Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types

Sarbani Mandal; Bikash Sah; Sai Krishna Mulpuri; Anup Barai; Praveen Kumar

doi:10.1109/ECCE-Asia63110.2025.11112485

Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types

Sarbani Mandal, Bikash Sah^*, Sai Krishna Mulpuri, Anup Barai, Praveen Kumar

^*Corresponding author for this work

Power Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

Original language	English
Title of host publication	IEEE Energy Conversion Congress & Exposition Asia
Subtitle of host publication	Shaping a Greener Future with Power Electronics, ECCE-Asia 2025
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	979-8-3315-1886-8
DOIs	https://doi.org/10.1109/ECCE-Asia63110.2025.11112485
Publication status	Published - 13 Aug 2025
Event	17th IEEE Energy Conversion Congress and Exposition, ECCE 2025 - Bengaluru, India Duration: 11 May 2025 → 14 May 2025 Conference number: 17

Conference

Conference	17th IEEE Energy Conversion Congress and Exposition, ECCE 2025
Abbreviated title	ECCE 2025
Country/Territory	India
City	Bengaluru
Period	11/05/25 → 14/05/25

Keywords

n/a OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ECCE-Asia63110.2025.11112485

Cite this

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title = "Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types",

abstract = "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.",

keywords = "n/a OA procedure",

author = "Sarbani Mandal and Bikash Sah and Mulpuri, \{Sai Krishna\} and Anup Barai and Praveen Kumar",

year = "2025",

month = aug,

day = "13",

doi = "10.1109/ECCE-Asia63110.2025.11112485",

language = "English",

booktitle = "IEEE Energy Conversion Congress \& Exposition Asia",

publisher = "IEEE",

address = "United States",

note = "17th IEEE Energy Conversion Congress and Exposition, ECCE 2025, ECCE 2025 ; Conference date: 11-05-2025 Through 14-05-2025",

}

Mandal, S, Sah, B, Mulpuri, SK, Barai, A & Kumar, P 2025, Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types. in IEEE Energy Conversion Congress & Exposition Asia: Shaping a Greener Future with Power Electronics, ECCE-Asia 2025. IEEE, 17th IEEE Energy Conversion Congress and Exposition, ECCE 2025, Bengaluru, India, 11/05/25. https://doi.org/10.1109/ECCE-Asia63110.2025.11112485

Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types. / Mandal, Sarbani; Sah, Bikash; Mulpuri, Sai Krishna et al.
IEEE Energy Conversion Congress & Exposition Asia: Shaping a Greener Future with Power Electronics, ECCE-Asia 2025. IEEE, 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 - Conference code: 17

PY - 2025/8/13

Y1 - 2025/8/13

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 - n/a OA procedure

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U2 - 10.1109/ECCE-Asia63110.2025.11112485

DO - 10.1109/ECCE-Asia63110.2025.11112485

M3 - Conference contribution

BT - IEEE Energy Conversion Congress & Exposition Asia

PB - IEEE

T2 - 17th IEEE Energy Conversion Congress and Exposition, ECCE 2025

Y2 - 11 May 2025 through 14 May 2025

ER -

Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types

Abstract

Conference

Keywords

UN SDGs

Access to Document

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