TY - JOUR
T1 - Estimating the Temperature Distribution of Pouch-Type Li-Ion Batteries Based on a Distributed-Parameter Electrothermal Coupling Model
AU - Xie, Jiale
AU - Song, Mingyu
AU - Song, Zongyang
AU - Wei, Zhongbao
AU - Dong, Zhekang
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - Pouch-type lithium-ion batteries (PLiBs) often suffer from nonuniform temperature distributions, which accelerate degradation and increase thermal safety risks. To address this, a 2-D electrothermal coupled model is developed by discretizing the cell into grid elements, each represented by a second-order equivalent circuit. Electrothermal interactions are captured through electrical and thermal resistances. Model parameters are identified using a hybrid method that combines parameter mapping with particle swarm optimization, and are validated under dynamic stress test and multirate discharge conditions. Experimental results demonstrate high predictive accuracy, with mean voltage errors below 7.5 mV and temperature deviations within 1 ◦C. The model also successfully reproduces localized hot spots near the current tabs during high-rate discharge. Analysis reveals two coupled causes of thermal nonuniformity: uneven current distribution due to ohmic drops in the current collectors, and heterogeneous heat dissipation across the cell surface. The superposition of these effects exacerbates temperature nonuniformity. This modeling framework offers a robust tool for the design and optimization of battery thermal management systems, providing practical insights into improving safety and extending the service life of large-format PLiBs.
AB - Pouch-type lithium-ion batteries (PLiBs) often suffer from nonuniform temperature distributions, which accelerate degradation and increase thermal safety risks. To address this, a 2-D electrothermal coupled model is developed by discretizing the cell into grid elements, each represented by a second-order equivalent circuit. Electrothermal interactions are captured through electrical and thermal resistances. Model parameters are identified using a hybrid method that combines parameter mapping with particle swarm optimization, and are validated under dynamic stress test and multirate discharge conditions. Experimental results demonstrate high predictive accuracy, with mean voltage errors below 7.5 mV and temperature deviations within 1 ◦C. The model also successfully reproduces localized hot spots near the current tabs during high-rate discharge. Analysis reveals two coupled causes of thermal nonuniformity: uneven current distribution due to ohmic drops in the current collectors, and heterogeneous heat dissipation across the cell surface. The superposition of these effects exacerbates temperature nonuniformity. This modeling framework offers a robust tool for the design and optimization of battery thermal management systems, providing practical insights into improving safety and extending the service life of large-format PLiBs.
KW - Distributed-parameter model
KW - electrothermal coupling model
KW - pouch-type Li-ion battery
KW - temperature distribution estimation
UR - https://www.scopus.com/pages/publications/105040146351
U2 - 10.1109/TIE.2026.3690860
DO - 10.1109/TIE.2026.3690860
M3 - Article
AN - SCOPUS:105040146351
SN - 0278-0046
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
ER -