Parameterisation and online states estimation of high-energy lithium-titanate cells

In 2013, the University of Sheffield commissioned a 1 MWh lithium-titanate (LTO) battery energy storage system (BESS), directly connected to the grid through an 11 kV feed. With a view to later on develop a comprehensive model structure for the whole battery pack - key to many online battery managem...

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Bibliographic Details
Published inIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society pp. 7660 - 7665
Main Authors Nejad, S., Gladwin, D. T., Foster, M. P., Stone, D. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Batteries
Battery
Equivalent-Circuit Modelling
Estimation
Impedance
Kalman Filter
Lithium-Titanate
Mathematical model
Online
State of charge
Voltage measurement
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DOI10.1109/IECON.2017.8217342

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Summary:In 2013, the University of Sheffield commissioned a 1 MWh lithium-titanate (LTO) battery energy storage system (BESS), directly connected to the grid through an 11 kV feed. With a view to later on develop a comprehensive model structure for the whole battery pack - key to many online battery management system (BMS) operations - in this paper, an in-depth frequency-domain analysis is performed on one of the constituent 2.3 V 20 Ah LTO cells, using a potentiostatic sine-swept method. A first-order resistor-capacitor (RC) equivalent-circuit model is put forward, capable of representing the LTO cell's impedance magnitude with an error of less than 0.1 mΩ. Thereafter, the performance of the proposed one-RC model structure for online SOC estimation is experimentally verified using the Extended Kalman Filter (EKF). The verification test is performed on a dynamic pulsed-power profile, derived from a real grid frequency-support service that is offered by several BESSs in the UK.
DOI:10.1109/IECON.2017.8217342