Scalability and performance study of an innovative battery based on electric-circuit models

In this article, we present a performance study and benchmarking approach for low technology readiness level (TRL) batteries, based on an interpretation of circuit-based battery model parameters. We show that when these parameters are tailored to the underlying cell, they can be a predictor of battery efficiency and dissipated power losses under different operating conditions and state of charge. We then consider electrical circuit parameters in a typical use case scenario (i.e. with a typical charge/discharge rate and battery cell capacity). It is then shown how in this scenario the expected efficiency and power losses can be forecasted. We additionally derive a forecast for the scaling of the battery parameters with its coulombic capacity, and validate this by comparing the results of pulse discharge measurements from two commercial lithium iron phosphate batteries with different capacities. Finally, we use our new methodology to predict the performance of a particular low TRL battery. The example which is taken in this article is a cell which uses a solid-state electrolyte made from bacterial cellulose, and is developed in scope of the EU project TwinVECTOR. It is currently being produced and developed on laboratory scale at the Tomas Bata University in Zlín.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17273128
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scalability and performance study of an innovative battery based on electric-circuit models

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Scalability and performance study of an innovative battery based on electric-circuit models

article en

Abstract

In this article, we present a performance study and benchmarking approach for low technology readiness level (TRL) batteries, based on an interpretation of circuit-based battery model parameters. We show that when these parameters are tailored to the underlying cell, they can be a predictor of battery efficiency and dissipated power losses under different operating conditions and state of charge. We then consider electrical circuit parameters in a typical use case scenario (i.e. with a typical charge/discharge rate and battery cell capacity). It is then shown how in this scenario the expected efficiency and power losses can be forecasted. We additionally derive a forecast for the scaling of the battery parameters with its coulombic capacity, and validate this by comparing the results of pulse discharge measurements from two commercial lithium iron phosphate batteries with different capacities. Finally, we use our new methodology to predict the performance of a particular low TRL battery. The example which is taken in this article is a cell which uses a solid-state electrolyte made from bacterial cellulose, and is developed in scope of the EU project TwinVECTOR. It is currently being produced and developed on laboratory scale at the Tomas Bata University in Zlín.

Zenodo (CERN European Organization for Nuclear Research)
AIT Austrian Institute of Technology GmbH (AT), Tomas Bata University in Zlín (CZ)
Affordable and clean energy
Openalex Percentile: Top 40%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.