TY - JOUR
T1 - Accurate battery models matter
T2 - Improving battery performance assessment using a novel energy management architecture
AU - Wang, Hao
AU - Pourmousavi, S. Ali
AU - Soong, Wen L.
AU - Zhang, Xinan
AU - Yuan, Rui
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/3/1
Y1 - 2025/3/1
N2 - 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.
AB - 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.
KW - Battery modelling
KW - Electrification
KW - Energy storage system
KW - Remaining energy estimation
KW - Techno-economic assessment
UR - http://www.scopus.com/inward/record.url?scp=85215258818&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2025.236216
DO - 10.1016/j.jpowsour.2025.236216
M3 - Article
AN - SCOPUS:85215258818
SN - 0378-7753
VL - 631
SP - 1
EP - 13
JO - Journal of Power Sources
JF - Journal of Power Sources
M1 - 236216
ER -