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

Widanage, Widanalage Dhammika; Barai, Anup; Chouchelamane, Gael Henri; Uddin, Kotub; McGordon, Andrew; Marco, James; Jennings, Paul

doi:10.1016/j.jpowsour.2016.05.014

Cited by 68 publications

(49 citation statements)

References 19 publications

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“…The charge sustaining profile of the PMC is created by a superposition of a sequence of pulses with a multisine. The resulting profile approximates the amplitude spectrum of a duty-cycle derived from a real-world driving cycle, and as such is reported to be more representative of the dynamics a cell is exposed to during operation [30]. Similarly, to the HPPC, the voltage response of a cell to this dynamic profile could be used to parameterize an ECM for a number of SOCs.…”

Section: Test Methodology 241 Cell Characterisationmentioning

confidence: 86%

“…• The Pulse Multisine Characterisation (PMC) test, first introduced by Widanage et al [29], is a characterisation test based on a similar principle as the "Hybrid Pulse Power Characterisation" (HPPC) test. The charge sustaining profile of the PMC is created by a superposition of a sequence of pulses with a multisine.…”

Section: Test Methodology 241 Cell Characterisationmentioning

confidence: 99%

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Duty-cycle characterisation of large-format automotive lithium ion pouch cells for high performance vehicle applications

Kellner

Worwood

Barai

et al. 2018

Journal of Energy Storage

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A B S T R A C TThe long-term behaviour of lithium ion batteries in high-performance (HP) electric vehicle (EV) applications is not well understood due to a lack of suitable testing cycles and experimental data. As such a generic HP duty cycle (HP-C), representing driving on a race track is validated, and six NMC graphite cells are characterised with respect to cycle-life. To enable a comparison between the HP-EV environment and conventional road driving, two test groups of cells are subject to an experimental evaluation over 200 duty cycles that includes a representative HP-C and a standard duty cycle from the IEC 62660-1 standard (IECC). After testing, both test groups display increased energy capacity, increased pure Ohmic resistance, lower charge transfer resistance an extended OCV operating window. The changes are more pronounced for cells subject to the HP-C. Based on capacity tests, Electrochemical Impedance Spectroscopy (EIS), pseudo-OCV tests, and Pulse Multisine Characterisation, it is concluded that the changes in cell characteristics are most likely caused by cracking of the electrode material caused by high electrical current pulses. With continued cycling, cells cycled with the HP-C are expected to show degradation at an increased rate due to raised temperatures, and more pronounced electrode cracking.

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Section: Test Methodology 241 Cell Characterisationmentioning

confidence: 86%

Section: Test Methodology 241 Cell Characterisationmentioning

confidence: 99%

Duty-cycle characterisation of large-format automotive lithium ion pouch cells for high performance vehicle applications

Kellner

Worwood

Barai

et al. 2018

Journal of Energy Storage

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“…This function accounts for current dependency of the battery dynamics without having to estimate a separate ECM for charge and discharge dynamics. Details of the new model structure and estimation procedure is given in Part 2 [9].…”

Section: Discussionmentioning

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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“…Researchers of batteries have developed a wide range of battery models with varying degrees of complexity. Therefore, to consider the real-time applications, the first-order model is utilized in this paper, which has been widely used for its good characteristics in terms of accuracy and complexity [26,36,37]. This battery model is composed of a voltage source representing the open circuit voltage, an ohmic resistance R i that models the internal resistance and a one polarization RC network that describes the polarization phenomena.The RC branch is composed of the capacitance C d f , representing the polarization of the metallic electrodes, and the resistor R d f , which is due to the contact of the electrodes with the electrolyte [25].…”

Section: Overview Of Li-ion Ocv Modelsmentioning

confidence: 99%

Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter

et al. 2017

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Accurate modeling of the nonlinear relationship between the open circuit voltage (OCV) and the state of charge (SOC) is required for adaptive SOC estimation during the lithium-ion (Li-ion) battery operation. Online SOC estimation should meet several constraints, such as the computational cost, the number of parameters, as well as the accuracy of the model. In this paper, these challenges are considered by proposing an improved simplified and accurate OCV model of a nickel manganese cobalt (NMC) Li-ion battery, based on an empirical analytical characterization approach. In fact, composed of double exponential and simple quadratic functions containing only five parameters, the proposed model accurately follows the experimental curve with a minor fitting error of 1 mV. The model is also valid at a wide temperature range and takes into account the voltage hysteresis of the OCV. Using this model in SOC estimation by the extended Kalman filter (EKF) contributes to minimizing the execution time and to reducing the SOC estimation error to only 3% compared to other existing models where the estimation error is about 5%. Experiments are also performed to prove that the proposed OCV model incorporated in the EKF estimator exhibits good reliability and precision under various loading profiles and temperatures.

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

Cited by 68 publications

References 19 publications

Duty-cycle characterisation of large-format automotive lithium ion pouch cells for high performance vehicle applications

Duty-cycle characterisation of large-format automotive lithium ion pouch cells for high performance vehicle applications

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

Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter

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