CAJ | 학술논문

现有电池 SOC 预测方法，大都基于开路电压、开路电流等外电路或者测量电源内阻的方法，而没有考虑到电源的内在特性，尤其没有考虑电池的自恢复效应的影响，且大都采用恒压、恒流放电的工作模式，难以实现对电池 SOC 的动态预测。针对电池 SOC 预测方法的缺点，提出了一种包含有电池自恢复效应的电池 SOC 动态预测方法：提出一款包含有电池自恢复效应的动态电池模型，基于此电池模型提出了计及电池自恢复效应的动态放电模型，并论述了此放电模型与自恢复效应的关系，仿真结果表明，本预测方法具有较高的预测精度，且可实现动态预测。
현유전지 SOC 예측방법，대도기우개로전압、개로전류등외전로혹자측량전원내조적방법，이몰유고필도전원적내재특성，우기몰유고필전지적자회복효응적영향，차대도채용항압、항류방전적공작모식，난이실현대전지 SOC 적동태예측。침대전지 SOC 예측방법적결점，제출료일충포함유전지자회복효응적전지 SOC 동태예측방법：제출일관포함유전지자회복효응적동태전지모형，기우차전지모형제출료계급전지자회복효응적동태방전모형，병논술료차방전모형여자회복효응적관계，방진결과표명，본예측방법구유교고적예측정도，차가실현동태예측。
Most existing battery state of charge(SOC)prediction methods are based on external circuit measurement such as open circuit voltage and open circuit current or internal resistance measurement of the power. They have not taken into account the inherent characteristics of the power supply,especially the self - recovery effect of the battery. In addition,most of these methods use constant voltage or a constant current discharge mode,which is difficult to a-chieve dynamic prediction of battery SOC. Considering these disadvantages,the paper presents a dynamic prediction method for battery SOC with self - recovery effect. The dynamic battery model including self - recovery effect is pro-posed. Based on the model,the dynamic discharge model considering self - recovery effect is proposed,and the rela-tionship between the model and the self - recovery effect is discussed. Simulation results show that the proposed pre-diction method has higher accuracy,and can achieve dynamic prediction.