Article
Chemistry, Multidisciplinary
Chao Huang, Zou-Qiang Fang, Zhi-Jie Wang, Jian-Wei Zhao, Shi-Xi Zhao, Li-Jie Ci
Summary: Li-rich high-Mn material Li1.7Mn0.8Co0.1Ni0.1O2.7 (HM-811) showed improved electrochemical performance with morphology regulation and LiAlF4 coating, providing a new approach for developing high performance cathode materials for next-generation Li-ion batteries.
Article
Energy & Fuels
Guangfeng Wang, Naxin Cui, Changlong Li, Zhongrui Cui, Haitao Yuan
Summary: This paper proposes a method for estimating the state of health (SOH) of lithium-ion batteries based on incremental capacity analysis, considering the influence of charging/discharging rates for more accurate estimation. Additionally, a method for quickly obtaining a smooth IC curve is developed, enabling online processing of high-frequency sampling data. Validation results show that the SOH estimation errors are within 3% for batteries at different aging levels.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Chemistry, Physical
Jarred Z. Olson, Carmen M. Lopez, Edmund J. F. Dickinson
Summary: Differentiation of a Li-ion battery cycling profile results in a pair of complementary measures, differential capacity and differential voltage, which are used to diagnose cell state and aging mechanisms. This article presents a fundamental theory of differential analysis from single electrode measurements to full cell data, considering cell balancing and degradation. The new approach uses a graphical heuristic to superimpose voltage and capacity data on a 2D representation of the cell state, harmonizing various complementary approaches from existing literature.
CHEMISTRY OF MATERIALS
(2023)
Article
Chemistry, Inorganic & Nuclear
Zhi-Liang Wu, Hanjie Xie, Yingzhi Li, Fangchang Zhang, Zhenyu Wang, Wei Zheng, Mingyang Yang, Yulin Cao, Zhouguang Lu
Summary: Through the investigation with in situ Raman spectroscopy, XANES spectroscopy, and HRTEM, it was found that the voltage-fading mechanism of Li-rich materials is nearly reversible in the whole charge-discharge cycle but becomes irreversible upon long-term cycling, leading to structural collapse and undesirable voltage fading. This finding is significant for a better understanding of the redox reaction mechanisms of high-capacity Li-rich cathodes.
INORGANIC CHEMISTRY FRONTIERS
(2021)
Review
Chemistry, Physical
Alexis Geslin, Bruis van Vlijmen, Xiao Cui, Arjun Bhargava, Patrick A. Asinger, Richard D. Braatz, William C. Chueh
Summary: Considering use cases and selecting the right features are crucial in developing battery lifetime prediction models. Prediction of cell-to-cell variability between identically cycled cells requires features that are not reliant on cycling conditions. While features encoding cycling conditions can boost model accuracy, they may lead to reduced transferability on identically cycled cells.
Article
Chemistry, Physical
Yuxin Chen, Loraine Torres-Castro, Kuan-Hung Chen, Daniel Penley, Joshua Lamb, Mohan Karulkar, Neil P. Dasgupta
Summary: In this study, incremental capacity analysis was applied to investigate lithium plating during charging process. The results showed the correlation between lithium plating and specific IC peak, and demonstrated the applicability of IC analysis in studying lithium plating in novel cell architectures.
JOURNAL OF POWER SOURCES
(2022)
Article
Electrochemistry
Jici Wen, Qingrong Zou, Chunguang Chen, Yujie Wei
Summary: State-of-Health (SoH) evaluation plays a crucial role in the health management of commercial Li-ion batteries and has been extensively studied. This paper proposes an analysis method based on partial (dis)charge and a sliding voltage window, which allows for a quick and non-destructive assessment of SoH with high accuracy. The slope (k) and the extrapolated interception (Delta S1oC) at SoH=1 can be used to differentiate the remaining life of batteries with the same SoH. This method provides a linear and on-site approach for battery health management.
ELECTROCHIMICA ACTA
(2022)
Article
Chemistry, Physical
Saurabh Saxena, Logan Ward, Joseph Kubal, Wenquan Lu, Susan Babinec, Noah Paulson
Summary: In this study, a convolutional neural network model is used to predict the battery capacity fade curve using the first 100 cycles of data. The network can automatically extract features and predict the capacity fade rate per cycle and the rollover cycle in the capacity fade curve, providing early prediction of battery performance degradation.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Samppa Jenu, Ari Hentunen, Jari Haavisto, Mikko Pihlatie
Summary: Incremental capacity analysis (ICA) and integrated voltage (IV) methods were both investigated for Li-ion battery state of health (SOH) estimation, using partial charging data. ICA method showed an accuracy of 0.9-2.1% (RMSE) with C/3 charging for all studied cells, and similar accuracy with 1C and 2C charging currents for some cell types. IV method's accuracy was not as affected by increasing charging current as ICA method, with SOH estimation error remaining below 2.0% (RMSE) for all studied cell types at 2C charging.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Yajun Zhang, Yajie Liu, Jia Wang, Tao Zhang
Summary: This study proposes a novel method combining VC model and SVR for battery SOH estimation. The experimental results show that the SVR models achieve high accuracy in SOH estimation and are robust against different initial aging statuses and cycle conditions.
Article
Automation & Control Systems
Minho Kim, Soohee Han
Summary: Accurate capacity fade prediction of Li-ion batteries is crucial for reducing manufacturing time and ensuring battery safety and durability. The proposed mechanism-agnostic capacity fade empirical model, ADFM, can predict capacity fades for arbitrary battery input current trajectories without additional experiments, and can reflect real battery phenomena such as varying capacity fade for each cycle. The ADFM augmented with Bayesian neural networks (BNNs) can generate synthetic data efficiently and provide reliable capacity fade predictions.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Dong Luo, He Zhu, Yi Xia, Zijia Yin, Yan Qin, Tianyi Li, Qinghua Zhang, Lin Gu, Yong Peng, Junwei Zhang, Kamila M. Wiaderek, Yalan Huang, Tingting Yang, Yu Tang, Si Lan, Yang Ren, Wenquan Lu, Christopher M. Wolverton, Qi Liu
Summary: A composite structure of lithium-rich materials can effectively mitigate the problem of voltage decay during cycling, improving the performance of Li-ion batteries.
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
Chemistry, Physical
Jochen Stadler, Carsten Krupp, Madeleine Ecker, Jochen Bandlow, Bernd Spier, Arnulf Latz
Summary: In this study, 60 large format automotive-grade lithium-ion pouch cells with graphite/NMC chemistry were tested to analyze the aging factors affecting cyclic capacity fade. The results showed that temperature and the ratio between charge depleting and charge sustaining cycling had the greatest impact on cyclic aging, while charging power had little effect. The study emphasized the importance of considering interdependencies between aging factors for modeling purposes.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Wenjie Pan, Xuesong Luo, Maotao Zhu, Jia Ye, Lihong Gong, Hengjun Qu
Summary: Accurate estimation of lithium battery capacity and remaining useful life is crucial for increasing the penetration of electric vehicles. This study proposes a method for extracting and optimizing health indicators using incremental capacity curves, with a focus on reducing overfitting and improving reliability. Experimental results demonstrate the effectiveness of the approach in improving battery capacity estimation accuracy and robustness.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
G. Veitiz, M. Oyarbide, H. Macicior, O. Miguel, I. Cantero, P. Fernandez de Arroiabe, I. Ulacia
JOURNAL OF POWER SOURCES
(2014)
Article
Thermodynamics
M. Arrinda, M. Berecibar, M. Oyarbide, H. Macicior, E. Muxika, M. Messagie
Article
Energy & Fuels
Mikel Arrinda, Gorka Vertiz, Denis Sanchez, Aitor Makibar, Haritz Macicior
Summary: The control of the battery-thermal-management-system (BTMS) is key in ensuring safety and long lifespans of batteries. This paper proposes a surrogate BTMS control model using a classification machine-learning model to optimize the cooling-heating power of the actuator. The results show that the proposed model has significantly lower energy consumption compared to traditional controllers when dealing with multi-input and multi-objective systems.
Article
Mathematics, Applied
P. Venegas, D. Gomez, M. Arrinda, M. Oyarbide, H. Macicior, A. Bermudez
Summary: The goal of this work is to include a hysteresis model in the classical equivalent circuit model for a battery system and improve the estimation of the state of charge by applying the Extended Kalman Filter. The model is assessed with laboratory experiments on a lithium-ion battery, showing good reproduction of hysteresis and high computational efficiency. This method is suitable for real-time embedded battery management system applications and adaptable to any battery type.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Mikel Arrinda, Denis Sanchez, Mikel Oyarbide, Haritz Macicior, Ander Zubiria
Summary: This article introduces the concept of a metastate, called State of Warranty (SOW), to qualitatively describe the warranty fulfillment level of electric vehicles. The SOW synthesizes all relevant warranty information into a single merit while maintaining detailed information through qualitative substates. The SOW is calculated using a rule-based logic of an expert system, which evaluates the quantitative value of three substates: remaining warranty, remaining health, and remaining useful warranty.
WORLD ELECTRIC VEHICLE JOURNAL
(2022)
Article
Electrochemistry
Mikel Arrinda, Mikel Oyarbide, Haritz Macicior, Enaut Muxika
Summary: This paper proposes a unified evaluation framework for stochastic tools, including existing quantitative and qualitative metrics as well as innovative guidelines. The framework focuses on addressing the impact of input uncertainty, parametrization methods, and uncertainty propagation methods on algorithm performance. Applied to a Lithium-ion battery Remaining Useful Life prognosis problem, the results show that the framework provides enough details to make decisions regarding the viability of the chosen algorithm.
Article
Electrochemistry
Mikel Arrinda, Mikel Oyarbide, Haritz Macicior, Enaut Muxika, Hartmut Popp, Marcus Jahn, Boschidar Ganev, Iosu Cendoya
Summary: The paper proposes a systematic methodology to accurately describe the end-of-life event of the battery system of an electric vehicle by defining health indicators, evaluating application specifications and battery characteristics, and designing a simulation environment to calculate the end-of-life threshold. The study shows that commonly assumed end-of-life thresholds could lead to significant under or overestimations of lifespan.
Article
Engineering, Electrical & Electronic
Hartmut Popp, Ningxin Zhang, Marcus Jahn, Mikel Arrinda, Simon Ritz, Matthias Faber, Dirk Uwe Sauer, Philippe Azais, Iosu Cendoya
ELEKTROTECHNIK UND INFORMATIONSTECHNIK
(2020)
