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Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter

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Bizeray, A.M., Zhao, S., Duncan, S.R., Howey, D.A.·2015·Journal of Power Sources

Abstract

Abstract This paper investigates the state estimation of a high-fidelity spatially resolved thermal-electrochemical lithium-ion battery model commonly referred to as the pseudo two-dimensional model. The partial-differential algebraic equations (PDAEs) constituting the model are spatially discretised using Chebyshev orthogonal collocation enabling fast and accurate simulations up to high C-rates. This implementation of the pseudo-2D model is then used in combination with an extended Kalman filter algorithm for differential-algebraic equations to estimate the states of the model. The state estimation algorithm is able to rapidly recover the model states from current, voltage and temperature measurements. Results show that the error on the state estimate falls below 1% in less than 200 s despite a 30% error on battery initial state-of-charge and additive measurement noise with 10 mV and 0.5 K standard deviations.

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Metadata

Authors
Bizeray, A. M., Zhao, S., Duncan, S. R., & Howey, D. A.
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2015-11
Volume
296
Pages
400-412
ISSN
0378-7753 (ISSN-L)
OpenAlex
W828050630
Cited by
269
References
42
FWCI
18.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter. https://app.cochat.ai/papers/10.1016/j.jpowsour.2015.07.019
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Bizeray, A. M., Zhao, S., Duncan, S. R., & Howey, D. A. (2015). Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2015.07.019

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