| 基于BP算法的蓄电池劣化程度预测 |
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| 引用本文： | 高庆敏,罗腾达. 基于BP算法的蓄电池劣化程度预测[J]. 华北水利水电学院学报, 2012, 0(1): 66-68 |
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| 作者姓名： | 高庆敏 罗腾达 |
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| 作者单位： | 华北水利水电学院 |
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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.
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| 关 键 词： | 蓄电池劣化 BP算法 模糊神经网络 预测 |
Battery Deterioration Prediction Based on Back Propagation Algorithm |
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| GAO Qing-min,LUO Teng-da. Battery Deterioration Prediction Based on Back Propagation Algorithm[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2012, 0(1): 66-68 |
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| Authors: | GAO Qing-min LUO Teng-da |
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| Affiliation: | (North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China) |
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| Abstract: | 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. |
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| Keywords: | battery deterioration BP algorithm fuzzy neural network prediction. |
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