摘要
针对机载锂电池应用中的安全保障问题,提出了一种基于滑动平均的关键过程参量检测新方法。该方法通过滑动平均处理,实现对机载锂电池应用过程中的安全实时检测。实验结果表明,该方法能够实现对机载锂电池关键参量20 ms循环周期实时检测,单体电压检测精度高于1‰FS,总电压检测精度高于5‰FS,加热与放电电流检测精度高于5‰FS,实时保护时间为50 ms。提出的关键参量实时检测方法具有较高的稳定性,能够有效保证锂电池组应用中的可靠性,该方法的提出能够对锂电池组的安全使用提供技术和方法参考。
A novel method is proposed based on moving average approach to detect the key process parameters of the airborne lithium batteries, aiming to solve its security application issues. The method is realized by constructing moving average model, which realizes its real-time security inspection. The experimental results show that this method can achieve 20 ms cycle real-time key parameter detection. The cell voltage detection accuracy is higher than 1‰FS. The total voltage detection accuracy is higher than 5‰FS. The heating and discharging current detection accuracy is 5‰FS and the real-time protecting execution time is 50 ms. This proposed key parameter real-time detection method has high stability advantages, which can effectively guarantee the application reliability for lithium battery packs. The proposition of this method can provide reliable application techniques and reference methods for lithium batteries.
出处
《电子技术应用》
北大核心
2015年第3期141-144,共4页
Application of Electronic Technique
基金
四川省科技支撑计划(2014GZ0078)
实验室开放基金(14xnkf09)
实验技术研究项目(14syjs-78)
关键词
锂电池组
安全保障
关键参量
实时检测
信号估计
lithium battery pack
security
key parameters
real-time detection
signal estimation
