High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells

Huria, Tarun; Ceraolo, Massimo; Gazzarri, Javier; Jackey, Robyn A.

doi:10.1109/ievc.2012.6183271

Cited by 334 publications

(237 citation statements)

References 9 publications

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“…It should be noted that the value of 1 are much lower than the values of 2. Moreover the creation of the Ro, Rp and Rp2 parameters are more easily created because they are based on the behaviour of a resistance while the values 1 and 2 are based on a capacitor behaviour which is more difficult to simulate [14,64]. In Figure 9 the internal resistance under 1 current rate for different temperatures (15 °C, 25 °C, 35 °C and 45 °C) is shown to represent the temperature dependency of the parameter.…”

Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

“…It should be noted that the value of τ 1 are much lower than the values of τ 2 . Moreover the creation of the R o , R p and R p2 parameters are more easily created because they are based on the behaviour of a resistance while the values τ 1 and τ 2 are based on a capacitor behaviour which is more difficult to simulate [14,64].…”

Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

“…It should be noted that the value of 1 are much lower than the values of 2. Moreover the creation of the Ro, Rp and Rp2 parameters are more easily created because they are based on the behaviour of a resistance while the values 1 and 2 are based on a capacitor behaviour which is more difficult to simulate [14,64]. Continuing the analysis on the battery models parameters, it should be noted that the values presented in Figures 5-7 are from parameters, which are a function of SoC, current rate, expressed in C-rate and temperature.…”

Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

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Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion

et al. 2016

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Abstract:In this paper, advanced equivalent circuit models (ECMs) were developed to model large format and high energy nickel manganese cobalt (NMC) lithium-ion 20 Ah battery cells. Different temperatures conditions, cell characterization test (Normal and Advanced Tests), ECM topologies (1st and 2nd Order Thévenin model), state of charge (SoC) estimation techniques (Coulomb counting and extended Kalman filtering) and validation profiles (dynamic discharge pulse test (DDPT) and world harmonized light vehicle profiles) have been incorporated in the analysis. A concise state-of-the-art of different lithium-ion battery models existing in the academia and industry is presented providing information about model classification and information about electrical models. Moreover, an overview of the different steps and information needed to be able to create an ECM model is provided. A comparison between begin of life (BoL) and aged (95%, 90% state of health) ECM parameters (internal resistance (R o ), polarization resistance (R p ), activation resistance (R p2 ) and time constants (τ) is presented. By comparing the BoL to the aged parameters an overview of the behavior of the parameters is introduced and provides the appropriate platform for future research in electrical modeling of battery cells covering the ageing aspect. Based on the BoL parameters 1st and 2nd order models were developed for a range of temperatures (15˝C, 25˝C, 35˝C, 45˝C). The highest impact to the accuracy of the model (validation results) is the temperature condition that the model was developed. The 1st and 2nd order Thévenin models and the change from normal to advanced characterization datasets, while they affect the accuracy of the model they mostly help in dealing with high and low SoC linearity problems. The 2nd order Thévenin model with advanced characterization parameters and extended Kalman filtering SoC estimation technique is the most efficient and dynamically correct ECM model developed.

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Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

“…It should be noted that the value of 1 are much lower than the values of 2. Moreover the creation of the Ro, Rp and Rp2 parameters are more easily created because they are based on the behaviour of a resistance while the values 1 and 2 are based on a capacitor behaviour which is more difficult to simulate [14,64]. Continuing the analysis on the battery models parameters, it should be noted that the values presented in Figures 5-7 are from parameters, which are a function of SoC, current rate, expressed in C-rate and temperature.…”

Section: Comparison Of Aged and Begin Of Life 2nd Order Thévenin Modementioning

confidence: 99%

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Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion

et al. 2016

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“…PPC tests are recorded at different SoC and temperatures allowing a range of ECM parameters to be estimated, and when in simulation be interpolated (via a 2D look-up table), over the range of SoC and temperatures values [9,10,11]. Furthermore, by estimating two separate sets of ECM parameters for charge and discharge the model fidelity can be increased to include SoC, temperature and current direction (charge or discharge) [12].…”

Section: Notationsmentioning

confidence: 99%

Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2: Model estimation

Widanage

Barai

Chouchelamane

et al. 2016

Journal of Power Sources

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Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.

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“…Positive current is assumed to be discharging or discharge pulse can be used to obtain the corresponding charge/discharge parameters of a Li-ion battery Equivalent Circuit Model (ECM) [1]. In practice however, an ECM based on a single charge and discharge pulse is used to represent the battery dynamics at that particular SoC and battery temperature [2,3,4]. In contrast, the work in [5] presents a current dependent ECM whereby the model estimated for all the pulses is included, and therefore the ECM parameters are a function of current, SoC and battery temperature.…”

Section: Introductionmentioning

confidence: 99%

Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 1: Signal design

Widanage

Barai

Chouchelamane

et al. 2016

Journal of Power Sources

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Permanent WRAP URL:http://wrap.warwick.ac.uk/79240 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. AbstractThe Pulse Power Current (PPC) profile is often the signal of choice for obtaining the parameters of a Lithium-ion (Li-ion) battery Equivalent Circuit Model (ECM). Subsequently, a drive-cycle current profile is used as a validation signal. Such a profile, in contrast to a PPC, is more dynamic in both the amplitude and frequency bandwidth. Modelling errors can occur when using PPC data for parametrisation since the model is optimised over a narrower bandwidth than the validation profile. A signal more representative of a drive-cycle, while maintaining a degree of generality, is needed to reduce such modelling errors.In Part 1 of this 2-part paper a signal design technique defined as a pulsemultisine is presented. This superimposes a signal known as a multisine to a discharge, rest and charge base signal to achieve a profile more dynamic in amplitude and frequency bandwidth, and thus more similar to a drive-cycle. * Corresponding author. Email: Dhammika.Widanalage@warwick.ac.uk. Address: WMG, University of Warwick, Coventry, CV4 7AL, UK. Telephone: 0044 24765 28191. Preprint submitted to Journal of Power SourcesMay 25, 2016The signal improves modelling accuracy and reduces the experimentation time, per state-of-charge (SoC) and temperature, to several minutes compared to several hours for an PPC experiment.

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High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells

Cited by 334 publications

References 9 publications

Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion

Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion

Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2: Model estimation

Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 1: Signal design

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