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基于BP算法的蓄电池劣化程度预测 被引量:1

Battery Deterioration Prediction Based on Back Propagation Algorithm
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摘要 蓄电池可以作为后备电源为电力系统提供安全持续稳定的电源保障.通过对影响蓄电池劣化程度的因素进行分析,提出了利用BP算法构建模糊神经网络模型,并采集数据对蓄电池劣化程度进行预测,以保证蓄电池供电性能的可靠. The battery can be used as a backup power supply for the electric power system to provide the safe,sustainable and stable power protection.By analyzing the factors affecting the degree of battery deterioration,a fuzzy neural network model built by Back Propagation algorithm is proposed,and the data is collected to predict the degree of battery deterioration in order to ensure the battery-powered performance of the battery is reliable.
出处 《华北水利水电大学学报(自然科学版)》 2012年第A01期66-68,共3页 Journal of North China University of Water Resources and Electric Power:Natural Science Edition
关键词 蓄电池劣化 BP算法 模糊神经网络 预测 battery deterioration BP algorithm fuzzy neural network prediction.
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