A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells

Barai, Anup; Uddin, Kotub; Dubarry, Matthieu; Somerville, Limhi; McGordon, Andrew; Jennings, Paul; Bloom, Ira

doi:10.1016/j.pecs.2019.01.001

Cited by 216 publications

(209 citation statements)

References 276 publications

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“…If more rates are tested, the Peukert curve (capacity vs. rate) could be used as long as the rates are within the section with diffusion limitation (Figure 3a The second set of information to be gathered from the RPT is the OCV vs. SOC relationship at the current SOH. A discussion on OCV is out of the scope of this paper and can be found in [9,40]. The OCV vs. SOC relationship can vary a lot with aging and, since gathering a proper OCV vs. SOC curve can take weeks of testing [9], it is not feasible to repeat the process on every cell at each RPT.…”

Section: Reference Performance Testmentioning

confidence: 99%

“…It has to be stated that, as discussed in [9], a low-rate charge or discharge cannot be considered as OCV or pseudo-OCV curves as they are not independent of the regime. The pseudo-OCV curve can be calculated by averaging the low-rate charge and discharge curves [9,41,42]. This method is usually accurate, but it is highly recommended to check the validity of the results.…”

Section: Reference Performance Testmentioning

confidence: 99%

“…This is meant to provide newcomers and non-battery specialists some details, definitions, and explanations on how to perform simple and effective battery testing in order to improve validation studies. This publication does not aim to compare different approaches to testing protocols nor discuss the complex question of battery SOH, such discussions can be found in [9,10], respectively, but is intended to describe the Hawaii Natural Energy Institute (HNEI) methodology. In the past decade and a half, HNEI has been in the forefront of the development of methodologies to improve non-intrusive characterization of commercial lithium ion cells to extract maximum relevant information from minimum amount of testing and instrumentation.…”

Section: Introductionmentioning

confidence: 99%

“…Electronics 2020, 9, x FOR PEER REVIEW 2 of 17 The purpose of this publication is to complement [9,10] and describe, in more detail than typical publications, a testing strategy to address all these issues together. This is meant to provide newcomers and non-battery specialists some details, definitions, and explanations on how to perform simple and effective battery testing in order to improve validation studies.…”

Section: Introductionmentioning

confidence: 99%

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Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

Dubarry

Baure

2020

Electronics

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Validation is an integral part of any study dealing with modeling or development of new control algorithms for lithium ion batteries. Without proper validation, the impact of a study could be drastically reduced. In a perfect world, validation should involve testing in deployed systems, but it is often unpractical and costly. As a result, validation is more often conducted on single cells under control laboratory conditions. Laboratory testing is a complex task, and improper implementation could lead to fallacious results. Although common practice in open literature, the protocols used are usually too quickly detailed and important details are left out. This work intends to fully describe, explain, and exemplify a simple step-by-step single apparatus methodology for commercial battery testing in order to facilitate and standardize validation studies.

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Section: Reference Performance Testmentioning

confidence: 99%

Section: Reference Performance Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

Dubarry

Baure

2020

Electronics

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“…The working principle of the EIS brings challenges in the identification of the slow time-constant diffusion processes within liquid and solid [70], while a Warburg element may represent one out of three possible diffusion processes [50]. Other empirical approaches have proposed to model accurately and temperature depending the diffusion resistance with adding a proportional to the square root of time resistive element, dependent as well on the open circuit voltage V OC , instead of CPEs [71].…”

Section: Diffusion Resistancementioning

confidence: 99%

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

et al. 2019

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Md.Sazzad.Hosen@vub.be (M.S.H.); Mohsen.Akbarzadeh.Sokkeh@vub.be (M.A.S.); Shovon.Goutam@vub.be (S.G); Joris.Jaguemont@vub.be (J.J.); Maitane.Berecibar@vub.be (M.B.); Joeri.van.mierlo@vub.be (J.V.M.) 2 Flanders Make,Abstract: A lithium-ion battery cell's electrochemical performance can be obtained through a series of standardized experiments, and the optimal operation and monitoring is performed when a model of the Li-ions is generated and adopted. With discrete-time parameter identification processes, the electrical circuit models (ECM) of the cells are derived. Over their wide range, the dual-polarization (DP) ECM is proposed to characterize two prismatic cells with different anode electrodes. In most of the studies on battery modeling, attention is paid to the accuracy comparison of the various ECMs, usually for a certain Li-ion, whereas the parameter identification methods of the ECMs are rarely compared. Hence in this work, three different approaches are performed for a certain temperature throughout the whole SoC range of the cells for two different load profiles, suitable for light-and heavy-duty electromotive applications. Analytical equations, least-square-based methods, and heuristic algorithms used for model parameterization are compared in terms of voltage accuracy, robustness, and computational time. The influence of the ECMs' parameter variation on the voltage root mean square error (RMSE) is assessed as well with impedance spectroscopy in terms of Ohmic, internal, and total resistance comparisons. Li-ion cells are thoroughly electrically characterized and the following conclusions are drawn: (1) All methods are suitable for the modeling, giving a good agreement with the experimental data with less than 3% max voltage relative error and 30 mV RMSE in most cases. (2) Particle swarm optimization (PSO) method is the best trade-off in terms of computational time, accuracy, and robustness. (3) Genetic algorithm (GA) lack of computational time compared to PSO and LS (4) The internal resistance behavior, investigated for the PSO, showed a positive correlation to the voltage error, depending on the chemistry and loading profile.

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The Fluorine‐Rich Electrolyte as an Interface Modifier to Stabilize Lithium Metal Battery at Ultra‐Low Temperature

Zhu

Guo

et al. 2022

Adv Funct Materials

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Lithium (Li) metal batteries (LMBs) are still limited by lithium dendrite growth and solvated structure at low temperatures. A stable solid electrolyte interface (SEI) and solvent sheath structure are the future directions of liquid metal battery development. However, most artificial SEIs and electrolytes cannot meet the original objective of high conductivity and low nucleation potential multifunctional design. To address this challenge, an electrolyte with excellent high current density and low‐temperature performance is reported here. In this electrolyte environment, the thickness and microstructure of the “Chain Link Ships” SEI are formed. Moreover, the additives improve the desolvation ability of Li+ in the ester electrolytes. Under the harsh environment (−30 °C), the average coulombic efficiency (CE) of the Li||copper (Cu) battery reaches 98% after 200 cycles. Even at −40 °C, the Li||LiFePO4 (LFP) battery shows 90% capacity retention after 100 cycles at the cathode‐limited areal capacity (5 mAh cm−2). Furthermore, at 30 °C, the Li||LFP battery can cycle stably for 1200 cycles at 5 C, and the capacity retention reaches 93.5%. This addition strategy provides insights into the commercial application of new solvated structure electrolytes and a new approach for commercial low‐temperature LMBs.

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A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells

Cited by 216 publications

References 276 publications

Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

The Fluorine‐Rich Electrolyte as an Interface Modifier to Stabilize Lithium Metal Battery at Ultra‐Low Temperature

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