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The widely used Doyler-Fuller-Newman (DFN) model for lithium-ion batteries is too computationally expensive for certain applications, which has motivated the appearance of a plethora of simpler models. These models are usually posed in an…

化学物理 · 物理学 2021-05-03 Ferran Brosa Planella , Muhammad Sheikh , W. Dhammika Widanage

Battery degradation, which is the reduction of performance over time, is one of the main roadblocks to the wide deployment of lithium-ion batteries. Physics-based models, such as those based on the Doyle-Fuller-Newman model, are invaluable…

化学物理 · 物理学 2023-06-06 Ferran Brosa Planella , W. Dhammika Widanage

A derivation of the single particle model (SPM) is made from a porous electrode theory model (or Newman model) of half-cell (dis)charge for an electrode composed of uniformly sized spherical electrode particles of a single chemistry. The…

化学物理 · 物理学 2019-07-23 G. Richardson , I. Korotkin , R. Ranom. M. Castle , J. M. Foster

The Doyle-Fuller-Newman framework is the most popular physics-based continuum-level description of the chemical and dynamical internal processes within operating lithium-ion-battery cells. With sufficient flexibility to model a wide range…

The Single-Particle Model (SPM) of Li ion cell \cite{Santhanagopalan06, Guo2011} is a computationally efficient and fairly accurate model for simulating Li ion cell cycling behavior at weak to moderate currents. The model depends on a large…

计算物理 · 物理学 2019-12-13 Michael Khasin , Chetan S. Kulkarni , Kai Goebel

Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their design and management. Different model fidelity, and thus…

The DFN (Doyle-Fuller-Newman) model is well know for being accurate and computationally expensive. In situations where temperature gradients are important (eg fast charging) it is desirable to couple the temperature dynamics within a…

化学物理 · 物理学 2022-08-11 Matthew Hunt , Florian Theil , Ferran Brosa Planella , W. Dhammika Widanage

The Doyle-Fuller-Newman (DFN) model is a common mechanistic model for lithium-ion batteries. The reaction rate constant and diffusivity within the DFN model are key parameters that directly affect the movement of lithium ions, thereby…

系统与控制 · 电气工程与系统科学 2025-04-15 Marc D. Berliner , Minsu Kim , Xiao Cui , Vivek N. Lam , Patrick A. Asinger , Martin Z. Bazant , William C. Chueh , Richard D. Braatz

This paper investigates the identifiability and estimation of the parameters of the single particle model (SPM) for lithium-ion battery simulation. Identifiability is addressed both in principle and in practice. The approach begins by…

系统与控制 · 计算机科学 2018-10-03 Adrien M. Bizeray , Jin-Ho Kim , Stephen R. Duncan , David A. Howey

The rapid spread of Lithium-ions batteries (LiBs) for electric vehicles calls for the development of accurate physical models for Battery Management Systems (BMSs). In this work, the electrochemical Single Particle Model (SPM) for a…

系统与控制 · 电气工程与系统科学 2023-11-30 Andrea Trivella , Matteo Corno , Stefano Radrizzani , Sergio M. Savaresi

Thermal electrochemical models for porous electrode batteries (such as lithium ion batteries) are widely used. Due to the multiple scales involved, solving the model accounting for the porous microstructure is computationally expensive,…

化学物理 · 物理学 2020-04-14 Matthew J. Hunt , Ferran Brosa Planella , Florian Theil , W. Dhammika Widanage

Lithium-ion batteries are widely used in transportation, energy storage, and consumer electronics, driving the need for reliable battery management systems (BMS) for state estimation and control. The Single Particle Model (SPM) balances…

系统与控制 · 电气工程与系统科学 2025-05-28 Feng Guo , Luis D. Couto

The Doyle-Fuller-Newman model is arguably the most ubiquitous electrochemical model in lithium-ion battery research. Since it is a highly nonlinear model, its input-output relations are still poorly understood. Researchers therefore often…

Advanced battery management systems rely on mathematical models to guarantee optimal functioning of Lithium-ion batteries. The Pseudo-Two Dimensional (P2D) model is a very detailed electrochemical model suitable for simulations. On the…

系统与控制 · 计算机科学 2019-10-01 Andrea Pozzi , Gabriele Ciaramella , Stefan Volkwein , Davide M. Raimondo

This study evaluates numerical discretization methods for the Single Particle Model (SPM) used in electrochemical modeling. The methods include the Finite Difference Method (FDM), spectral methods, Pad\'e approximation, and parabolic…

系统与控制 · 电气工程与系统科学 2025-06-03 Feng Guo , Luis D. Couto

This paper presents a novel battery modeling framework based on the enhanced single particle model (ESPM) to account for degradation mechanisms of second-life batteries. While accounting for the transport and electrochemical phenomena in…

系统与控制 · 电气工程与系统科学 2021-08-19 Gabriele Pozzato , Seong Beom Lee , Simona Onori

The single particle model (SPM) is a reduced electrochemical model that holds promise for applications in battery management systems due to its ability to accurately capture battery dynamics; however, the numerical discretization of the SPM…

系统与控制 · 电气工程与系统科学 2024-10-11 Joseph N. E. Lucero , Le Xu , Simona Onori

In mathematical models of lithium-ion batteries, the highly heterogeneous porous electrodes are frequently approximated as comprising spherical particles of uniform size, leading to the commonly-used single-particle model (SPM) when…

应用物理 · 物理学 2020-06-24 Toby L. Kirk , Jack Evans , Colin P. Please , S. Jonathan Chapman

In the lithium-ion battery literature, discharges followed by a relaxation to equilibrium are frequently used to validate models and their parametrizations. Good agreement with experiment during discharge is easily attained with a…

化学物理 · 物理学 2021-04-27 Toby Kirk , Colin P. Please , S. Jon Chapman

The physics-based Doyle-Fuller-Newman (DFN) model, widely adopted for its precise electrochemical modeling, stands out among various simulation models of lithium-ion batteries (LIBs). Although the DFN model is powerful in forward predictive…

计算工程、金融与科学 · 计算机科学 2025-04-30 Weipeng Xu , Kaiqi Yang , Yuzhi Zhang , Shichao Sun , Sheng Mao , Tianju Xue
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