摘要
本文针对锂电池组成的船舶储能系统,分析锂电池的故障模式和表现特征,建立基于模糊神经网络锂电池组故障诊断模型,通过实验数据进行模型训练并进行仿真。仿真结果证明所提出的模型的正确性,实现锂电池的故障预警,提高系统运行稳定性。
Aimed at ship＇s energy storage system with the lithium battery, this paper analyzes the features and failure modes of lithium batteries, and sets up a failure diagnosis model for lithium batteries based on fuzzy neural network. The model training and simulation are accomplished through the experimental data. The simulation results demonstrate the correctness of the proposed model. The fault warning for lithium battery is realized and the operating stability of the system is improved
出处
《船电技术》
2016年第2期22-25,共4页
Marine Electric & Electronic Engineering
基金
交通部科技项目(2015329815160)
福建省科技重点项目(2013H0034)
福建省自然科学青年基金项目(2013J05081)
