The invention relates to a lithium battery dynamic peak power prediction method. The method mainly comprises the following steps: firstly, carrying out SOC-based continuous peak current estimation andequivalent circuit model-based continuous peak current estimation; solving peak current simultaneously meeting the dynamic voltage characteristic, the current limit value, the SOC and the temperatureconstraint of the battery; and obtaining the lithium battery peak power prediction power Pm under the multi-parameter constraint, predicting the lithium battery peak power Pn by using a BP neural network, performing difference comparison on the Pm and the Pn, and performing weighting processing to obtain a final lithium battery peak power prediction result.
本发明为一种锂电池动态峰值功率预测方法,主要步骤包括首先进行基于SOC的持续峰值电流估计与基于等效电路模型的持续峰值电流估计,然后求取同时满足电池动态电压特性、电流限值、SOC、温度约束的峰值电流,获得多参数约束下的锂电池峰值功率预测功率P,使用BP神经网络预测锂电池峰值功率P,将P与P做差比较后进行加权处理得锂电池峰值功率预测最终结果。
Lithium battery dynamic peak power prediction method
一种锂电池动态峰值功率预测方法
30.06.2020
Patent
Elektronische Ressource
Chinesisch
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