首页> 外文OA文献 >State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network

【2h】

State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network

机译：基于时间卷积网络的锂离子电池的健康监测状态和剩余的寿命预测

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Danhua Zhou; Zhanying Li; Jiali Zhu; Haichuan Zhang; Lin Hou;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter [J] . Hancheng Dong, Xiaoning Jin, Yangbing Lou, Journal of power sources . 2014,第deca20期

机译：基于支持向量回归-粒子滤波的锂离子电池健康状态监测及剩余使用寿命预测
2. State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network [J] . Li Penghua, Zhang Zijian, Xiong Qingyu, Journal of power sources . 2020,第May31期

机译：基于变体长短期记忆神经网络的锂离子电池剩余的健康状态估算和剩余的寿命预测
3. Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on Empirical Mode Decomposition and Deep Neural Networks [J] . Qiao Jianshu, Liu Xiaofeng, Chen Zehua Quality Control, Transactions . 2020,第期

机译：基于经验模型分解和深神经网络的锂离子电池剩余使用寿命的预测
4. Health monitoring and remaining useful life estimation of lithium-ion aeronautical batteries [C] . Penna J.A.M., Nascimento C.L., Rodrigues L.R. Aerospace Conference, 2012 IEEE . 2012

机译：锂离子航空电池的健康监测和剩余使用寿命估计
5. Nonlinear Stochastic Filtering for Online State of Charge and Remaining Useful Life Estimation of Lithium-Ion Battery [D] . Daravath, Suresh. 2018

机译：非线性随机滤波，用于在线充电状态和锂离子电池的剩余使用寿命估算
6. Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture [O] . Lingling Li, Pengchong Wang, Kuei-Hsiang Chao, -1

机译：基于高斯过程混合的锂离子电池剩余使用寿命预测
7. Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter [O] . Yi Wu, Wei Li, Youren Wang, 2019

机译：使用神经网络和基于BAT基粒子过滤器剩余的锂离子电池的使用寿命预测
8. Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries. [R] . A. Saxena B. Saha J. Liu K. Goebel W. Wang 2010

机译：自适应递归神经网络用于剩余锂离子电池寿命预测。

State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network

著录项

引文网络

相似文献

相关主题

期刊订阅