锂离子电池性能优越, 已在B787 等机型上得到应用. 锂离子电池性能随着使用次数增加而衰退,
准确预测锂电池剩余使用寿命从而及时维护/更换, 对航班安全飞行具有重要意义 …

Lithium-ion batteries have been applied in civil aircraft such as the B787 with excellent
performance. As the service time of lithium-ion batteries increases, their performance …

Abstract Support Vector Machine (SVM) has received widespread attention in the field of
accurate estimation of the health status and remaining life prediction of lithium-ion batteries …

The capacity prediction of lithium-ion battery (LIB) plays a very important role in health
management and the prediction of the performance degradation degree for battery. Accurate …

Prediction of remaining useful life (RUL) of Lithium-ion batteries (LIBs) is a key component of
the prognostics and health management (PHM). A method based on improved whale …

Accurate remaining useful life (RUL) prediction is critical for lithium-ion battery management
systems (BMS). A prediction method combining Random Forest (RF) and Gated Recurrent …

The accuracy of predicting the remaining useful life of lithium batteries directly affects the
safe and reliable use of the supplied equipment. Since the degradation of lithium batteries …

摘要锂离子电池凭借其优越的性能广泛用于电动汽车及储能领域. 然而, 随着使用时间增加,
锂离子电池性能大幅度衰退, 会间接导致设备性能衰退或发生故障. 因此, 准确预测锂离子电池 …

The wide popularity of lithium-ion batteries in the aerospace field accelerates the
development of its remaining useful life (RUL) prediction. The RUL of lithium-ion batteries …

Accurate prediction of the Remaining Useful Life (RUL) of Lithium-ion batteries (LiBs) is
crucial for the safe and reliable operation of new energy vehicles. This paper analyzes the …