摘要
MH Ni电池放电容量的预测和估计,是电池管理系统中一个非常重要的内容。某一状态下MH Ni电池的放电容量是放电电流、电压、温度以及过去电池充放电的历史等参数的函数。运用ANN方法,即人工神经网络方法,可逼近任何多输入输出参数函数的性能,预测了不同放电电流和电压下MH Ni电池放电容量的大小,结果表明,ANN方法有良好的实用性,可用来预测MH Ni电池的放电容量。
The prediction o f discharge capacity of Ni-MH battery is a main part of battery management syste m. Generally, the discharge capacity of Ni-MH batteries is related to various pa rameters, including discharge current, v oltage and charge/discharge history data . The artificial neural network (ANN) me thod, which can be used to approach non- linear function with many input/output p arameters, is originally used to estimat e the discharge capacity of Ni-MH batter ies when changing the discharge current and voltage. The computed result shows t hat the ANN method is a quite accurate a lgorithm and can be used in the predicti on of discharge capacity of Ni-MH batter ies.
出处
《电源技术》
CAS
CSCD
北大核心
2003年第3期305-307,共3页
Chinese Journal of Power Sources
基金
国家自然科学基金资助(20273047)
