Coupled thermal–electrochemical modelling of uneven heat generation in lithium-ion battery packs
By Billy Wu, Vladimir Yufit, M. Marinescu, Gregory J. Offer, Ricardo Martinez-Botas, Nigel P. Brandon. 2013
264 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1e6fd1570b2fc3cb5a4a6ba6d4217e40f8029178
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Xinhua Liu
- Shichun Yang
- Widanalage Dhammika Widanage
- Moh Yamani Idna Idris
- Saad Mekhilef
- Prashant Shrivastava
- Tey Kok Soon
- Billy Wu
In Electrical and Electronic Engineering
- Xinhua Liu
- Shichun Yang
- Widanalage Dhammika Widanage
- Moh Yamani Idna Idris
- C. Orendorff
- Saad Mekhilef
- Prashant Shrivastava
- Tey Kok Soon
Citations in the corpus
- Failure propagation in multi-cell lithium ion batteries (2015, background): “[13] Recent work exploring behavior of battery systems has largely been focused on long-term performance issues; [17, 19-24] however some information on failure propagation may be inferred.”
- A review on research status and key technologies of battery thermal management and its enhanced safety (2018, background): “Concerning about the Li‐ion transport phenomena in the porous electrode and electrolyte, a three‐dimension thermal/electrical/electrochemical coupled modeling of lithium‐ion battery coupling with porous electrode, mass conservation laws, and concentrated solution theories to accurately capture Li‐io”
- Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, methodology): “[121], the P2D model was coupled with a thermal model for the development of BMS to address thermal runaway and performance degradation caused by dynamic loading (charge/discharge at medium-to-high C-ratings) of the LIB.”
- Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, background): “If these problems are not detected significant load heterogeneities can build in battery packs causing accelerated degradation [33 , 34] .”