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State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method
基于混合数据驱动的锂离子电池健康状态估计和剩余使用寿命预测
A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
锂离子电池健康状况估计和剩余使用寿命预测的综述
A health indicator extraction based on surface temperature for lithium-ion batteries remaining useful life prediction
基于表面温度的锂离子电池剩余寿命预测健康指标提取
Remaining Useful Life Estimation of Lithium-Ion Batteries Based on Optimal Time Series Health Indicator
基于最优时间序列健康指标的锂离子电池剩余使用寿命估算
Remaining useful life prediction of lithium-ion batteries based on peak interval features and deep learning
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture
A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
一种新型的在线锂离子电池剩余使用寿命预测健康指标
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Health Indicator and Gaussian Process Regression Model
An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries
一种用于电动汽车锂电池健康状态估计和剩余使用寿命预测的端到端神经网络框架
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