Configuration study of next-generation BMS based on Wireless Sensor Network
Department of Artificial Intelligence and Big Data, Sehan University.
International Journal of Science and Technology Research Archive, 2025, 08(02), 110-114.
Article DOI: 10.53771/ijstra.2025.8.2.0040
Publication history:
Received on 07 April 2025; revised on 19 May 2025; accepted on 21 May 2025
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.
Keywords:
Wireless BMS; Battery Management System; Wireless Sensor Network; Electric Vehicle; Energy Storage System; Wireless Communication
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Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0