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Efficient and accurate remaining useful life prediction is a key factor for reliable and safe usage of lithium-ion batteries. This work trains a long short-term memory recurrent neural network model to learn from sequential data of…

Machine Learning · Computer Science 2022-07-11 Pengcheng Xu , Yunfeng Lu

Battery degradation modes influence the aging behavior of Li-ion batteries, leading to accelerated capacity loss and potential safety issues. Quantifying these aging mechanisms poses challenges for both online and offline diagnostics in…

Signal Processing · Electrical Eng. & Systems 2024-12-16 Yuanhao Cheng , Hanyu Bai , Yichen Liang , Xiaofan Cui , Weiren Jiang , Ziyou Song

The reliability and safety of Lithium-ion batteries (LiBs) are of great concern in the energy storage industry. Nevertheless, the real-time monitoring of their degradation remains challenging due to limited quantitative metrics available…

A significant problem associated with batteries is the rapid reduction of charge-storage capacity with increasing charge/discharge rate. For example, improving this rate-performance is required for fast-charging of car batteries.…

The kinetic battery model is a popular model of the dynamic behavior of a conventional battery, useful to predict or optimize the time until battery depletion. The model however lacks certain obvious aspects of batteries in-the-wild,…

Systems and Control · Computer Science 2016-08-07 Holger Hermanns , Jan Krčál , Gilles Nies

This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation when multiple cells are connected in parallel, using only terminal voltage and total current measurements. For battery…

Systems and Control · Electrical Eng. & Systems 2020-11-11 Dong Zhang , Luis D. Couto , Sebastien Benjamin , Wente Zeng , Daniel F. Coutinho , Scott J. Moura

A formulation is presented to efficiently model ionic conduction inside, i.e. across and along, grain boundaries. Efficiency and accuracy is achieved by reducing it to a two-dimensional manifold while guaranteeing the conservation of mass…

Chemical Physics · Physics 2024-01-15 Stephan Sinzig , Christoph P. Schmidt , Wolfgang A. Wall

An isothermal porous-electrode model of a discharging lead-acid battery is presented, which includes an extension of concentrated-solution theory that accounts for excluded-volume effects, local pressure variation, and a detailed…

Chemical Physics · Physics 2020-06-05 Valentin Sulzer , S. Jon Chapman , Colin P. Please , David A. Howey , Charles W. Monroe

Heterogeneities in lithium ion batteries can be significant factors in electrode under utilisation and degradation while charging. Bilayer electrodes have been proposed as a convenient and scalable way to homogenise the electrode response.…

Dynamical Systems · Mathematics 2025-11-11 E. C. Tredenick , A. M. Boyce , R. Drummond , S. R. Duncan

Accurately predicting the state of charge of Lithium-ion batteries is essential to the performance of battery management systems of electric vehicles. One of the main reasons for the slow global adoption of electric cars is driving range…

Systems and Control · Electrical Eng. & Systems 2024-10-23 Hadeel Aboueidah , Abdulrahman Altahhan

In this report, future performance demands of batteries for various vehicular applications are modeled. Vehicles ranging in size from electric bikes to heavy trucks are assessed using driving cycle data which allows key performance…

Materials Science · Physics 2016-06-22 Gorazd Lampic , Gorazd Gotovac , Hugh Geaney , Colm O'Dwyer

Health evaluation for lithium-ion batteries (LIBs) typically relies on constant charging/discharging protocols, often neglecting scenarios involving dynamic current profiles prevalent in electric vehicles. Conventional health indicators for…

Machine Learning · Computer Science 2025-03-12 J. C. Chen

A nonequilibrium thermodynamic model is presented for the nonisothermal lithium-ion battery cell. Coupling coefficients, all significant for transport of heat, mass, charge and chemical reaction, were used to model profiles of temperature,…

Chemical Physics · Physics 2024-11-25 Felix Schloms , Øystein Gullbrekken , Signe Kjelstrup

The reliability, lower computational complexity, and ease of implementation of control observers make them one of the most promising methods for the state estimation of Li-ion batteries (LIBs) in commercial applications. To pave their way,…

Systems and Control · Electrical Eng. & Systems 2024-12-03 Muhammad Saeed , Arash Khalatbarisoltani , Zhongwei Deng , Wenxue Liu , Faisal Altaf , Shuai Lu , Xiaosong Hu

Battery prognostics and health management predictive models are essential components of safety and reliability protocols in battery management system frameworks. Overall, developing a robust and efficient battery model that aligns with the…

Data Analysis, Statistics and Probability · Physics 2022-12-05 Hamed Sadegh Kouhestani , Lin Liu , Ruimin Wang , Abhijit Chandra

In this work we analyse the local nonlinear electrochemical impedance spectroscopy (NLEIS) response of a lithium-ion battery and estimate model parameters from measured NLEIS data. The analysis assumes a single-particle model including…

Chemical Physics · Physics 2023-04-24 T. L. Kirk , A. Lewis-Douglas , D. A. Howey , C. P. Please , S. J. Chapman

The complex electrochemical behavior of lithium-ion batteries results in non-linear dynamics and appropriate modeling of this non-linear dynamical system is of interest for better management and control. In this work, we proposed a family…

Systems and Control · Electrical Eng. & Systems 2026-02-25 Khalid Mahmud Labib , Shabbir Ahmed

We consider the mathematical treatment of a system of nonlinear partial differential equations based on a model, proposed in 1972 by J. Newman, in which the coupling between the Lithium concentration, the phase potentials and temperature in…

Analysis of PDEs · Mathematics 2022-02-23 Jesús Ildefonso Díaz , David Gómez-Castro , Angel Manuel Ramos

Advanced battery management is to lithium-ion battery systems as the brain is to the human body. Its performance rests on the use of battery models that are both fast and accurate. However, mainstream equivalent circuit models and…

Systems and Control · Electrical Eng. & Systems 2022-11-14 Nikhil Biju , Huazhen Fang

Accurately predicting the future health of batteries is necessary to ensure reliable operation, minimise maintenance costs, and calculate the value of energy storage investments. The complex nature of degradation renders data-driven…

Applications · Statistics 2020-06-05 Robert R. Richardson , Michael A. Osborne , David A. Howey
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