TY - GEN
T1 - Lumped Parameter Modeling for Real-Time Thermal Regulation of Li-Ion Battery Packs
AU - Muduli, Utkal Ranjan
AU - Shawky El Moursi, Mohamed
AU - Al Hosani, Khalifa
AU - Al-Durra, Ahmed
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Overheating in lithium-ion battery packs can significantly reduce their performance and lifespan. To address this issue, we have developed a lumped parameter thermal model that accurately represents the thermal behavior of these battery packs. This model includes the effects of fluid flow and the channel width between parallel cells, aspects often overlooked in traditional models. By integrating our model with an internal combustion engine cooling method, we form a comprehensive thermal regulation system. We implement this system in real-time using OPAL-RT to evaluate its performance under various operational scenarios. Our results highlight the importance of considering channel width in thermal modeling to enhance accuracy. The real-time implementation demonstrates the practicality of our approach for grid-connected battery energy storage systems. This work advances battery thermal management by providing a model suitable for real-time applications. It offers insights for designing efficient cooling processes and preventing overheating. Our study contributes to improving the safety and efficiency of lithium-ion battery packs.
AB - Overheating in lithium-ion battery packs can significantly reduce their performance and lifespan. To address this issue, we have developed a lumped parameter thermal model that accurately represents the thermal behavior of these battery packs. This model includes the effects of fluid flow and the channel width between parallel cells, aspects often overlooked in traditional models. By integrating our model with an internal combustion engine cooling method, we form a comprehensive thermal regulation system. We implement this system in real-time using OPAL-RT to evaluate its performance under various operational scenarios. Our results highlight the importance of considering channel width in thermal modeling to enhance accuracy. The real-time implementation demonstrates the practicality of our approach for grid-connected battery energy storage systems. This work advances battery thermal management by providing a model suitable for real-time applications. It offers insights for designing efficient cooling processes and preventing overheating. Our study contributes to improving the safety and efficiency of lithium-ion battery packs.
KW - Lithium-ion Battery Packs
KW - Numerical Simulation
KW - Real-time Implementation
KW - Thermal Management
UR - https://www.scopus.com/pages/publications/105004812096
U2 - 10.1109/APEC48143.2025.10977288
DO - 10.1109/APEC48143.2025.10977288
M3 - Conference contribution
AN - SCOPUS:105004812096
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 2871
EP - 2876
BT - APEC 2025 - 14th Annual IEEE Applied Power Electronics Conference and Exposition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025
Y2 - 16 March 2025 through 20 March 2025
ER -