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Development of a battery energy loss observer based on improved equivalent circuit modelling

Fares, Ahmed; Klumpner, Christian; Sumner, M.

Authors

Ahmed Fares eexaf13@exmail.nottingham.ac.uk

Christian Klumpner christian.klumpner@nottingham.ac.uk

M. Sumner mark.sumner@nottingham.ac.uk



Abstract

This paper proposes a new energy loss observer for batteries that has a good accuracy and low complexity. This observer can provide a support for battery management systems (BMS) in terms of predicting battery energy loss and/or battery internal temperature for given load profiles, and this enhances BMS capabilities for predictive and corrective actions. The typical observer requires an accurate battery model that represents accurately the internal resistance of the battery, and therefore battery modelling guidelines to produce a simplified equivalent circuit model (ECM) have been proposed. Experiments to validate the accuracy of the proposed model have been performed on a LiFePO4 (3.6V/8Ah) battery cell. The model parameter estimation has been achieved by fitting the model impedance to the battery impedance data obtained from electrochemical impedance spectroscopy. The energy loss estimation based on the proposed observer showed good accuracy with maximum error of ±2% under different load profiles operated within the targeted frequency range.

Start Date Sep 5, 2016
Publication Date Oct 27, 2016
Peer Reviewed Peer Reviewed
APA6 Citation Fares, A., Klumpner, C., & Sumner, M. (2016). Development of a battery energy loss observer based on improved equivalent circuit modelling. doi:10.1109/EPE.2016.7695602
DOI https://doi.org/10.1109/EPE.2016.7695602
Keywords Batteries, Battery Management Systems (BMS), Efficiency, Estimation technique, Impedance measurement, Modelling
Related Public URLs http://www.epe2016.com/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
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Development of a battery energy loss observer based on improved equivalent circuit modelling.pdf (2.4 Mb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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