A coupled electrothermal lithium-ion battery reduced-order model including heat generation due to solid diffusion
Metadatos
Mostrar el registro completo del ítemAutor
Rodríguez Iturriaga, Pablo; García, Víctor Manuel; Rodríguez Bolívar, Salvador; Valdés, Enrique Ernesto; Anseán, David; López Villanueva, Juan AntonioEditorial
Elsevier
Materia
Lithium-ion battery Physics-based ECM Electrothermal modeling
Fecha
2024-05-09Referencia bibliográfica
Rodríguez Iturriaga, P. et. al. 367 (2024) 123327. [https://doi.org/10.1016/j.apenergy.2024.123327]
Patrocinador
Spanish Ministry of Science and Innovation via Project PID2022-141792OB-I00; Principality of Asturias via project AYUD/2021/50994; Vice-Rectorate for Research and Knowledge Transfer at University of Granada via Applied Research Project C-ING-188-UGR23; FPU22/00501 by the Spanish Ministry of Science and InnovationResumen
Temperature constitutes a critical variable in the operation of lithium-ion batteries, given its major influence on
their behavior, as well as for safety reasons in real-world applications. Therefore, it is imperative to develop
accurate thermal models along with precise cell characterizations at different ambient temperatures. These
two aspects are often analyzed independently; however, a coupled modeling approach is required in order
to replicate cell behavior in a broad range of operating scenarios due to non-negligible self-heating. In this
article, we present a coupled electrothermal reduced-order model which is able to yield highly accurate results
upon validation against experimental data, both in output voltage (≤ 25 mV RMS) and cell temperature
(≤ 0.68◦C RMS) at a low computational cost with a unique set of 7 well-defined parameters, in the range
from 50 ◦C to 0 ◦C ambient temperatures. A key idea is the consideration of the contributions of entropic
heat and solid diffusion to overall heat generation, which proves to be necessary so as to qualitatively and
quantitatively explain the evolution of cell temperature throughout a full discharge. The proposed model
provides an excellent trade-off between accuracy and computational and parameterization complexities in
a wide interval of operating conditions, therefore being suitable alternative for its implementation in practical
applications.