张朋,贺焕林,王晓雷,肖俊明,范福玲,常静.基于自恢复效应电池放电模型及其应用研究[J].电测与仪表,2014,51(19):. Zhang Peng,He-Fan-lin,Wang Xiao-lei,Xiao Jun-ming,FAN Fu-ling,CHANG Jing.Research on the Dynamic Self-recovery Eeffect Battery Model and its Application.[J].Electrical Measurement & Instrumentation,2014,51(19):.
基于自恢复效应电池放电模型及其应用研究
Research on the Dynamic Self-recovery Eeffect Battery Model and its Application.
The existing the battery SOC forecast method, largely based on the open-circuit voltage, open circuit current external circuit or method of measuring the power of internal resistance without taking into account the inherent characteristics of the power supply, in particular, did not consider the battery self-recovery effect, and is mostly used constant pressure or a constant current discharge mode of operation, difficult to achieve a dynamic prediction of the battery SOC. For battery SOC detection method has the disadvantage, the paper presents a battery self-recovery effect of battery SOC dynamic detection and prediction methods: proposed a dynamic battery model contains a battery of self-recovery effect contains the battery, this battery-based model dynamic discharge model of self-recovery effect, and prove that the effect of the discharge model with self-recovery relationship, the simulation results show that the prediction method has higher prediction accuracy, and dynamic forecast.
