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Wireless battery management systems (WBMS) are leveraged to enhance efficiency, scalability, and reliability in electric vehicles (EVs), renewable energy, and industrial applications by eliminating wired constraints. This study compares BLE, Zigbee, Wi-Fi, NFC, UWB, and cellular networks, assessing power efficiency, latency, security, and scalability. BLE is known for its ultra-low power consumption, making it more efficient than Zigbee in battery-powered applications. Additionally, 5G has the potential to reduce latency to < 1 ms, significantly improving real-time WBMS monitoring compared to 4G. 5G and IoT drive advancements in real-time monitoring and predictive analytics. AI-integrated WBMS solutions, such as those explored by Tesla, have shown improvements in battery lifespan through enhanced state of charge (SoC) estimation and thermal management. Despite challenges like signal attenuation and cybersecurity risks, AI-driven diagnostics and hybrid wireless architectures offer promising solutions. To address cybersecurity concerns, blockchain-based WBMS solutions ensure data integrity, while error-correcting codes mitigate signal attenuation in dense battery environments. With continued innovations, WBMS adoption is expected to grow significantly in EV models by 2030, replacing traditional wired BMS in many applications.

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Wireless Communication in Battery Management Systems: A Review of Technologies, Challenges, and Future Prospects

  • 会议论文

  • 发表日期：

    2026年

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  • M. Akash,
  • J. D. Athish,
  • S. Praveen,
  • Rahul Ganesh,
  • S. Sriramakrishnan,
  • Ilango Karuppasamy

摘要

Wireless battery management systems (WBMS) are leveraged to enhance efficiency, scalability, and reliability in electric vehicles (EVs), renewable energy, and industrial applications by eliminating wired constraints. This study compares BLE, Zigbee, Wi-Fi, NFC, UWB, and cellular networks, assessing power efficiency, latency, security, and scalability. BLE is known for its ultra-low power consumption, making it more efficient than Zigbee in battery-powered applications. Additionally, 5G has the potential to reduce latency to < 1 ms, significantly improving real-time WBMS monitoring compared to 4G. 5G and IoT drive advancements in real-time monitoring and predictive analytics. AI-integrated WBMS solutions, such as those explored by Tesla, have shown improvements in battery lifespan through enhanced state of charge (SoC) estimation and thermal management. Despite challenges like signal attenuation and cybersecurity risks, AI-driven diagnostics and hybrid wireless architectures offer promising solutions. To address cybersecurity concerns, blockchain-based WBMS solutions ensure data integrity, while error-correcting codes mitigate signal attenuation in dense battery environments. With continued innovations, WBMS adoption is expected to grow significantly in EV models by 2030, replacing traditional wired BMS in many applications.