Impact of Li-Ion Battery on System's Overall Impedance and Received Signal Strength for Power Line Communication (PLC).
Vlad MarsicTazdin AmietszajewChristopher GardnerPetar IgicSoroush FaramehrJoe FlemingPublished in: Sensors (Basel, Switzerland) (2022)
In anticipation of the hybrid utilisation of the radio frequency (RF) wireless transceiver technology embedded in future smart Li-ion battery cells to deliver hybrid links based on power line communication (PLC) and wireless connections, herein we present an empirical high-frequency investigation of the direct current (DC) bus. The focus is to determine, via statistical tools including correlation coefficient (CC), root mean squared error (RMSE) and feature selective validation (FSV) method, the impedance and signal change impact on a possible communication link when fully charged cells are present or completely missing from the bus. Moreover, to establish if technological differences may be accounted for during the empirical experiments, Li-ion cells from two different manufacturers were selected and connected via three subsequent capacitive couplings of 1 µF, 1 nF and 1 pF. According to a methodical comparison by employing CC, RMSE, and FSV over the measured impedance and signal attenuation, this study has shown that the physical DC network is the dominant impedance at high frequencies and that the signal attenuation on the DC line supports communication in the investigated spectrum. The reported findings are critical for in situ hybrid PLC and wireless communication implementation of BMS for Li-ion systems supported through only one RF transceiver.
Keyphrases
- high frequency
- induced apoptosis
- ion batteries
- cell cycle arrest
- dendritic cells
- transcranial magnetic stimulation
- signaling pathway
- healthcare
- oxidative stress
- primary care
- machine learning
- dual energy
- cell death
- deep learning
- magnetic resonance imaging
- immune response
- magnetic resonance
- neural network
- toll like receptor
- high speed