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Data for: Multi-objective decision analysis for data-driven based estimation of battery states: a case study of remaining useful life estimation

NIAID Data Ecosystem2026-03-12 收录

锂离子电池寿命预测

电池状态估计

数据链接：

https://data.mendeley.com/datasets/h99vxd6wjn 数据链接链接失效反馈

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资源简介：

The acceleration aging experiment of lithium-ion battery

应用场景：

创建时间：

2021-04-26

电池状态估计

卷积神经网络

The provided code files are utilized to construct a convolutional neural network (CNN)-based state of health (SOH) estimator using data from Samsung 30T cylindrical 21700 cells. These files encompass

DataCite Commons2025-01-28 更新50

Remaining useful life prediction for lithium-ion batteries using a quantum particle swarm optimization-based particle filter

锂离子电池寿命预测

预测性健康管理

A novel RUL prediction approach for lithium-ion batteries using quantum particle swarm optimization (QPSO)-based particle filter (PF) is proposed. Compared to particle swarm optimization (PSO)-based P

NIAID Data Ecosystem20

Battery Aging Dataset

电池状态估计

锂离子电池老化建模

This dataset originates from experimental aging tests conducted on 13 lithium iron phosphate (LiFePO4) 18650 cells. The tests were performed under controlled room-temperature conditions using an urban

Zenodo2025-10-04 更新10

Imbalanced retired battery data

电池性能评估

电池状态估计

A random batch of retired batteries from real-world applications is tested as follows.Step 1: The battery is subjected to a charging process under a 1C rate CC regimen, reaching a cut-off voltage of 3

IEEE20

Realtime Battery State of Charge Estimation on Embedded devices

电池状态估计

嵌入式能源管理

In this project, realtime Machine Learning based Battery state of charge (SOC) estimation is performed on embedded devices. Typically WSN and IoT devices are focused (mostly Texas Instrument CC13xx 26

DataCite Commons2026-02-28 更新10

Data for: Multi-objective decision analysis for data-driven based estimation of battery states: a case study of remaining useful life estimation

资源简介：

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