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

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Electrical Systems in Transportation Pub Date : 2021-06-25 DOI:10.1049/els2.12033
Mahyar J. Koshkouei, Erik Kampert, Andrew D. Moore, Matthew D. Higgins
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引用次数: 7

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.

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用于锂离子电池的基于QAM的现场电力线通信系统的评估
电力线通信(PLC)用于将内部电池特性的高保真数据从仪器电池内传输到外部电池管理系统(BMS)。使用PLC是有益的,因为它避免了在电池内需要复杂而沉重的线束。本文考虑使用高级调制,如正交幅度调制(QAM)。为了创建真实的电池模型,利用了100kHz至200MHz频率下锂离子电池阻抗特性的现有实验结果。该模型用于确定具有QAM的PLC的有效性和最佳性能,作为电池电动汽车(BEV)的现场电池通信方式,结合真实世界的动态驱动配置文件。仿真表明,由于测试的锂离子电池的电抗和内阻发生了显著变化,PLC系统的性能在很大程度上取决于所选的载波频率。此外,与串联的单元相比,并联放置的单元显示出降低的性能。结果强调,用于锂离子电池系统的基于原位QAM的PLC的最佳载波频率为30MHz,并且对于4-QAM和更高的调制阶数需要额外的信号调节。
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来源期刊
CiteScore
5.80
自引率
4.30%
发文量
18
审稿时长
29 weeks
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