Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy
By Matteo Galeotti, Lucio Cinà, Corrado Giammanco, S. Cordiner, Aldo Di Carlo. 2015
356 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/03f81baa98e7aa5c59520ade3c2e62ec7d05fd14
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
- David A. Howey
- Weihan Li
- Philipp Dechent
- N. Sengupta
- Anuradha M. Annaswamy
- Dirk Uwe Sauer
- Daniel-Ioan Stroe
- Lucian Mihet-Popa
In Electrical and Electronic Engineering
- David A. Howey
- Weihan Li
- Philipp Dechent
- N. Sengupta
- Anuradha M. Annaswamy
- Dirk Uwe Sauer
- Daniel-Ioan Stroe
- Lucian Mihet-Popa
Citations in the corpus
- A Review on Temperature-Dependent Electrochemical Properties, Aging, and Performance of Lithium-Ion Cells (2020, result): “[42] (Figure 2) and other researchers [43,44], however, Yang et al.”
- Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications (2023, methodology): “In [231], An integrated battery SOH monitoring technique based on parity relations is created.”
- Online capacity estimation of lithium-ion batteries with deep long short-term memory networks (2021, methodology): “…experimental approach is the first method for SOH estimation, and this can be done using trivial methods such as coulomb counting or more sophisticated approaches such as electrochemical impedance spectroscopy (EIS) [4,5] and incremental capacity and differential voltage (IC/DV) analysis [6 – 9].”