Configuration study of next-generation BMS based on Wireless Sensor Network

This paper proposes a wireless sensor network (WSN)-based next-generation battery management system (BMS) architecture for large-scale battery packs in electric vehicles (EVs) and energy storage systems (ESS). Traditional wired BMS offers high reliability but suffers from complex wiring, high installation costs, and maintenance difficulties. This study compares the characteristics of key wireless communication technologies such as Bluetooth Low Energy (BLE), Zigbee, LoRa, and Ultra-Wideband (UWB) to optimize wireless BMS design. Moreover, the performance and cost-effectiveness of wired and wireless BMS are compared based on existing literature and simulation data analysis. Technical measures to improve data reliability and security in wireless BMS environments are also proposed. The findings of this study can serve as a valuable reference for the commercialization and standardization of wireless BMS in EV and ESS applications.

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Publication Details

Journal
International Journal of Science and Technology Research Archive
Published
2025-06-11
DOI
https://doi.org/10.53771/ijstra.2025.8.2.0040
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Configuration study of next-generation BMS based on Wireless Sensor Network

Jeongchang Kim, Hyo-Taek Lee
International Journal of Science and Technology Research Archive
Wireless Sensor Networks and IoT
article

Configuration study of next-generation BMS based on Wireless Sensor Network

Jeongchang Kim, Hyo-Taek Lee
article en

Abstract

This paper proposes a wireless sensor network (WSN)-based next-generation battery management system (BMS) architecture for large-scale battery packs in electric vehicles (EVs) and energy storage systems (ESS). Traditional wired BMS offers high reliability but suffers from complex wiring, high installation costs, and maintenance difficulties. This study compares the characteristics of key wireless communication technologies such as Bluetooth Low Energy (BLE), Zigbee, LoRa, and Ultra-Wideband (UWB) to optimize wireless BMS design. Moreover, the performance and cost-effectiveness of wired and wireless BMS are compared based on existing literature and simulation data analysis. Technical measures to improve data reliability and security in wireless BMS environments are also proposed. The findings of this study can serve as a valuable reference for the commercialization and standardization of wireless BMS in EV and ESS applications.

International Journal of Science and Technology Research ArchiveVol. 8(2)
Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 85%
Wireless Sensor Networks and IoT
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Configuration study of next-generation BMS based on Wireless Sensor Network — Jeongchang Kim, Hyo-Taek Lee · International Journal of Science and Technology Research Archive (2025) | TGRS Research Map | TGRS