The distribution of relaxation times as basis for generalized time-domain models for Li-ion batteries
By Jan-Philip Schmidt, Philipp Berg, M. Schönleber, Adam Z. Weber, E. Ivers-Tiffée. 2013
180 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/2a8a4c7d69041435834f270d58a3bf4246233a34
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
- Xiaosong Hu
- Widanalage Dhammika Widanage
- Michael G. Pecht
- David A. Howey
- Zhenpo Wang
- Lei Zhang
- Christoph R. Birkl
- Xinhua Liu
In Electrical and Electronic Engineering
- Xiaosong Hu
- Widanalage Dhammika Widanage
- Zhenpo Wang
- Michael G. Pecht
- David A. Howey
- Christoph R. Birkl
- Xinhua Liu
- Shichun Yang
Citations in the corpus
- A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018, background): “In integer-order models (IOMs) of Li-ion batteries, CPEs are either approximated by ideal capacitors [50], or a number of resistor-capacitor (RC) networks [13, 51], or relaxation times [52].”
- Time-domain fitting of battery electrochemical impedance models (2015, background): “In order to address this challenge, CPEs for Li-ion ECMs are generally either approximated by ideal capacitors [20], or by a series connection of numerous R/C pairs [21–23], or a distribution of relaxation times [24].”
- Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, background): “An approach which is more commonly used in the solid oxide fuel cell field, but is becoming increasingly topical in batteries, is the distribution of relaxation times (DRT) [43] .”