Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells

Lee, Seong Beom and Pratt, H D and Travis M, Anderson and Mitra, Kishalay (2018) Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells. In: ECS Transactions, 2018, United States.

Full text not available from this repository. (Request a copy)


Mathematical models of Redox Flow Batteries (RFBs) can be used to analyze cell performance, optimize battery operation, and control the energy storage system efficiently. Among many other models, physics-based electrochemical models are capable of predicting internal states of the battery, such as temperature, state-of-charge, and state-of-health. In the models, estimating parameters is an important step that can study, analyze, and validate the models using experimental data. A common practice is to determine these parameters either through conducting experiments or based on the information available in the literature. However, it is not easy to investigate all proper parameters for the models through this way, and there are occasions when important information, such as diffusion coefficients and rate constants of ions, has not been studied. Also, the parameters needed for modeling charge-discharge are not always available. In this paper, an efficient way to estimate parameters of physics-based redox battery models will be proposed. Furthermore, this paper also demonstrates that the proposed approach can study and analyze aspects of capacity loss/fade, kinetics, and transport phenomena of the RFB system

[error in script]
IITH Creators:
IITH CreatorsORCiD
Mitra, Kishalay
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Indexed in Scopus
Subjects: Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Library Staff
Date Deposited: 11 Oct 2019 05:03
Last Modified: 11 Oct 2019 05:03
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 6442 Statistics for this ePrint Item