Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: On-board batteries from electric vehicles can be used as an auxiliary source of energy in domestic installations. Home Energy Management systems are crucial in future smart grids to efficiently use energy in residential applications. However, managing uncertainties caused by intermittent renewable generation, uncertain prices, and behaviors of electric vehicles requires further research. This paper proposes a fully robust Home Energy Management model that accounts for all uncertainties and validates its effectiveness through a case study.
JOURNAL OF ENERGY STORAGE
(2023)
Editorial Material
Multidisciplinary Sciences
Guinevere A. Giffin
Summary: The article discusses the correlation between the physicochemical properties of non-standard electrolyte solutions and their ability to enhance energy storage performance of lithium-based batteries, presenting the current research progress and future perspectives.
NATURE COMMUNICATIONS
(2022)
Article
Thermodynamics
Yazan Al-Wreikat, Emily Kate Attfield, Jose Ricardo Sodre
Summary: This study presents a mathematical model that calculates the payback time of reusing electric vehicle batteries as residential energy storage systems. The model considers various factors such as battery purchase price, BESS capacity, electricity unit rates, and electricity demand profile to determine the payback time. The results show that these variables have significant effects on the payback time.
Article
Thermodynamics
Peter Sorknaes, Jakob Zinck Thellufsen, Kai Knobloch, Kurt Engelbrecht, Meng Yuan
Summary: In 100% renewable energy systems, flexibility requirements are higher than in traditional carbon-based energy systems. New technologies and system setups are needed to provide flexibility for balancing the system. The integration of Carnot batteries in a 100% renewable energy scenario for Denmark shows potential economic benefits but cost reductions are needed for large-scale implementation.
Article
Energy & Fuels
Kieran Mc Carthy, Hemtej Gullapalli, Tadhg Kennedy
Summary: This paper proposes an accurate online model for estimating the capacity of Li-ion batteries. By analyzing the effect of aging on battery impedance characteristics, the model estimates the current battery capacity based on the relationship between capacity fade and impedance increase. Experimental results demonstrate the high accuracy and reliability of the proposed model.
Article
Engineering, Electrical & Electronic
Xing Weng, Zhengming Zhao, Kainan Chen, Liqiang Yuan
Summary: This article examines the plug-and-play capability of electric energy router (EER) and proposes a closed-loop control method based on communication principles and an impedance measurement method using short-time Fourier transform (STFT). The experiments demonstrate the effectiveness of these methods in injecting chirp signal and accurately measuring impedance.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Chemistry, Physical
Kieran Mc Carthy, Hemtej Gullapalli, Tadhg Kennedy
Summary: Thermal monitoring is crucial for ensuring the safety, performance, and longevity of Li-ion batteries, especially when interconnected. This paper introduces a real-time internal temperature estimator for Li-ion polymer batteries, based on impedance characteristics and the influence of SoC and SoH. The model demonstrated high sensitivity to temperature changes and low sensitivity to SoC and SoH, with an average RMSE of 1.41 degrees C across all data sets.
JOURNAL OF POWER SOURCES
(2022)
Article
Green & Sustainable Science & Technology
Ligia da Silva Lima, Mattijs Quartier, Astrid Buchmayr, David Sanjuan-Delmas, Hannes Laget, Dominique Corbisier, Jan Mertens, Jo Dewulf
Summary: This study investigates the environmental impacts of lithium-ion and vanadium flow batteries for renewable energy storage, with a focus on factors such as battery composition and recycled electrolyte. Results show that using recycled electrolyte can significantly reduce the environmental impacts of vanadium-based storage systems, while the new lithium-ion battery cathode chemistry leads to higher overall impacts.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Green & Sustainable Science & Technology
Marcos-Tostado Veliz, Bablesh Kumar Jha, Salah Kamel, Naran M. Pindoriya, Francisco Jurado
Summary: This paper highlights the importance of home energy management tools in reducing energy consumption and proposes a solution procedure that considers grid outages. The developed methodology allows for scheduling home appliances immune against outages while considering the economy of the system.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Paolo Marocco, Riccardo Novo, Andrea Lanzini, Giuliana Mattiazzo, Massimo Santarelli
Summary: New challenges arise in accurately modeling energy systems with high renewable energy shares. Energy storage technologies are crucial for managing fluctuations in renewable energy sources and electricity demand. This study investigates the role of batteries and hydrogen storage in achieving a 100% renewable energy system. The impact of time series clustering on multi-year planning is assessed, and different configurations of carbon-free energy systems are considered. The results show the cost-effectiveness of hydrogen-based solutions in achieving energy self-sufficiency.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Sanghun Park, Nakyung Yoon, Zahid Ullah, Bethwel Kipchirchir Tarus, Byeongwook Choi, Hoo Hugo Kim, Moon Son
Summary: The use of renewable energy is increasing rapidly, but excess residual electricity is a global concern. Storing surplus renewable energy in energy storage systems (ESSs) is important. This study proposes a seawater battery (SWB) as an efficient ESS for intermittent renewable energy sources. Four charging scenarios and two artificial intelligence models are used to evaluate the energy storage capability and estimate the potential of SWBs. The results show that SWB is a promising solution for energy storage and management of intermittent energy sources.
JOURNAL OF POWER SOURCES
(2023)
Article
Computer Science, Theory & Methods
Mario Jose Divan, Maria Laura Sanchez-Reynoso, Silvio Miguel Gonnet
Summary: The Internet-of-Things devices have improved the Spatiotemporal resolution in Real-time Data Gathering Systems. However, the heterogeneity of sensors has increased the complexity. This work presents a strategy for defining and communicating measurement projects using a conceptual hierarchy derived from a measurement ontology. It also introduces a data interchange format called BriefPD.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul Sarker
Summary: This study introduces a new three-layer real-time scheduling framework for community microgrids (CMG), which incorporates a feedback mechanism between scheduling layers to generate cost-effective schedules and better handle variations in renewable energy generation and demand within the CMG. A heuristic-based differential evolution (DE) algorithm is proposed to solve the real-time scheduling problem of CMG, providing feasible solutions with lower computational effort. Experimental results confirm the efficacy of the proposed scheduling approach over existing methods.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Wenfa Kang, Minyou Chen, Wei Lai, Yanyu Luo
Summary: In this paper, a virtual energy storage system (VESS) is proposed for active distribution networks (ADN), which consists of battery energy storage system (BESS), renewable energy sources (RES), and flexible loads (FL). Dynamic pricing strategies based on system voltage condition are designed for voltage regulation in VESS. A distributed real-time power management model containing dynamic pricing strategies is proposed for voltage regulation and economic power sharing in VESS, with a focus on time-varying unbalanced directed networks.
Article
Chemistry, Physical
Alejandro Datas, Alicia Lopez-Ceballos, Esther Lopez, Alba Ramos, Carlos del Canizo
Summary: This study discusses the techno-economics of latent heat thermophotovoltaic (LHTPV) systems and compares their levelized cost of storage with Li-ion batteries in both long-duration storage and combined heat and power (CHP) applications. The results indicate that LHTPV systems have lower levelized cost of storage and are suitable for long-duration storage and CHP applications.
Article
Energy & Fuels
Dominika Capkova, Vaclav Knap, Andrea Strakova Fedorkova, Daniel-Ioan Stroe
Summary: High-energy density sulfur cathodes are promising for future applications in lithium-ion batteries, but their capacity retention and cycle performance need improvement. The shuttle effect of higher polysulfides formed in a high voltage plateau is the main cause of these limitations. Through long-term calendar aging tests, it has been found that temperature has a more negative impact on Li-S cell performance than the depth-of-discharge. Storage at high temperatures and in a fully charged state should be avoided to maximize the life of Li-S batteries.
Article
Chemistry, Applied
Yaqi Li, Jia Guo, Kjeld Pedersen, Leonid Gurevich, Daniel-Ioan Stroe
Summary: This study designs a multi-step fast charging method to extend the lifetime of Li-ion batteries and investigates the aging mechanisms for different charging methods. The results show that one of the designed multi-step charging protocols allows for a 200 full equivalent cycles longer lifetime as compared to the standard charging method, while reducing the charging time by 20%.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Article
Engineering, Electrical & Electronic
Roosa-Maria Sallinen, Tomi Roinila
Summary: Modern dc-power-distribution systems with energy storages rely on bidirectional power-electronics converters for operation. However, the interplay between the converters can lead to stability issues. Previous studies have proposed adaptive control-based techniques to address these issues, but implementing them on bidirectional converters has not been fully explored. This article presents a procedure to implement an adaptive stabilizing control method on a bidirectional converter with minimal changes to the regular controller. Experimental measurements confirm the effectiveness of the proposed methods.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Automation & Control Systems
Yunhong Che, Daniel-Ioan Stroe, Xiaosong Hu, Remus Teodorescu
Summary: This article proposes a novel semi-supervised self-learning method for battery lifetime prediction. Health indicators are extracted and used to reconstruct historical capacities for self-training of the lifetime model. The self-trained lifetime model is able to predict future degradation and provide probabilistic predictions of future capacities.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Electrochemistry
Shunli Wang, Xianyi Jia, Paul Takyi-Aninakwa, Daniel-Ioan Stroe, Carlos Fernandez
Summary: This review examines the existing methods for estimating the State of Charge (SOC) of Lithium-ion batteries (LIBs) and analyzes their advantages and disadvantages. It also provides a systematic analysis of the methods for constructing LIB models, considering applicability and accuracy. Furthermore, the advantages of particle filtering (PF) over the Kalman filter (KF) series algorithm for SOC estimation are summarized, and various improved PF algorithms for LIB SOC estimation are compared and discussed. Additionally, this review offers suggestions for researchers in the battery field.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Chemistry, Applied
Jia Guo, Yunhong Che, Kjeld Pedersen, Daniel-Ioan Stroe
Summary: In this paper, the impedance spectrum of a battery is predicted using the battery charging voltage curve and optimized based on electrochemical mechanistic analysis and machine learning. The internal electrochemical relationships between the charging curve, incremental capacity curve, and the impedance spectrum are explored, improving the physical interpretability and defining the proper partial voltage range for machine learning models. The experimental results show that the predicted errors for impedance spectrum are less than 1.9 mO with the proper partial voltage range selected by the corelative analysis of the electrochemical reactions.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Article
Chemistry, Applied
Mingqiang Lin, Yuqiang You, Jinhao Meng, Wei Wang, Ji Wu, Daniel-Ioan Stroe
Summary: This paper proposes a novel method for predicting the long-term degradation trajectory of Lithium-ion (Li-ion) battery using synthetic dataset and deep learning, which enables to accurately estimate the battery's health at an early stage. The method employs a transferred convolutional neural network (CNN) for early prediction and a polynomial function based synthetic dataset generation strategy to reduce data collection costs. Experimental validation shows that with only full lifespan cycling data from 4 cells and 100 cycling data from each cell, the proposed method exhibits good prediction accuracy on a dataset with over 100 commercial Li-ion batteries.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Review
Chemistry, Applied
Xingjun Li, Dan Yu, Vilsen Soren Byg, Store Daniel Ioan
Summary: This study thoroughly investigates the developmental trend of machine learning algorithms in lithium-ion battery remaining useful life (RUL) prediction and explores the potential of extending battery lifetime using RUL prediction results.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Review
Energy & Fuels
Jichang Peng, Jinhao Meng, Ji Wu, Zhongwei Deng, Mingqiang Lin, Shuai Mao, Daniel-Ioan Stroe
Summary: To address the uncertainty of renewable energy in power systems, electrochemical energy storage systems, specifically lithium-ion battery-based energy storage systems, are proposed as a solution to enhance grid flexibility. Accurate and cost-efficient battery models, specifically equivalent circuit models, are necessary for energy management functionalities. Offline parameter identification methods are introduced as benchmarks for battery model initialization and online applications. The research reviews and analyzes parameter identification for lithium-ion battery models, determining recommendations for real-world applications based on variations in parameters and modeling accuracy.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Alejandro Gismero, Kjeld Norregaard, Bjarne Johnsen, Lasse Stenhoj, Daniel-Ioan Stroe, Erik Schaltz
Summary: The state of health (SOH) is crucial for the proper and safe operation of electric vehicle (EV) batteries, as well as for the second-hand market. This study aims to develop and verify a non-invasive method using incremental capacity analysis (ICA) to estimate the SOH of real EVs. The proposed method has been proven effective in both battery cells and commercial vehicles, allowing the estimation of SOH during charging without interference.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Mahdi Soltani, Soren B. Vilsen, Ana-Irina Stroe, Vaclav Knap, Daniel-Ioan Stroe
Summary: This paper investigates the cycling aging behavior of Lithium titanate oxide Li4Ti5O12 (LTO) cells under different temperatures and cycle depths. The capacity degradation trend is analyzed using a data-driven technique based on feedforward neural network (FFNN). The proposed method accurately determines the state of health (SOH) level and predicts the end of life (EOL) with an error of 5% or less.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Wendi Guo, Yaqi Li, Zhongchao Sun, Soren Byg Vilsen, Daniel Ioan Stroe
Summary: This paper proposes a lithium-ion battery digital twin model that can accurately verify battery performance under real-time dynamic operating conditions and estimate aging behavior. It has significant implications for future machine learning development.
ENERGY STORAGE MATERIALS
(2023)
Article
Thermodynamics
Shunli Wang, Fan Wu, Paul Takyi-Aninakwa, Carlos Fernandez, Daniel-Ioan Stroe, Qi Huang
Summary: In this paper, an improved SF-GPR-LSTM modeling method is proposed for the estimation of remaining capacity in low-temperature power systems. The model's adaptability is verified using datasets from whole-life-cycle tests on two batteries, and it shows good estimation performance even with only 55% of the data. The proposed SF-GPR-LSTM model enables effective carrier transport synergistic optimization and provides a theoretical foundation for the estimation of battery remaining capacity at extremely low temperatures.
Proceedings Paper
Engineering, Electrical & Electronic
Jorge Suarez Porras, Daniel Ioan-Stroe, Ariya Sangwongwanich
Summary: Battery energy storage systems (BESS) utilize second-life batteries (SLBs) to reduce costs, but face challenges due to non-uniform SOC and SOH among battery modules. This study investigates control strategies for a cascaded H-bridge (CHB) topology for BESS, enabling individual charge and discharge of battery modules. Two battery energy management system (BEMS) techniques based on State-of-Energy (SOE) are proposed: continuous and discrete balancing techniques. Experimental tests confirm the advantages of these solutions for SLBs in terms of individual balancing control.
2023 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC
(2023)
Review
Thermodynamics
Yusheng Zheng, Yunhong Che, Xiaosong Hu, Xin Sui, Daniel-Ioan Stroe, Remus Teodorescu
Summary: This paper provides a comprehensive review of temperature estimation techniques in battery systems, discussing potential metrics, different estimation methods, and their strengths and limitations in battery management. The challenges and future opportunities in battery thermal state monitoring are also identified and discussed.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2024)