钴酸锂智能电池管理系统的FPGA实现
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摘要
针对飞行器地面控制设备锂离子电池组的智能管理系统实现复杂、可靠性差问题,研究了基于FPGA的结构简单、可靠性高的锂离子电池智能管理系统。该智能电池管理系统的被动平衡管理模块能自动处理电池过冲过放问题,提供精准的满电停充标志;采用改进的安时积分法进行SOC测量,充分考虑电池的老化情况。经试验测试,智能电池管理系统的SOC模块能够达到专业的电池管理芯片容量测算精度,平衡管理模块能够有效延长电池使用时间,有效抑制过冲。
In order to resolve the implementation complexity and poor reliability problems for aircraft ground control equipment of Li-ion battery smart management system. This paper develops a simple structure,high reliability Li-ion battery smart management system based on the FPGA. The passive equilibrium control module of the smart battery management system can automatically deal with the problem of overcharge and over-discharge. And the module can provide accurate full charge stop sign also. The improved current integration method was used to measure SOC and the state of health for the battery was fully considered. After the test,SOC module of the smart battery management system can achieve professional battery management chip capacity measurement accuracy,balance management module can effectively prolong the life time of the battery,restrain the overcharge effectively.
In order to resolve the implementation complexity and poor reliability problems for aircraft ground control equipment of Li-ion battery smart management system. This paper develops a simple structure,high reliability Li-ion battery smart management system based on the FPGA. The passive equilibrium control module of the smart battery management system can automatically deal with the problem of overcharge and over-discharge. And the module can provide accurate full charge stop sign also. The improved current integration method was used to measure SOC and the state of health for the battery was fully considered. After the test,SOC module of the smart battery management system can achieve professional battery management chip capacity measurement accuracy,balance management module can effectively prolong the life time of the battery,restrain the overcharge effectively.
引文
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[11]李国洪,凌牧.基于FPGA的动力电池管理系统研究与开发[J].电子技术应用,2011,37(10):120-122.Li Guohong,Ling Mu.The research and development of battery management system based on FPGA[J].Computer Technology and Its Applications,2011,37(10):120-122.
[12]Texas Instruments Bq40z50-R1 1-Series,2-Series,3-Series,and 4-Series Li-Ion Battery Pack Manager[M].2015.
[2]Zhu Fangfang,Liu Guoan,Tao Cai et al.Battery management system for Li-ion battery[J].Journal of Engineering,v2017,n13,p 1437-1440,2017.
[3]杨文荣,朱赛飞,陈阳,等.基于改进安时积分法估计锂离子电池组SOC[J].电源技术,2018,42(2):183-184,246.Yang Wenrong,Zhu Saifei,Chen Yang,et al.SOC estimation of lithium-ion battery based on improved ampere-hour integral method[J].Chinese Journal of Power Sources,2018,42(2):183-184,246.
[4]Nagata Jun-Ichi,Kawasaki Kenichi,Nakamoto,Hiroyuki Source.Abattery management system adapted for an energy harvester with a lowpower state of charge monitoring method and a 24 microwatt intermittently enabled Coulomb counter[J].Conference Proceedings-IEEE Applied Power Electronics Conference and Exposition-APEC,v 2018-March,p 3556-3562,April 18,2018,APEC 2018-33rd Annual IEEEApplied Power Electronics Conference and Exposition.
[5]冯莉原,宋凌珺,周兴振,等.钴酸锂电池性能研究[J].电源技术,2018,42(3):339-342.Feng Liyuan,Song Lingjun,Zhou Xingzhen,et al.Study on performance of Li Co O2 battery[J].Chinese Journal of Power Sources,2018,42(3):339-342.
[6]张金龙,佟微,孙叶宁,等.锂电池健康状态估算方法综述[J].电源学报,2017,15(2):128-134.Zhang Jinlong,Tong Wei,Sun Yening,et al.Review of state of health calculation method for lithium battery[J].Journal of Power Supply,2017,15(2):128-134.
[7]周英华,蒋庆斌.一种实用型电池均衡技术研究[J].电子器件,2018,41(1):145-151.
[8]Xue Fangrong,Ling Zhi,Yang Yubing et al.Design and implementation of novel smart battery management system for FPGA based portable electronic devices[J].Energies,v 10,n 3,2017.
[9]谢信奇,秦会斌.一种新型锂电池充电技术[J].传感器与微系统,2018,37(4):73-76.
[10]Badrinath Ashwin Srinivas,Udupa Sumukha V.Source.Protection circuitry and passive balancing for battery management systems part[C].6th International Conference on Computation of Power,Energy,Information and Communication,ICCPEIC 2017,v 2018-January,p 510-515,February 9,2018,6th International Conference on Computation of Power,Energy,Information and Communication,ICCPEIC,2017.
[11]李国洪,凌牧.基于FPGA的动力电池管理系统研究与开发[J].电子技术应用,2011,37(10):120-122.Li Guohong,Ling Mu.The research and development of battery management system based on FPGA[J].Computer Technology and Its Applications,2011,37(10):120-122.
[12]Texas Instruments Bq40z50-R1 1-Series,2-Series,3-Series,and 4-Series Li-Ion Battery Pack Manager[M].2015.