微型机与应用2011，Vol.30Issue(22)：82-84,87,4.
基于自适应神经网络模糊推理系统的蓄电池SOH预测
Prediction of battery SOH based on adaptive neural fuzzy inference system
李刚 1谢永成 1李光升 1朱祺1
作者信息
- 1. 装甲兵工程学院控制工程系,北京100072
- 折叠
摘要
Abstract
There are many factors influence armored vehicles lead-acid battery SOH, so it＇s hard to predict it accurately. Aiming at this characteristic, the paper puts forward a battery SOH prediction model using the adaptive neural fuzzy inference system. After confirming the input variables, then do the MATLAB simulation and real-time data validation. The result shows the model has a high precision, and it has a high practical value when using in the armored vehicles lead-acid battery SOH prediction.关键词
蓄电池SOH/自适应神经网络模糊推理系统/预测模型/MATLABKey words
battery SOH/ANFIS/prediction model/MATLAB分类
信息技术与安全科学引用本文复制引用
李刚,谢永成,李光升,朱祺..基于自适应神经网络模糊推理系统的蓄电池SOH预测[J].微型机与应用,2011,30(22):82-84,87,4.
