On Experiment Design for Parameter Estimation of Equivalent-Circuit Battery Models

Beelen, H.P.G.J.; Bergveld, Henk Jan; Donkers, M.C.F.

doi:10.1109/ccta.2018.8511529

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Respective characteristic frequencies are given in the plot the parameter set matching s,c and i 0,c of PE step 3. This approach is based on the results of Beelen et al [2]. They suggest that for parameterization, tests should be used which are similar to the later application.…”

Section: Identifiability By Addition Of Assessment Of Impedance Spectramentioning

confidence: 99%

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Practical identifiability of electrochemical P2D models for lithium-ion batteries

2021

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Electrochemical models play a significant role in today’s rapid development and enhancement of lithium-ion batteries. For instance, they are applied for design and process optimization. More recently, model and parameter identifiability are gaining interest as thorough model parameterization is key to reliable simulation results. Especially electrochemical models are often prone to unidentifiability and overfitting due to their high number of adjustable parameters. In this article, the most common electrochemical peudo-2D model of a lithium-ion battery is parameterized. A three-step procedure is applied which considers quasi-static 3-electrode measurements of the open-circuit potential, C-rate tests, and electrochemical impedance spectra. Identifiability of each step is discussed in-depth and a general guidance for future parameterizations is derived. The conducted study reveals the insufficiency of open-circuit potential and C-rate tests to fully parameterize the electrochemical model. Highly dynamic tests, e.g., impedance spectroscopy, are required to resolve the ambiguity of diffusive and electric processes under quasi-static conditions. Any parameterization of electrochemical models requires experimental data of electrode-resolved tests, as well as a combination of quasi-static and highly dynamic tests. The results of this study provide guidance for the use of electrochemical models in applied sciences and industry. Graphic abstract

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Section: Identifiability By Addition Of Assessment Of Impedance Spectramentioning

confidence: 99%

“…A Kalman filter was applied to the ECM. It was shown that in this case, parameter estimation should facilitate electrochemical tests similar to the actual application for optimal accordance of the model [2].…”

Section: Introductionmentioning

confidence: 99%

Practical identifiability of electrochemical P2D models for lithium-ion batteries

2021

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“…In this paper, a first-order overpotential model has been considered, as it has been shown in [5,18] that a higherorder overpotential model not always leads to higher model accuracy. Still, the model typically does not capture all dynamics of the underlying nonlinear and infinite-dimensional physical system.…”

Section: A Battery Modellingmentioning

confidence: 99%

“…(ECM) is often used due to its simplicity and relatively good accuracy, see, e.g., [1,5,6]. The ECM can be interpreted as a low-order model that approximates the dynamical behaviour of the battery voltage with linear state dynamics and a static nonlinearity in the output of the model.…”

Section: Introductionmentioning

confidence: 99%

Joint Estimation of Battery Parameters and State of Charge Using an Extended Kalman Filter: A Single-Parameter Tuning Approach

Beelen

Bergveld

Donkers

2021

IEEE Trans. Contr. Syst. Technol.

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“…However, another important dependency factor for ECM parameters that is generally overlooked is the type of current loads. Different current profiles have been used for ECM parameter estimation, such as the pulsed current test (different types of pulse design as in [36,37,40]), drive cycles [41,42] and constantcurrent charging and discharging [43][44][45]. However, few works have considered the effect of choosing different current profiles on the identified parameters and the model accuracy [41,42].…”

Section: Introductionmentioning

confidence: 99%

Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method

Hua

Zhang

Offer

2021

Journal of Power Sources

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On Experiment Design for Parameter Estimation of Equivalent-Circuit Battery Models

Cited by 9 publications

References 21 publications

Practical identifiability of electrochemical P2D models for lithium-ion batteries

Practical identifiability of electrochemical P2D models for lithium-ion batteries

Joint Estimation of Battery Parameters and State of Charge Using an Extended Kalman Filter: A Single-Parameter Tuning Approach

Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method

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