电源技术2017，Vol.41Issue(5)：708-710,3.
基于人工神经网络估算锂离子电池的SOH
State of health estimation for lithium-ion batteries based on ANN
何发尧 1胡欲立 1郭广华 1郑唯1
作者信息
- 1. 西北工业大学航海学院,陕西西安710072
- 折叠
摘要
Abstract
More and more power machines choose lithium-ion batteries as their power source.The accurate estimation of SOH for the lithium-ion batteries can ensure the power machine safely and reliably operate.Under different experimental conditions,the charge-discharge cycle test was conducted for 18650-type lithium-ion batteries,and the batteries' charge-discharge cycle characteristics were obtained by the experimental results.According to the cycle characteristics,the artificial neural network was chosen to find the nonlinear relationship between the battery terminal voltage and SOH,and then the SOH of the lithium-ion batteries was estimated.The estimation results show that the BP neural network can accurately estimate the SOH of lithium-ion batteries,and the estimation error is basically less than 3％.关键词
锂离子电池/SOH/动力电池/神经网络Key words
lithium-ion batteries/SOH/power batteries/neural network分类
信息技术与安全科学引用本文复制引用
何发尧,胡欲立,郭广华,郑唯..基于人工神经网络估算锂离子电池的SOH[J].电源技术,2017,41(5):708-710,3.
