Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries

Abstract Power Line Communication (PLC) is used to transmit high‐fidelity data on internal cell characteristics from within instrumented cells to an external Battery Management System (BMS). Using PLC is beneficial, as it avoids the need for a complex and heavyweight wiring harness within a battery....

Full description

Saved in:
Bibliographic Details
Main Authors: Mahyar J. Koshkouei, Erik Kampert, Andrew D. Moore, Matthew D. Higgins
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:IET Electrical Systems in Transportation
Online Access:https://doi.org/10.1049/els2.12033
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832546671947415552
author Mahyar J. Koshkouei
Erik Kampert
Andrew D. Moore
Matthew D. Higgins
author_facet Mahyar J. Koshkouei
Erik Kampert
Andrew D. Moore
Matthew D. Higgins
author_sort Mahyar J. Koshkouei
collection DOAJ
description Abstract Power Line Communication (PLC) is used to transmit high‐fidelity data on internal cell characteristics from within instrumented cells to an external Battery Management System (BMS). Using PLC is beneficial, as it avoids the need for a complex and heavyweight wiring harness within a battery. The use of advanced modulation, such as Quadrature Amplitude Modulation (QAM), is considered here. The existing experimental results of lithium‐ion cell impedance characteristics for frequencies of 100 kHz–200 MHz are exploited in order to create a realistic battery model. This model is used to determine the effectiveness and optimal properties of PLC with QAM, as a means of in situ battery communication for Battery Electric Vehicles (BEVs) in combination with a real‐world dynamic drive profile. Simulations reveal that the performance of the PLC system is heavily dependent on the selected carrier frequency due to the significant changes in reactance and internal resistance of the lithium‐ion cells tested. Furthermore, cells placed in parallel display a decreased performance compared with cells in series. The results highlight that the optimal carrier frequency for in situ QAM‐based PLC for a lithium‐ion battery system is 30 MHz, and that additional signal conditioning is required for 4‐QAM and higher modulation orders.
format Article
id doaj-art-78fbdc018e814317b272e29eb74d5fc4
institution Kabale University
issn 2042-9738
2042-9746
language English
publishDate 2022-03-01
publisher Wiley
record_format Article
series IET Electrical Systems in Transportation
spelling doaj-art-78fbdc018e814317b272e29eb74d5fc42025-02-03T06:47:34ZengWileyIET Electrical Systems in Transportation2042-97382042-97462022-03-01121152510.1049/els2.12033Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteriesMahyar J. Koshkouei0Erik Kampert1Andrew D. Moore2Matthew D. Higgins3WMG University of Warwick Coventry UKWMG University of Warwick Coventry UKWMG University of Warwick Coventry UKWMG University of Warwick Coventry UKAbstract Power Line Communication (PLC) is used to transmit high‐fidelity data on internal cell characteristics from within instrumented cells to an external Battery Management System (BMS). Using PLC is beneficial, as it avoids the need for a complex and heavyweight wiring harness within a battery. The use of advanced modulation, such as Quadrature Amplitude Modulation (QAM), is considered here. The existing experimental results of lithium‐ion cell impedance characteristics for frequencies of 100 kHz–200 MHz are exploited in order to create a realistic battery model. This model is used to determine the effectiveness and optimal properties of PLC with QAM, as a means of in situ battery communication for Battery Electric Vehicles (BEVs) in combination with a real‐world dynamic drive profile. Simulations reveal that the performance of the PLC system is heavily dependent on the selected carrier frequency due to the significant changes in reactance and internal resistance of the lithium‐ion cells tested. Furthermore, cells placed in parallel display a decreased performance compared with cells in series. The results highlight that the optimal carrier frequency for in situ QAM‐based PLC for a lithium‐ion battery system is 30 MHz, and that additional signal conditioning is required for 4‐QAM and higher modulation orders.https://doi.org/10.1049/els2.12033
spellingShingle Mahyar J. Koshkouei
Erik Kampert
Andrew D. Moore
Matthew D. Higgins
Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
IET Electrical Systems in Transportation
title Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
title_full Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
title_fullStr Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
title_full_unstemmed Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
title_short Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries
title_sort evaluation of an in situ qam based power line communication system for lithium ion batteries
url https://doi.org/10.1049/els2.12033
work_keys_str_mv AT mahyarjkoshkouei evaluationofaninsituqambasedpowerlinecommunicationsystemforlithiumionbatteries
AT erikkampert evaluationofaninsituqambasedpowerlinecommunicationsystemforlithiumionbatteries
AT andrewdmoore evaluationofaninsituqambasedpowerlinecommunicationsystemforlithiumionbatteries
AT matthewdhiggins evaluationofaninsituqambasedpowerlinecommunicationsystemforlithiumionbatteries