Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach using Zero-Dimensional Models

[+] Author and Article Information
Seong Beom Lee

4200 MARY GATES MEMORIAL DR.NE. X274 Seattle, WA 98105 seongl2@uw.edu

Kishalay Mitra

IITH Main Road, Near NH-65, Sangareddy, Kandi Sangareddy, Telangana 502285 India kishalay@iith.ac.in

Harry D. Pratt, III

Sandia National Laboratories, Albuquerque, NM 87185, USA Albuquerque, NM 87185 hdpratt@sandia.gov

Travis M. Anderson

Sandia National Laboratories Albuquerque, NM 87185 tmander@sandia.gov

Venkatasailanathan Ramadesigan

Department of Energy Science and Engineering IIT Bombay, Powai Mumbai, Maharashtra 400076 India venkatr@iitb.ac.in

Babu R. Chalamala

Sandia National Laboratories Albuquerque, NM 87185 bchalam@sandia.gov

Venkat R. Subramanian

1 Seattle St Seattle, WA 98195 vsubram@uw.edu

1Corresponding author.

Manuscript received February 28, 2019; final manuscript received April 12, 2019; published online xx xx, xxxx. Assoc. Editor: Partha P. Mukherjee.

ASME doi:10.1115/1.4044156 History: Received February 28, 2019; Accepted April 14, 2019


In this paper, we study, analyze, and validate some important zero-dimensional physics-based models for Vanadium Redox Batch Cell (VRBC) systems and formulate an adequate physics-based model which can predict the battery performance accurately. In the model formulation process, a systems approach to multiple parameters estimation has been conducted, using VRBC systems at low C-rates (∼ C/30). In this batch cell system, the effect of ions’ crossover through the membrane is dominant, and therefore, capacity loss phenomena can be explicitly observed. Paradoxically, this means that using the batch system might be a better approach to identifying a more suitable model describing the effect of ions transport. Next, we propose an efficient systems approach, which enables to help understand the battery performance quickly by estimating all parameters of the battery system. Lastly, open source codes, executable files, and experimental data are provided to enable people's access to robust and accurate models and optimizers. In battery simulations, different models and optimizers describing the same systems produce different values of the estimated parameters. Providing an open access platform can accelerate the process to arrive at robust models and optimizers by continuous modification from users’ side.

Copyright © 2019 by ASME
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