【摘要】 综合考虑环境温度、电流倍率、循环次数和贮存时间等因素的影响,根据实测数据的分析结果,对机载锂离子电池剩余容量的预测进行建模;用基于数据驱动的方法实现对剩余使用寿命(RUL)的预测建模。构建的实验验证平台测试表明,剩余容量预测精度误差不大于3. 74%,RUL预测误差不大于3%,所建立模型的准确性得到验证。更多还原

【Abstract】 By comprehensively taking the influence of environment temperature,current ratio,number of cycles and storage time into consideration,the prediction of available capacity modeling was realized based on the analysis results of experimental data. A datadriven approach was used to predict remaining useful life (RUL). The accuracy error of available capacity prediction was not greater than 3. 74% while that of RUL prediction was not greater than 3%,the accuracy of the established model was verified.更多还原