Battery internal temperature estimation by combined impedance and surface temperature measurement
By Robert R. Richardson, P. Ireland, David A. Howey. 2014
257 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/18f00c11f4b7e8308c766ea8a5e13e61e7060f7d
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
- Widanalage Dhammika Widanage
- Xinhua Liu
- Shichun Yang
- Christoph R. Birkl
- Billy Wu
- David A. Howey
- S. Alavi
- Satadru Dey
In Electrical and Electronic Engineering
- Widanalage Dhammika Widanage
- Xinhua Liu
- Shichun Yang
- Christoph R. Birkl
- Billy Wu
- David A. Howey
- S. Alavi
- Satadru Dey
Citations in the corpus
- Model-based real-time thermal fault diagnosis of Lithium-ion batteries (2016, methodology): “Richardson, Ireland, and Howey (2014) presented a method for battery internal temperature estimation by combining impedance and surface temperature measurements.”
- Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, background): “For instance, Richard-son et al. [42] used EIS to estimate the internal temperature of a 26650 LFP-Gr cell, which due to the limited sensitivity of the EIS to SOC made for an ideal candidate chemistry to decouple the SOC-temperature effects.”
- Time-domain fitting of battery electrochemical impedance models (2015, methodology): “Introduction Electrochemical impedance spectroscopy (EIS) is a useful non-invasive technique for the study of the dynamics and properties of materials and electrochemical systems [3–7] and may also be used to diagnose temperature [8] and state of health [9] of electrochemical cells non-invasively.”