TY - GEN
T1 - Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types
AU - Mandal, Sarbani
AU - Sah, Bikash
AU - Mulpuri, Sai Krishna
AU - Barai, Anup
AU - Kumar, Praveen
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Battery electric equivalent circuit model (ECM) parameters are widely popular for performing modelling and estimation of energy storage systems across various applications, such as grid storage and electric vehicle applications. The modelling parameters and estimated values (State of Charge (SoC) and State of Health (SoH)) form the basis of different analyses performed on the batteries. One of the critical challenges is to develop an ECM that is versatile enough to capture the varied nature of battery cell types because of changes in chemistry, geometry, applications, and operating conditions. In this paper, a versatile equivalent circuit model (ECM) development framework is approached, which is capable of precisely representing various cell types. Statistical analysis is performed to identify the most dominating factor among the ECM parameters, which affects most changes in cell manufacturing and chemistry, directing towards developing a universal equivalent circuit modelling approach.
AB - Battery electric equivalent circuit model (ECM) parameters are widely popular for performing modelling and estimation of energy storage systems across various applications, such as grid storage and electric vehicle applications. The modelling parameters and estimated values (State of Charge (SoC) and State of Health (SoH)) form the basis of different analyses performed on the batteries. One of the critical challenges is to develop an ECM that is versatile enough to capture the varied nature of battery cell types because of changes in chemistry, geometry, applications, and operating conditions. In this paper, a versatile equivalent circuit model (ECM) development framework is approached, which is capable of precisely representing various cell types. Statistical analysis is performed to identify the most dominating factor among the ECM parameters, which affects most changes in cell manufacturing and chemistry, directing towards developing a universal equivalent circuit modelling approach.
KW - and clustering
KW - batteries
KW - electric equivalent circuit model
KW - principal component analysis
KW - statistical analysis
UR - https://www.scopus.com/pages/publications/105015653955
U2 - 10.1109/ECCE-Asia63110.2025.11112485
DO - 10.1109/ECCE-Asia63110.2025.11112485
M3 - Conference contribution
AN - SCOPUS:105015653955
T3 - 2025 IEEE Energy Conversion Congress and Exposition Asia: Shaping a Greener Future with Power Electronics, ECCE-Asia 2025
BT - 2025 IEEE Energy Conversion Congress and Exposition Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Energy Conversion Congress and Exposition Asia, ECCE-Asia 2025
Y2 - 11 May 2025 through 14 May 2025
ER -