Accurate battery models matter: Improving battery performance assessment using a novel energy management architecture

Hao Wang, S. Ali Pourmousavi, Wen L. Soong, Xinan Zhang, Rui Yuan

Research output: Contribution to journalArticlepeer-review

Abstract

Inaccurate modelling of battery energy storage systems (BESSs) leads to significant financial and technical challenges, undermining investment confidence in large-scale BESS projects and other applications and hindering global carbon reduction efforts. This paper underscores the critical need for precise battery modelling using a thorough evaluation of experimental data to illustrate the limitations of inaccurate battery models in remaining energy estimation. In addition, advanced simulation studies are conducted using actual residential data to demonstrate the negative consequences of power mismatch and economic returns using these inaccurate models. Key discoveries highlight how accurate battery models can improve the accuracy of techno-economic evaluation and mitigate investment risks. This is demonstrated using a novel and computationally tractable energy management system (EMS) architecture. Future research should focus on developing standardised modelling protocols and fostering collaboration among manufacturers, researchers, and operators to bridge existing knowledge gaps. By increasing public awareness about the significance of accurate battery modelling and promoting interdisciplinary cooperation, this work aims to drive improved decision-making and accelerate the adoption of reliable, efficient BESS operations in the global transition to sustainable energy systems.

Original languageEnglish
Article number236216
Pages (from-to)1-13
Number of pages13
JournalJournal of Power Sources
Volume631
Early online date18 Jan 2025
DOIs
Publication statusPublished - 1 Mar 2025

Fingerprint

Dive into the research topics of 'Accurate battery models matter: Improving battery performance assessment using a novel energy management architecture'. Together they form a unique fingerprint.

Cite this