Battery Life Evaluation Method Based on Temporal Convolution Network
ObjectiveTo improve the technical economy of battery system applications, a temporal convolutional network (TCN) is employed to evaluate battery life from two perspectives: State of health (SOH) and remaining useful life (RUL). SOH is typically quantified by capacity, while RUL is measured in terms...
Saved in:
| Main Authors: | SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of Journal of Sichuan University (Engineering Science Edition)
2025-07-01
|
| Series: | 工程科学与技术 |
| Subjects: | |
| Online Access: | http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300930 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries
by: Luping Wang, et al.
Published: (2025-06-01) -
Remaining useful life prediction of li-ion batteries based on an improved transformer model
by: Qingsong Wang, et al.
Published: (2024-01-01) -
Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model
by: Yuqi Liang, et al.
Published: (2024-12-01) -
A review of lithium-ion battery state of health and remaining useful life estimation methods based on bibliometric analysis
by: Xu Lei, et al.
Published: (2024-12-01) -
Navigating the spectrum of battery health management in electric vehicles: A comprehensive review
by: Saranathan L, et al.
Published: (2025-09-01)