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机构地区:[1]清华大学精密仪器与机械学系,北京100084 [2]深圳清华大学研究院,广东深圳518057
出 处:《电测与仪表》2009年第3期9-13,共5页Electrical Measurement & Instrumentation
摘 要:针对蓄电池EIS常规测量方法存在耗时长的缺点,本文提出一种快速估测蓄电池EIS的方法:对目标蓄电池进行短时、周期性、小电流放电,对采样后的放电电流以及蓄电池端电压作DFT计算,得到蓄电池在若干个离散频率点下的内部阻抗值,据此对其等效电路模型进行即时辨识,依据该电路模型计算出目标蓄电池的EIS。与交流注入法的对比实验结果表明:基于该方法得到的蓄电池EIS估测结果,与扫频分析得到的实测值之间具有很好的一致性。该方法避免了常规EIS测量所需要的扫频分析,使得依据EIS对蓄电池的状态进行实时、在线监测成为可能。According to disadvantage of long measurement time in traditional methods of Electrochemical Impedance Spectroscopy (EIS) measurement for storage batteries, this paper presents a fast estimation method for EIS measurement which discharges the objective storage batteries with short-time, periodic and small current. Thus based on the sampled discharge current and terminal voltage of the battery, a Discrete Fourier Transform (Db-q') is computed for its inner impedance value in specified discrete frequencies and hence EIS of the objective battery is estimated according to its electronic circuit model. Comparing to the Alternate Current (AC) method, experimental results have shown that based on this method, for the storage battery, the EIS estimation results have a fine consistency with that from the Frequency Sweep Analysis (FSA). In summary, the method presented in this paper for traditional EIS measurement has avoided usage of FSA, resulting in a possibility of an EIS-based real-time and online state monitoring on storage batteries.
分 类 号:TM912[电气工程—电力电子与电力传动]
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