基于单电芯的无线电池管理系统设计
Design of Wireless Battery Management System Based on Single Cell
DOI: 10.12677/aepe.2025.131005, PDF,   
作者: 匡亚洲, 裴川东, 黄浩瑞：西华大学汽车与交通学院，四川 成都；彭忆强：西华大学汽车与交通学院，四川 成都；西华大学汽车测控与安全四川省重点实验室，四川 成都；许 刚：上海巨微集成电路有限公司，上海
关键词: 单电芯；无线电池管理系统；阻抗在线测量；Single Cell； Wireless Battery Management System； Online Impedance Measurement
摘要: 本文设计了一种基于单电芯的无线电池管理系统(WBMS)，通过无线射频技术实现电池数据传输。与传统有线BMS相比，WBMS在结构布置、布线简化、重量和体积减小、服务和维护成本降低等方面具有显著优势。本文提出的系统采用蓝牙单电芯AFE硬件，并增加了在线电化学阻抗谱(EIS)测量功能，验证了无线网络的稳定性、数据采样精度及在线EIS测量的可靠性。研究结果表明，该系统在功能上可以替代传统BMS，并为锂离子电池状态估计及故障预警提供了更多高维度特征数据。
Abstract: This paper designs a wireless battery management system (WBMS) based on a single cell, utilizing wireless radio frequency technology for battery data transmission. Compared to traditional wired BMS, WBMS offers significant advantages in terms of structural layout, simplified wiring, reduced weight and volume, and lower service and maintenance costs. The proposed system employs Bluetooth single-cell AFE hardware and incorporates online electrochemical impedance spectroscopy (EIS) measurement functionality. The stability of the wireless network, data sampling accuracy, and reliability of online EIS measurements were validated. The research results indicate that this system can functionally replace traditional BMS and provide more high-dimensional feature data for lithium-ion battery state estimation and fault warning.
文章引用：匡亚洲, 裴川东, 彭忆强, 许刚, 黄浩瑞. 基于单电芯的无线电池管理系统设计[J]. 电力与能源进展, 2025, 13(1): 37-47. https://doi.org/10.12677/aepe.2025.131005

参考文献

[1] 马江睿, 王琪, 高田, 等. 电池管理系统中无线数据传输技术的研究[J]. 自动化与仪表, 2019, 34(3): 84-87.
[2] Pannerselvam, S., Narayanan, V. and Gireesh Kumar, T. (2023) Energy Efficient Machine Learning Based SMART-A-BLE Implemented Wireless Battery Management System for Both Hybrid Electric Vehicles and Battery Electric Vehicles. Procedia Computer Science, 218, 235-248. [Google Scholar] [CrossRef] 
[3] Bansal, P. and PR, N. (2019) Wireless Battery Management System for Electric Vehicles. 2019 IEEE Transportation Electrification Conference (ITEC-India), Bengaluru, 17-19 December 2019, 1-5. [Google Scholar] [CrossRef] 
[4] Samanta, A. and Williamson, S.S. (2021) A Survey of Wireless Battery Management System: Topology, Emerging Trends, and Challenges. Electronics, 10, Article 2193. [Google Scholar] [CrossRef] 
[5] 王琪, 马江睿, 王晨. 基于ZigBee的电池管理系统研究与设计[J]. 自动化与仪表, 2021, 36(3): 11-14, 19.
[6] Shell, C., Henderson, J., Verra, H. and Dyer, J. (2015) Implementation of a Wireless Battery Management System (WBMS). 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Pisa, 11-14 May 2015, 1954-1959. [Google Scholar] [CrossRef] 
[7] Rincon Vija, F.A., Cregut, S., Papadopoulos, G.Z. and Montavont, N. (2021) Enabling Robust Wireless Communication for BMS on Electric Vehicles. 2021 IEEE 46th Conference on Local Computer Networks (LCN), Edmonton, 4-7 October 2021, 423-426. [Google Scholar] [CrossRef] 
[8] Rincon Vija, F.A., Cregut, S., Papadopoulos, G.Z. and Montavont, N. (2021) From Wired to Wireless BMS in Electric Vehicles. 2021 17th International Conference on Mobility, Sensing and Networking (MSN), Exeter, 13-15 December 2021, 255-262. [Google Scholar] [CrossRef] 
[9] Ahamed.M, M.I., Mateen, S., Savadi, A., Haroon, P S, A.L. and Naushad, S. (2023) Wireless Charging and BMS for Optimizing Electric Vehicle Charging and Battery Management. 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballar, 29-30 April 2023, 1-7. [Google Scholar] [CrossRef] 
[10] 李振. 电动汽车车用锂离子电池组均衡系统研究[D]: [硕士学位论文]. 镇江: 江苏大学, 2016.
[11] 来鑫, 姜淳, 郑岳久. 一种锂离子动力电池组的复合均衡方法[J]. 农业装备与车辆工程, 2018, 56(10): 1-5.
[12] Srinivasan, R., Demirev, P.A. and Carkhuff, B.G. (2018) Rapid Monitoring of Impedance Phase Shifts in Lithium-Ion Batteries for Hazard Prevention. Journal of Power Sources, 405, 30-36. [Google Scholar] [CrossRef] 
[13] Stroe, D.I., Swierczynski, M., Stan, A.I., Knap, V., Teodorescu, R. and Andreasen, S.J. (2014) Diagnosis of Lithium-Ion Batteries State-Of-Health Based on Electrochemical Impedance Spectroscopy Technique. 2014 IEEE Energy Conversion Congress and Exposition (ECCE), Pittsburgh, 14-18 September 2014, 4576-4582. [Google Scholar] [CrossRef] 
[14] Osaka, T., Mukoyama, D. and Nara, H. (2015) Review—Development of Diagnostic Process for Commercially Available Batteries, Especially Lithium Ion Battery, by Electrochemical Impedance Spectroscopy. Journal of the Electrochemical Society, 162, A2529-A2537. [Google Scholar] [CrossRef] 
[15] 沈珍华, 戴锋, 焦凤, 等. 基于多频电化学阻抗谱的锂离子电池内部温度估计新方法[J/OL]. 中国电机工程学报: 1-10. 2024-07-20.[CrossRef] 
[16] Nara, H., Yokoshima, T. and Osaka, T. (2020) Technology of Electrochemical Impedance Spectroscopy for an Energy-Sustainable Society. Current Opinion in Electrochemistry, 20, 66-77. [Google Scholar] [CrossRef] 
[17] Galeotti, M., Cinà, L., Giammanco, C., Cordiner, S. and Di Carlo, A. (2015) Performance Analysis and SOH (State of Health) Evaluation of Lithium Polymer Batteries through Electrochemical Impedance Spectroscopy. Energy, 89, 678-686. [Google Scholar] [CrossRef] 
[18] Eddahech, A., Briat, O., Bertrand, N., Delétage, J. and Vinassa, J. (2012) Behavior and State-Of-Health Monitoring of Li-Ion Batteries Using Impedance Spectroscopy and Recurrent Neural Networks. International Journal of Electrical Power & Energy Systems, 42, 487-494. [Google Scholar] [CrossRef] 
[19] 田爱娜, 潘壮壮, 姜久春, 等. 基于电化学阻抗谱的锂离子电池分级安全预警方法[J]. 电源技术, 2024, 48(5): 874-880.
[20] Mc Carthy, K., Gullapalli, H. and Kennedy, T. (2022) Online State of Health Estimation of Li-Ion Polymer Batteries Using Real Time Impedance Measurements. Applied Energy, 307, Article ID: 118210. [Google Scholar] [CrossRef] 
[21] 杨浩, 张闯, 刘素贞, 等. 锂离子电池阻抗在线测量装置设计[J]. 电工电能新技术, 2024, 43(1): 61-71.
[22] Sihvo, J., Messo, T., Roinila, T. and Luhtala, R. (2018) Online Internal Impedance Measurements of Li-Ion Battery Using PRBS Broadband Excitation and Fourier Techniques: Methods and Injection Design. 2018 International Power Electronics Conference (IPEC-Niigata 2018-ECCE Asia), Niigata, 20-24 May 2018, 2470-2475. [Google Scholar] [CrossRef] 
[23] Lyu, C., Liu, H., Luo, W., Zhang, T. and Zhao, W. (2018) A Fast Time Domain Measuring Technique of Electrochemical Impedance Spectroscopy Based on FFT. 2018 Prognostics and System Health Management Conference (PHM-Chongqing), Chongqing, 26-28 October 2018, 450-455. [Google Scholar] [CrossRef]