Anti-interference lithium-ion battery intelligent perception for thermal fault detection and localization
Lithium-ion batteries are widely employed in electric vehicles, power grid energy storage, and other fields. Thermal fault diagnostics for battery packs is crucial to preventing thermal runaway from impairing the safe operation and extended cycle service life of batteries. Therefore, a lithium-ion b...
Saved in:
Main Authors: | Tian, Luyu, Dong, Chaoyu, Wang, Rui, Mu, Yunfei, Jia, Hongjie |
---|---|
Other Authors: | Energy Research Institute @ NTU (ERI@N) |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/180623 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics
by: Hu, Fengshuo, et al.
Published: (2024) -
DPGS: data-driven photovoltaic grid-connected system exploiting deep learning and two-stage single-phase inverter
by: Tian, Luyu, et al.
Published: (2024) -
Lithium-ion battery health estimation with real-world data for electric vehicles
by: Tian, Jiaqiang, et al.
Published: (2023) -
Data-driven thermal fault detection of lithium-ion batteries
by: Yee, Eugene Jun Jian
Published: (2022) -
The lithium ion battery: From industry to diverse ecosystems
by: KIM, Kijong, et al.
Published: (2023)