电工技术学报2017，Vol.32Issue(15)：180-189,10.DOI:10.19595/j.cnki.1000-6753.tces.160557
一种锂离子电池荷电状态估计与功率预测方法
Method for Estimation of State of Charge and Power Prediction of Lithium-Ion Battery
摘要
Abstract
In order to estimate the state of charge (SOC) of lithium-ion battery precisely and predict the actual maximum charge/discharge power of the battery,a second-order RC hysteresis model was established based on the hysteresis phenomena which appeared during the charge-discharge process.The H∞ filter algorithm was used to estimate SOC,which avoided the error caused by the statistical characteristics of noise.This method greatly reduces the model error and algorithm error,and improves the robustness of parameter estimation.Regard the battery voltage,current and the estimation of SOC as constraint conditions to predict the actual maximum charge-discharge power of the lithium-ion battery.Compared with the hybrid pulse power characterization (HPPC)method,the pulse charge-discharge experiments showed that the method proposed had higher accuracy in estimating the battery power.关键词
锂离子电池/电池模型/荷电状态/功率状态Key words
Lithium-ion battery/battery model/state of change/state of power分类
信息技术与安全科学引用本文复制引用
程泽,孙幸勉,程思璐..一种锂离子电池荷电状态估计与功率预测方法[J].电工技术学报,2017,32(15):180-189,10.基金项目
国家自然科学基金项目资助(61374122). （61374122）
