolino, R. Rizzo, L. Sani
2017 IEEE 3RD INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGIES FOR SOCIETY AND INDUSTRY (RTSI)
(2017)
Proceedings Paper
Green & Sustainable Science & Technology
D. Fioriti, R. Giglioli, D. Poli, G. Lutzemberger, A. Vanni, P. Salza
2017 6TH INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP): RENEWABLE ENERGY IMPACT
(2017)
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)
