Article
Chemistry, Physical
Le Xu, Xianke Lin, Yi Xie, Xiaosong Hu
Summary: A novel non-destructive parameter identification method is proposed in this study to optimize the electrochemical model, and successful experimental results are demonstrated.
ENERGY STORAGE MATERIALS
(2022)
Article
Energy & Fuels
Elisa Braco, Idoia San Martin, Pablo Sanchis, Alfredo Ursua
Summary: This study proposes a novel fast characterization method to estimate the capacity and internal resistance of second-life Li-ion batteries during the repurposing stage. The method is validated with satisfactory results and reduces testing time and energy consumption, contributing to the reduction of repurposing procedures and costs.
Article
Chemistry, Physical
Yong Li, Jue Yang, Weilong Liu, Liye Wang, Chenglin Liao
Summary: A linear parameter-varying (LPV) modeling method for lithium-ion batteries is proposed in this research, which considers nonlinear relationships dependent on scheduling variables and utilizes a global method with the subspace identification algorithm to effectively identify the LPV battery model and provide good prediction accuracy and robustness.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Maya Horii, Rebecca J. Christianson, Heena Mutha, John Christopher Bachman
Summary: The microstructure of solid electrolyte has a significant impact on the overall performance of batteries. To maintain high energy and power output, the conductivity to thickness ratio of the electrolyte must be above 10 S m(-2), and the grain size needs to be at least 10,000 times larger than the grain boundary thickness.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Haisheng Guo, Xudong Han, Run Yang, Jinjin Shi
Summary: This paper proposes a multi-scale estimation algorithm that combines fractional order adaptive extended Kalman filter and variable forgetting factor recursive least square to solve the problem of SoC estimation in lithium-ion battery management system. Experimental results show that the proposed method achieves high accuracy and robustness.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Chong Hu, Haibo Liu, Yan Ji
Summary: This article aims to design an effective model and optimization method to describe and analyze the operating characteristics of the lithium-ion battery based on online measurement data. By exploiting the memory superiorities of the fractional-order, the fractional-order controlled autoregressive model is derived, which includes the electrochemical impedance spectroscopy and the n-RC equivalent circuit model. The approach designs a new gradient direction and fully utilizes the data from the lithium-ion battery by adding a suitable weighted factor. The experimental simulation result shows the performance of the proposed algorithms.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Engineering, Environmental
Qian-Kun Wang, Jia-Ni Shen, Zi-Feng Ma, Yi-Jun He
Summary: This study proposes a modeling strategy that couples a pseudo two-dimensional electrochemical model and a three-dimensional thermal model to describe the electrical and thermal dynamics of commercial LIBs, with the adoption of a variable solid state diffusion concept to enhance prediction ability. By introducing a decoupling estimation strategy and surrogate model optimization approach, the efficiency and accuracy of parameter estimation are improved significantly.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Energy & Fuels
Simone Barcellona, Silvia Colnago, Lorenzo Codecasa, Luigi Piegari
Summary: Nowadays, energy storage systems are crucial in sectors such as renewable energy production and sustainable mobility. Electrochemical devices, particularly EDLCs, LiCs, and LiBs, are the most common due to their high efficiency and flexibility. This study presents a unified model for predicting the electrical behavior of LiBs in the time or frequency domain and validates it through experimental tests.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Yuping Wang, Weidong Li, Run Fang, Honghui Zhu, Qiao Peng
Summary: This paper proposes an XGBoost-based machine learning framework that can predict and analyze the capacities of batteries under different current rates, while also quantifying the correlations between battery component parameters. The framework is tested on two popular lithium-ion battery types and shows satisfactory capacity prediction performance, as well as reliable parameter importance and correlation quantification results.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Energy & Fuels
Xiwen Liu, Jia Li, Zhuohong Yao, Zhongyan Wang, Ruicai Si, Yunpeng Diao
Summary: The life characteristics of lithium-ion battery were analyzed based on experimental data, with a mathematical model established for predicting the battery's state of health (SOH). The performance parameters of the battery were studied in relation to its life, and the accuracy of the estimation methods was verified.
Article
Energy & Fuels
Claudia Tomasini Montenegro, Jens F. Peters, Manuel Baumann, Zhirong Zhao-Karger, Christopher Wolter, Marcel Weil
Summary: Through a life cycle assessment, it was found that the initial prototype MgS battery cannot compete with current LIB in terms of energy density or environmental performance due to a high share of non-active components. However, if the MgS battery can achieve the assumed design goals and reach comparable lifespan, efficiency, cost, and safety levels to that of existing LIB, it has the potential to outperform both existing LIB and lithium-sulfur batteries.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Energy & Fuels
Javier Urquizo, Pritpal Singh
Summary: Modeling the performance and degradation of Battery Energy Storage Systems (BESS) has gained significant attention, but research specifically on lithium-ion batteries in grid storage applications is lacking. Current research relies heavily on data from electric vehicle applications, and more research and standardized testing profiles are needed for BESS.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Joseph Lacap, Jae Wan Park, Lucas Beslow
Summary: This paper explores the use of second-life battery modules in a commercial-scale microgrid, challenging conventional wisdom on EV battery lifespan and demonstrating the potential of second-life batteries for energy storage. Results from the first year of operation showed significant reductions in peak-time demand and energy use, supporting the suitability of second-life batteries for commercial-scale energy storage.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Jackson Fogelquist, Xinfan Lin
Summary: This paper proposes an uncertainty-aware data selection framework that selects data segments based on the potential of the ingrained data structures to mitigate the influence of system uncertainties on the estimation result. The framework comprises a data quality rating and a data selection algorithm. Experimental results show that the framework significantly reduces estimation errors by extracting high-quality data segments.
Article
Automation & Control Systems
Kailong Liu, Yizhao Gao, Chong Zhu, Kang Li, Minrui Fei, Chen Peng, Xi Zhang, Qing-Long Han
Summary: This paper provides a systematic review of recent advancements in electrochemical model development and parameterization for battery management systems. It summarizes and analyzes classic pseudo-two-dimensional models and related model order reduction methodologies, as well as enhanced models considering cell internal inhomogeneity. The paper also discusses parameter identification techniques and solutions for optimizing the parameterization procedure, and highlights current research gaps and challenges.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Computer Science, Information Systems
Simone Barcellona, Silvia Colnago, Paolo Montrasio, Luigi Piegari
Summary: Lithium-ion batteries are attractive for electric vehicles but sensitive to temperature. Thermal management systems are needed to mitigate temperature issues. This paper proposes an integrated electro-thermal model to estimate the thermal behavior of each battery cell in a battery pack.
Article
Energy & Fuels
Simone Barcellona, Silvia Colnago, Giovanni Dotelli, Saverio Latorrata, Luigi Piegari
Summary: This study analyzes the relationship between internal resistance of lithium batteries and temperature, state of charge, and aging. The proposed mathematical model is validated through experimental tests and a chemical interpretation of the observed phenomena is provided.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Eros B. Avdiaj, Salvatore D'Arco, Luigi Piegari, Jon Are Suul
Summary: This article comparatively assesses five strategies for controlling the negative sequence currents of a virtual synchronous machine (VSM) under unbalanced conditions. The characteristics and performance of these strategies have been systematically evaluated through theoretical derivation and experimental validation. The results provide a basis for evaluating the applicability of the studied control strategies under different operating conditions.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Energy & Fuels
Marzio Barresi, Edoardo Ferri, Luigi Piegari
Summary: This paper proposes an ultra-fast charging station topology based on a modular multilevel converter (MMC) structure and dual-active bridge (DAB) converters. The charging station can directly interface with the MV grid without requiring transformers or filters. The effectiveness of the proposed charging station is demonstrated through numerical simulations.
Article
Engineering, Electrical & Electronic
Riccardo Lazzari, Luigi Piegari
Summary: In recent years, low-voltage direct current (LVDC) microgrids have become increasingly attractive for integrating renewable sources, storage, and electronic loads. This paper discusses the challenges of protecting LVDC microgrids with multiple feeders and energy sources, and proposes a solution that combines mechanical and hybrid circuit breakers to reduce energy losses. A decentralized control system is designed to overcome transition time and selectivity issues, and is compared with a centralized protection scheme through numerical simulation. The proposed solution proves to be more reliable and flexible, achieving similar performance in fault conditions without relying on the communication system.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Review
Energy & Fuels
Mehrshad Pakjoo, Luigi Piegari, Giuliano Rancilio, Silvia Colnago, Joseph Epoupa Mengou, Federico Bresciani, Giacomo Gorni, Stefano Mandelli, Marco Merlo
Summary: This paper reviews the test protocols for building aging models for BESSs. Due to the differences in structure between BESSs and a single electrochemical cell, existing test protocols cannot accurately predict the lifespan of BESSs. Therefore, new testing methods need to be investigated.
Article
Energy & Fuels
Simone Barcellona, Marzio Barresi, Luigi Piegari
Summary: The integration of photovoltaic modules with a modular multilevel converter offers various advantages and allows for efficient power tracking. Previous research proposed a control strategy for managing circulating currents, and this study focuses on optimizing the sizing of a capacitor to improve voltage quality and reduce converter losses.
Article
Energy & Fuels
Gianmarco Gottardo, Andrea Basso Peressut, Silvia Colnago, Saverio Latorrata, Luigi Piegari, Giovanni Dotelli
Summary: This study models and compares three electric architectures of fuel cell electric vehicles using a life cycle assessment method, and highlights the significant impact of converters on fuel consumption.
Article
Engineering, Multidisciplinary
Simone Barcellona, Silvia Colnago, Luigi Piegari
Summary: In recent years, lithium-ion batteries have been widely used in various applications that require high energy and power density. Estimating internal parameters such as capacity and internal resistance is crucial for both static and mobile applications. The internal resistance of a battery affects its power delivery capability and overall efficiency, and it changes under different conditions and aging. The present work deeply analyzes the hysteresis resistance phenomenon, considering cycle aging, and proposes a mathematical model to predict the changes in hysteresis as a function of aging, for a fixed state of charge and temperature.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
P. Aditya, Venkata Raghavendra, Satish Naik Banavath, Xiaoqing Song, Alessandro Lidozzi, Luigi Piegari
Summary: The increasing population and improved human quality of life have posed new challenges to the aviation industry in terms of increased greenhouse gas emissions due to increased air travel. To address this, the industry needs to focus on electrifying air transportation and develop complex electric power systems (EPS) that can handle high power demands. The proposed modified O-Z-source DCCB (MOZSCB) topology, with a thyristor as the main fault interrupting switch and a coupled inductor aiding in commutation, offers a solution for faster fault isolation and overcoming the drawbacks of conventional DCCBs.
2023 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC
(2023)
Article
Energy & Fuels
Simone Barcellona, Silvia Colnago, Lorenzo Codecasa, Luigi Piegari
Summary: Nowadays, energy storage systems are crucial in sectors such as renewable energy production and sustainable mobility. Electrochemical devices, particularly EDLCs, LiCs, and LiBs, are the most common due to their high efficiency and flexibility. This study presents a unified model for predicting the electrical behavior of LiBs in the time or frequency domain and validates it through experimental tests.
JOURNAL OF ENERGY STORAGE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Silvia Colnago, Marco Faifer, Emil Petkovski, Luigi Piegari
Summary: This paper introduces an economical and automated battery testing system capable of aging batteries of different sizes, and allows users to define various testing cycles programmatically.
2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE)
(2022)
Proceedings Paper
Energy & Fuels
Eros Avdiaj, Jon Are Suul, Salvatore D'Arco, Luigi Piegari
Summary: This paper presents a control system implementation for operating a Modular Multilevel Converter (MMC) as a Virtual Synchronous Machine (VSM) under unbalanced conditions. A frequency-adaptive filtering strategy is proposed for improving the dynamic response of the MMC energy control loops. This method offers advantages of reduced delay and consistent performance regardless of grid frequency variations.
2022 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS, AND POWER ENGINEERING (CPE-POWERENG)
(2022)
Proceedings Paper
Energy & Fuels
Marzio Barresi, Edoardo Ferri, Luigi Piegari
Summary: This paper proposes a novel fast-charging structure based on MMC and BESS, which integrates the battery energy storage system and the charging spot to avoid bulky output filters and exploit the modularity of the converter. Moreover, an optimal size of the BESS capacity is analyzed to meet different vehicle charging power requirements. Simulation results demonstrate the advantages and drawbacks of the MMC-BESS topology.
2022 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS, AND POWER ENGINEERING (CPE-POWERENG)
(2022)
Proceedings Paper
Energy & Fuels
Davide del Giudice, Davide De Simone, Luigi Piegari
Summary: This paper presents the work originated from participating in the sixth edition of the IEEE VTS Motor Vehicles challenge, focusing on the design of a hybrid dual energy storage system for electric vehicles. The aim is to enhance the overall lifetime and efficiency of electric vehicles by properly sizing the battery cells and supercapacitor modules and implementing an energy management system for control. Three strategies proposed for the challenge are outlined, along with their effects on key variables of interest such as battery current and supercapacitor pack voltage.
2022 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)
(2022)
