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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

Lithium-ion batteries are increasingly being deployed in liberalised electricity systems, where their use is driven by economic optimisation in a specific market context. However, battery degradation depends strongly on operational profile,…

Systems and Control · Electrical Eng. & Systems 2021-03-15 Jorn M. Reniers , Grietus Mulder , David A. Howey

Porous flow-through electrodes are used as the core reactive component across electrochemical technologies. Controlling the fluid flow, species transport, and reactive environment is critical to attaining high performance. However,…

This work optimizes a lithium-ion battery charging schedule while considering a joint revenue and battery degradation model. The study extends the work of Meheswari et. al. to encourage battery usage/charging at optimal intervals depending…

Optimization and Control · Mathematics 2022-06-01 Jacob Azoulay , Nico Carballal

This study presents a comprehensive Multiphysics model for zinc-ion batteries (ZIBs), incorporating electrochemical aspects. The model integrates the mass transport of Zn2+ ions, charge transfer, and solid diffusion to predict performance…

Materials Science · Physics 2025-05-06 Roya Rajabi , Shichen Sun , Booker Wu , Jamil Khan , Kevin Huang

Computational modeling of the manufacturing process of Lithium-Ion Battery (LIB) composite electrodes based on mechanistic approaches, allows predicting the influence of manufacturing parameters on electrode properties. However, ensuring…

The degradation process of lithium-ion batteries is intricately linked to their entire lifecycle as power sources and energy storage devices, encompassing aspects such as performance delivery and cycling utilization. Consequently, the…

Machine Learning · Computer Science 2023-08-16 Yue Xiang , Bo Jiang , Haifeng Dai

The proper disposal and repurposing of end-of-life electric vehicle batteries are critical for maximizing their environmental benefits. This study introduces a robust model predictive control (MPC) framework designed to optimize the battery…

Systems and Control · Electrical Eng. & Systems 2025-03-18 Meng Yuan , Adam Burman , Changfu Zou

This paper proposes a way to augment the existing machine learning algorithm applied to state-of-charge estimation by introducing a form of pulse injection to the running battery cells. It is believed that the information contained in the…

Signal Processing · Electrical Eng. & Systems 2019-09-06 Weizhong Wang , Nicholas W. Brady , Chenyao Liao , Youssef A. Fahmy , Ephrem Chemali , Alan C. West , Matthias Preindl

In this work, a stochastic, physics-based model for Lithium-ion batteries (LIBs) is presented in order to study the effects of parametric model uncertainties on the cell capacity, voltage, and concentrations. To this end, the proposed…

Computational Physics · Physics 2015-09-17 Mohammad Hadigol , Kurt Maute , Alireza Doostan

Accurate tracking of the internal electrochemical states of lithium-ion battery during cycling enables advanced battery management systems to operate the battery safely and maintain high performance while minimizing battery degradation. To…

Systems and Control · Electrical Eng. & Systems 2020-10-01 Sravan Pannala , Puneet Valecha , Peyman Mohtat , Jason B. Siegel , Anna G. Stefanopoulou

We consider basic and easily extendible transport formulations for lithium batteries consisting of an anode (Li-foil), a separator (polymer electrolyte), and a composite cathode (composed of electrolyte and intercalation particles). Our…

Applied Physics · Physics 2018-12-06 Jeta Molla , Markus Schmuck

Among the 'beyond Li-ion' battery chemistries, nonaqueous Li-O$_2$ batteries have the highest theoretical specific energy and as a result have attracted significant research attention over the past decade. A critical scientific challenge…

Density Functional Theory (DFT) calculations of electrode material properties in high energy density storage devices like lithium batteries have been standard practice for decades. In contrast, DFT modelling of explicit interfaces in…

Materials Science · Physics 2020-06-24 Kevin Leung

In this article, we derive and discuss a physics-based model for impedance spectroscopy of lithium batteries. Our model for electrochemical cells with planar electrodes takes into account the solid-electrolyte interphase (SEI) as porous…

Chemical Physics · Physics 2020-04-03 Fabian Single , Birger Horstmann , Arnulf Latz

Two dimensional materials show great potential for use in battery electrodes and are believed to be particularly promising for high-rate applications. However, there does not seem to be much hard evidence for the superior rate-performance…

Mesoscale and Nanoscale Physics · Physics 2019-12-06 Ruiyuan Tian , Madeleine Breshears , Dominik V Horvath , Jonathan N Coleman

Lithium titanium oxide Li$_4$Ti$_5$O$_{12}$ (LTO) is an intriguing anode material promising particularly long lived batteries, due to its remarkable phase stability during (dis)charging of the cell. However, its usage is limited by its low…

Materials Science · Physics 2020-01-03 Matthias Kick , Cristina Grosu , Markus Schuderer , Christoph Scheurer , Harald Oberhofer

Capacity and coulombic efficiency are often used to assess the performance of Li-ion batteries, under the assumption that these quantities can provide direct insights about the rate of electron consumption due to growth of the solid…

Chemical Physics · Physics 2022-11-11 Marco-Tulio Fonseca Rodrigues

Lithium-ion battery systems have been used in practical power systems for peak-shaving, demand response, and frequency regulation. However, a lithium-ion battery is degrading while cycling and would be scrapped when the capacity reduces to…

Signal Processing · Electrical Eng. & Systems 2020-06-16 Qingchun Hou , Yanghao Yu , Ershun Du , Hongjie He , Ning Zhang , Chongqing Kang , Guojing Liu , Huan Zhu

Accurate estimation of battery state of health is crucial for effective electric vehicle battery management. Here, we propose five health indicators that can be extracted online from real-world electric vehicle operation and develop a…

Machine Learning · Computer Science 2024-09-24 Andrea Lanubile , Pietro Bosoni , Gabriele Pozzato , Anirudh Allam , Matteo Acquarone , Simona Onori
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