Review of models for predicting the cycling performance of lithium ion batteries

Santhanagopalan, Shriram; Guo, Qingzhi; Ramadass, Premanand; White, Ralph E.

doi:10.1016/j.jpowsour.2005.05.070

Cited by 691 publications

(497 citation statements)

References 20 publications

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“…There have been many previous studies on modeling LIBs, and reviews of LIB models are available in references [15][16][17]. Doyle et al [18] developed a one-dimensional model for a LIB derived from a porous electrode and concentrated solution theory.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Lee

Shin

et al. 2013

Energies

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This paper reports a modeling methodology to predict the effects on the discharge behavior of the cathode composition of a lithium iron phosphate (LFP) battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. A one-dimensional model based on a finite element method is presented to calculate the cell voltage change of a LFP battery cell during galvanostatic discharge. To test the validity of the modeling approach, the modeling results for the variations of the cell voltage of the LFP battery as a function of time are compared with the experimental measurements during galvanostatic discharge at various discharge rates of 0.1C, 0.5C, 1.0C, and 2.0C for three different compositions of the LFP cathode. The discharge curves obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the cathode composition on the discharge behavior of a LFP battery cell are estimated. The modeling results exhibit highly nonlinear dependencies of the discharge behavior of a LFP battery cell on the discharge C-rate and cathode composition.

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Section: Introductionmentioning

confidence: 99%

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Lee

Shin

et al. 2013

Energies

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“…The P2D Li-ion battery model, based on principles of transport phenomena, electrochemistry and thermodynamics, is the accepted model within the battery research community [18]. It solves for the electrolyte concentration, electrolyte potential, solid-state potential, and solid-state concentration within the porous electrodes and the electrolyte concentration and electrolyte potential within the separator.…”

Section: Pseudo Two-dimensional Model Formulationmentioning

confidence: 99%

“…The diffevol algorithm is the Maple implementation of DE innovated by Storn and Price [17,18]. While traditional optimization methods such as the quasi-newton method requires the optimization problem to be differentiable, DE does not use the gradient function of the problem being optimized and therefore is more suitable for optimization problems that are variable, noisy and non-continuous.…”

Section: Optimisation Strategymentioning

confidence: 99%

Characterising Lithium-Ion Battery Degradation through the Identification and Tracking of Electrochemical Battery Model Parameters

Perera²,

et al. 2016

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Lithium-ion (Li-ion) batteries undergo complex electrochemical and mechanical degradation. This complexity is pronounced in applications such as electric vehicles, where highly demanding cycles of operation and varying environmental conditions lead to non-trivial interactions of ageing stress factors. This work presents the framework for an ageing diagnostic tool based on identifying and then tracking the evolution of model parameters of a fundamental electrochemistry-based battery model from non-invasive voltage/current cycling tests. In addition to understanding the underlying mechanisms for degradation, the optimisation algorithm developed in this work allows for rapid parametrisation of the pseudo-two dimensional (P2D), Doyle-Fuller-Newman, battery model. This is achieved through exploiting the embedded symbolic manipulation capabilities and global optimisation methods within MapleSim. Results are presented that highlight the significant reductions in the computational resources required for solving systems of coupled non-linear partial differential equations.

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“…[4][5][6][7] In the SP model, each electrode is represented by a single spherical particle and lithium-ion (Li + ) diffusion in the electrolyte is not taken into account. In spite of having less computational load than the P2D model, the SP model can simulate the output voltage as well as the heat generation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Modified Single-Particle Model for Composite Cathode at High-Rate Discharge

2016

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In order to simulate high-rate discharge behavior of lithium-ion batteries with composite cathode materials, we applied a single-particle model to each cathode material. In the model, we also included the lithium-ion concentration distribution within the electrolyte to calculate the potential profiles in the liquid phase as well as the temperature dependence of both the diffusion behavior of lithium-ions and the charge-transfer rate constant at the solid-electrolyte interface. The potential responses under high-rate discharge were successfully simulated. In this model, the molar flux of each cathode material was determined under the condition that the closed circuit potential of each single-particle should be equal, and the potential distribution in the electrolyte was calculated using a parabolic lithium-ion concentration. The use of approximate analytical solutions for the diffusion equations enabled the reduction of computational time. The validity of the model was confirmed by the experiments using a half-cell of the composite cathode.

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Review of models for predicting the cycling performance of lithium ion batteries

Cited by 691 publications

References 20 publications

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Characterising Lithium-Ion Battery Degradation through the Identification and Tracking of Electrochemical Battery Model Parameters

Feasibility Study of Modified Single-Particle Model for Composite Cathode at High-Rate Discharge

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