A Low Power Partial Timestamp Synchronization Scheme for Battery Pack Sensing

Low energy consumption is crucial to a Battery Pack Management system (BMS) in particular with sensors over hundreds of batteries. To reduce the sensor power-consumption in a battery pack, a Partial Timestamp Synchronization (PTS) scheme combined with Low-Energy Adaptive Clustering Hierarchy (LEACH) is proposed in this work. The proposed LEACH-PTS scheme consists of a fixed relay and gets a lower complexity in the case of multi-hopping than that of the original LEACH. To further reduce the power consumption in a battery network, a node power threshold is designed to determine the replacement of relay nodes. Simulation results show that our proposed method significantly reduces sensor network power consumption than state-of-the-art methods.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/icicn62625.2024.10761637
Primary Topic
Network Time Synchronization Technologies
Type
article
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article

A Low Power Partial Timestamp Synchronization Scheme for Battery Pack Sensing

Jian‐Ming Jin, Zhiyuan Chen, Jiajie Liu, Lei Sun
Network Time Synchronization Technologies
article

A Low Power Partial Timestamp Synchronization Scheme for Battery Pack Sensing

Jian‐Ming Jin, Zhiyuan Chen, Jiajie Liu, Lei Sun
article en

Abstract

Low energy consumption is crucial to a Battery Pack Management system (BMS) in particular with sensors over hundreds of batteries. To reduce the sensor power-consumption in a battery pack, a Partial Timestamp Synchronization (PTS) scheme combined with Low-Energy Adaptive Clustering Hierarchy (LEACH) is proposed in this work. The proposed LEACH-PTS scheme consists of a fixed relay and gets a lower complexity in the case of multi-hopping than that of the original LEACH. To further reduce the power consumption in a battery network, a node power threshold is designed to determine the replacement of relay nodes. Simulation results show that our proposed method significantly reduces sensor network power consumption than state-of-the-art methods.

Beijing Institute of Technology (CN), Beijing Technology and Business University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Network Time Synchronization Technologies
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