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.
Authors
- Jeongchang Kim (ORCID: https://orcid.org/0000-0002-8612-9360)
- Hyo-Taek Lee
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
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