摘要
为了准确有效地预测电池的荷电状态,应用模糊神经网络,建立了电池荷电状态的预测模型,对MH/Ni电池进行荷电状态预测。系统使用不同的实验数据对网络进行训练和测试,结果表明,该方法能较准确地预测电池的荷电状态,有良好的实用性。
To estimate SOC of batteries accurately and effectively, the estimation model of the battery SOC was established by fuzzy neural network, and SOC of MWNi batteries was estimated. The different experimental data was used to train and test network. The results show that this method can accurately predict the battery SOC, and has good practicality.
出处
《电源技术》
CAS
CSCD
北大核心
2012年第9期1316-1318,共3页
Chinese Journal of Power Sources
