Article
Energy & Fuels
Leo Wildfeuer, Markus Lienkamp
Summary: Parameter variations of lithium-ion batteries can reduce battery pack performance, with impedance changes potentially linked to imperfect measurement setup. Experimental findings suggest that parameter variations are greatly influenced by temporal and spatial temperature inhomogeneities, and compensating for these effects can significantly reduce resistance variation.
Article
Thermodynamics
Yih-Wen Wang
Summary: This study compared the pressure elevation related to temperature variances for cylinder Li-ion cells with their explosive behaviors, finding that the layer-structure LiCoO2 cell has significant deflagration potential. The considerable quantities of gas eruption from a charged cell can result in battery rupture and flames from a confined energy storage system. The critical temperature to thermal explosion model for a cylinder Li-ion cell was evaluated to classify their runaway reaction and deflagration potential.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Energy & Fuels
Liwen Zhang, Shiyou Yang, Lu Liu, Peng Zhao
Summary: As one of the most promising energy storage mediums, Lithium-ion batteries (LIBs) have attracted extensive research interest. However, thermal runaway, a major challenge in LIB application, has been examined in this study. Through experiments on Li-ion batteries with a relatively simple chemistry, it is found that there is significant cell-to-cell variability and the existing thermal runaway model cannot accurately capture the activation energy. Statistical analysis is used to improve the kinetic modeling and accommodate the variability. The findings have important implications for enhancing battery safety and preventing thermal runaway propagation.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
C. Gervillie-Mouravieff, C. Boussard-Pledel, Jiaqiang Huang, C. Leau, L. Albero Blanquer, M. Ben Yahia, M-L Doublet, S. T. Boles, X. H. Zhang, J. L. Adam, J-M Tarascon
Summary: A new method for monitoring the dynamic chemistry inside batteries using operando infrared spectroscopy and optical fiber sensors has been developed. This method reveals the dynamic mechanisms of key processes in commercial Li-ion and Na-ion batteries.
Article
Chemistry, Physical
Noel Hallemans, Widanalage Dhammika Widanage, Xinhua Zhu, Sanghamitra Moharana, Muhammad Rashid, Annick Hubin, John Lataire
Summary: This article introduces operando EIS as a promising tool for measuring time-varying impedance data of Li-ion batteries. The mathematical principles behind impedance extraction are detailed, and the technique is applied to reproducible experiments to study the nonlinear behavior of the batteries.
JOURNAL OF POWER SOURCES
(2022)
Article
Electrochemistry
Kristian Frenander, Torbjorn Thiringer
Summary: The Tesla Model 3 is a highly popular electric vehicle, ranking as the best selling EV in 2020 and the second best selling in 2021. This study investigates the impact of battery usage on aging for the 2170 cells used in the Model 3. It is found that dynamic usage in the range of 0.01 to 0.1 Hz has a significant effect on aging, while dynamic usage in the range of 0.1 to 1 Hz does not. Additionally, the study examines the aging of individual electrodes and highlights the substantial contribution of silicon loss in the negative electrode.
ELECTROCHIMICA ACTA
(2023)
Article
Chemistry, Physical
Antonis Vamvakeros, Dorota Matras, Thomas E. Ashton, Alan A. Coelho, Hongyang Dong, Dustin Bauer, Yaroslav Odarchenko, Stephen W. T. Price, Keith T. Butler, Olof Gutowski, Ann-Christin Dippel, Martin von Zimmerman, Jawwad A. Darr, Simon D. M. Jacques, Andrew M. Beale
Summary: Synchrotron high-energy X-ray diffraction computed tomography has been employed to investigate the cycling performance of commercial cylindrical Li-ion batteries for the first time, showing its potential in detecting internal battery structure and chemical composition.
Article
Chemistry, Physical
Wenjia Du, Rhodri E. Owen, Anmol Jnawali, Tobias P. Neville, Francesco Iacoviello, Zhenyu Zhang, Sebastien Liatard, Daniel J. L. Brett, Paul R. Shearing
Summary: Gas generation within Li-ion batteries can reduce their cycle lifetime, and high-energy X-ray tomography can be used to study gas evolution and structural changes non-destructively. Observations on deformation caused by gas agglomeration and quantification of gas distribution provide insights into cell degradation mechanisms.
JOURNAL OF POWER SOURCES
(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
Optics
N. Joshi, M. Niranjan, A. Pandey, Olivier Dulieu, Robin Cote, S. A. Rangwala
Summary: We present a theoretical framework for homonuclear, ground-state ion-atom collisions, discussing the indistinguishability of direct elastic and resonant charge exchange scattering channels. The total cross section(sigma(tot)) is derived and used to resolve the inconsistency between low-energy diffusion cross section(sigma(D)) and high-energy approximations. The equivalence relation between sigma(D) and 2 x (sigma) over tilde (ce) is also discussed. Specific calculations for an Li+-Li system illustrate the differences in cross sections commonly used in ion-atom collision descriptions. The use of sigma(tot) is advocated as a correct and consistent representation of cross sections.
Review
Chemistry, Physical
Xin Cao, Yu Qiao, Min Jia, Ping He, Haoshen Zhou
Summary: This study reviews the potential application of Li-rich and Li-excess oxides as cathode materials for next-generation Li-ion batteries, discusses the challenges in using Li-excess oxides, and explores mechanisms to address these issues. Future research directions in the field are also proposed based on advanced characterizations and theory calculations.
ADVANCED ENERGY MATERIALS
(2022)
Article
Energy & Fuels
Daniela Galatro, David A. Romero, Juan A. Freitez, Carlos Da Silva, Olivier Trescases, Cristina H. Amon
Summary: This study proposes a statistical method for modeling the degradation of lithium-ion batteries using a 3-parameter non-homogeneous Gamma process, which can predict capacity fade or time-to-failure and adjust data distributions based on acceleration factors. Cells at the pack level are modeled with compositions of Gamma-distributed variables, and a methodology for estimating the minimum number of cells needed to reduce computational costs is presented.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Electrochemistry
Philipp Dechent, Samuel Greenbank, Felix Hildenbrand, Saad Jbabdi, Dirk Uwe Sauer, David A. Howey
Summary: This study investigated the ageing effects of lithium-ion batteries using empirical models, revealing that at least 9-13 cells need to be tested to accurately represent overall variability.
BATTERIES & SUPERCAPS
(2021)
Article
Chemistry, Physical
C. Gervillie-Mouravieff, L. Albero Blanquer, C. Alphen, Jiaqiang Huang, J. -M. Tarascon
Summary: In this study, temperature data were collected using optical fiber Bragg grating sensors placed inside commercial pouch cells, allowing for monitoring the heat release during the formation cycles and real-driving cycling. The research provides insights into the contribution of the anode and the impact of additives on overall heat generation, as well as a comparison of the heat generation of NMC-based batteries under varying power and voltage levels. Continuous monitoring of battery heat release throughout its lifespan enhances our understanding of interconnected materials surfaces and electrolyte reactions.
JOURNAL OF POWER SOURCES
(2023)
Article
Electrochemistry
Emanuele Gucciardi, Francesco Torre, Maria A. Cabanero, Laura Oca, Emilie Bekaert
Summary: The deposition of metallic lithium, known as lithium plating, is a degradation mechanism that can occur at the negative electrode surface of Li-ion battery cell, especially during fast charging, low temperature charging, and high state of charge. This can lead to irreversible capacity fade and safety hazards. Experimental quantification of plated lithium can validate electrochemical and physical models for predicting plated lithium without cell opening, as well as evaluate the safety and aging of commercial cells for specific applications. This work presents a fast and cost-effective method to quantify plated lithium on commercial Li-ion battery graphite electrodes.
ELECTROCHEMISTRY COMMUNICATIONS
(2023)
Article
Energy & Fuels
George Baure, Matthieu Dubarry
Article
Chemistry, Physical
D. Ansean, G. Baure, M. Gonzalez, I Camean, A. B. Garcia, M. Dubarry
JOURNAL OF POWER SOURCES
(2020)
Article
Energy & Fuels
George Baure, Matthieu Dubarry
JOURNAL OF ENERGY STORAGE
(2020)
Article
Chemistry, Physical
Matthieu Dubarry, David Beck
JOURNAL OF POWER SOURCES
(2020)
Article
Energy & Fuels
Matthieu Dubarry, David Beck
Summary: This study introduces improved datasets for three major battery chemistries, which can be utilized for statistical or deep learning methods, along with a detailed statistical analysis. By incorporating the combined information of three learnable parameters, accurate diagnosis and early prognosis comparable to state of the art, while providing physical interpretability, were demonstrated.
Review
Energy & Fuels
David Beck, Philipp Dechent, Mark Junker, Dirk Uwe Sauer, Matthieu Dubarry
Summary: Battery degradation is a major concern in battery research, with challenges in maintaining performance and safety during usage. Variations and inhomogeneities between cells can have significant impacts on electrochemical performance, and various methods are used to characterize and track these effects.
Article
Computer Science, Information Systems
Matthieu Dubarry, Moe Tun, George Baure, Marc Matsuura, Richard E. Rocheleau
Summary: Grid-tied energy storage systems, particularly those based on Li-ion batteries with lithium titanate negative electrodes, are crucial for reducing carbon emissions. This study demonstrates that a lithium titanate-based battery energy storage system can maintain capacity below 10% after seven years of usage on an isolated island grid, with a projected lifetime exceeding 15 years. However, inaccuracies in the online capacity estimation methodology were identified, complicating system monitoring.
Review
Electrochemistry
Peter M. Attia, Alexander Bills, Ferran Brosa Planella, Philipp Dechent, Goncalo dos Reis, Matthieu Dubarry, Paul Gasper, Richard Gilchrist, Samuel Greenbank, David Howey, Ouyang Liu, Edwin Khoo, Yuliya Preger, Abhishek Soni, Shashank Sripad, Anna G. Stefanopoulou, Valentin Sulzer
Summary: This article reviews the phenomenon of "knees" in the aging trajectories of lithium-ion batteries and discusses their pathways, key design and usage sensitivities, as well as the challenges and opportunities for knee modeling and prediction.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Energy & Fuels
N. Costa, L. Sanchez, D. Ansean, M. Dubarry
Summary: This study proposes a new method for battery degradation diagnosis based on the representation of battery data as images. Experimental results show that this method outperforms current methodologies in accuracy and is adaptable to different types of batteries.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Matthieu Dubarry, David Howey, Billy Wu
Summary: Digital twins are cyber-physical systems that integrate real-time sensor data and models for accurate predictions and optimal decisions in specific assets. In the case of batteries, this concept has been applied at different scales. However, a comprehensive approach is needed for battery digital twins to achieve their full potential in industrial settings. Standardized and transparent data sharing, as well as principled methods to quantify and propagate uncertainty, are essential. Physical modeling and sensing approaches for battery manufacturing and thermal runaway also need improvement.
Article
Electrochemistry
Matthieu Dubarry, Vishal Agrawal, Martin Hueske, Matthias Kuipers
Summary: In the past fifteen years, multiple mechanistic model frameworks have been developed to quantify the loss of lithium inventory and active materials. These frameworks usually involve capacity/state of charge or lithiation-based matching for the electrodes. However, this study reveals that when applied to materials that are not fully delithiated, these approaches are not equivalent due to their different treatment of inaccessible lithium. This article explains the discrepancies and proposes new equations to enhance both types of frameworks.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Multidisciplinary Sciences
Matthieu Dubarry, Nahuel Costa, Dax Matthews
Summary: To address the challenge of diagnosing photovoltaics-connected Li-ion batteries, the authors propose a diagnostic methodology that utilizes machine learning algorithms trained on data from the photovoltaic charging process. This approach effectively reduces the diagnostic error by directly utilizing the data from the charging process.
NATURE COMMUNICATIONS
(2023)
Article
Electrochemistry
Matthieu Dubarry, Fahim Yasir, Nahuel Costa, Dax Matthews
Summary: This work presents a new methodology for diagnosing PV-connected batteries without the need for maintenance cycles. It uses a 1-dimensional convolutional neural network trained on clear sky irradiance model output and validated on observed irradiances for synthetic battery data. The analysis covers sky conditions, degradation composition, and degradation extent. Results show that diagnosis with an average RMSE of 1.75% is achievable for days with over 50% clear sky or average irradiance over 650 W/m(2), regardless of degradation composition and extent.
Article
Chemistry, Multidisciplinary
Matthieu Dubarry, David Beck
Summary: The mechanistic modeling approach has gained significant traction in the field of lithium-ion battery diagnosis and prognosis in the past decade. It relies on assembling digital twins to replicate the degradation modes and enables material-based diagnosis and prognosis without the need for complex models. This approach has proven to be versatile and effective in studying degradation mechanisms and predicting battery performance.
ACCOUNTS OF MATERIALS RESEARCH
(2022)
Article
Chemistry, Physical
Olivier Rynne, Matthieu Dubarry, Corentin Molson, Eva Nicolas, David Lepage, Arnaud Prebe, David Ayme-Perrot, Dominic Rochefort, Mickael Dolle
ACS APPLIED ENERGY MATERIALS
(2020)