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Impact of lithium-ion battery state of charge on in situ QAM-based power line communication
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Koshkouei, Mahyar J., Kampert, Erik, Moore, Andrew D. and Higgins, Matthew D. (2022) Impact of lithium-ion battery state of charge on in situ QAM-based power line communication. Sensors, 22 (16). 6144. doi:10.3390/s22166144 ISSN 1424-8220.
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Official URL: https://doi.org/10.3390/s22166144
Abstract
Power line communication within a lithium-ion battery allows for high fidelity sensor data to be transferred between sensor nodes of each instrumented cell within the battery pack to an external battery management system. In this paper, the changing characteristics of the lithium-ion cell at various states of charge are measured, analysed, and compared to understand their effectiveness on the communication channel of a power line communication system for carrier frequencies of 10 MHz to 6 GHz. Moreover, the use of quadrature amplitude modulation (QAM) is investigated to determine its effectiveness as a state-of-the-art modulation method for the same carrier frequency range. The overall results indicate that certain carrier frequencies and QAM orders may not be suitable for the in situ battery pack power line communication due to changes in battery impedance with certain lithium-ion cell states of charge, which cause an increase in error vector magnitude, bit error ratio, and symbol error ratio. Recommendations and trends on the impact of these changing characteristics based upon empirical results are also presented in this paper.
Item Type: | Journal Article | |||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
Library of Congress Subject Headings (LCSH): | Lithium cells, Telecommunication, Power electronics, Signal processing -- Digital techniques, Amplitude modulation, Electric vehicles, Battery chargers | |||||||||
Journal or Publication Title: | Sensors | |||||||||
Publisher: | MDPI AG | |||||||||
ISSN: | 1424-8220 | |||||||||
Official Date: | 17 August 2022 | |||||||||
Dates: |
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Volume: | 22 | |||||||||
Number: | 16 | |||||||||
Article Number: | 6144 | |||||||||
DOI: | 10.3390/s22166144 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 17 August 2022 | |||||||||
Date of first compliant Open Access: | 17 August 2022 | |||||||||
Funder: | [EPSRC] Engineering and Physical Sciences Research Council | |||||||||
RIOXX Funder/Project Grant: |
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