An electro-thermal model and its electrical parameters estimation procedure in a lithium-ion battery cell

Paving the way for the Paris Agreement: Contributions of SDEWES science

“…In work by Perez Estevez et al [188], an electro-thermal model of a single lithium-ion battery cell has been developed. This model can be used as a tool to define new modules architecture, as well as to support the design of the battery cooling system.…”

Validation of a data-driven fast numerical model to simulate the immersion cooling of a lithium-ion battery pack

“…For instance the authors in [18] developed a 1D electro-thermal model to couple the electrical parameters of the battery such as voltage and resistance, among others, with the temperature prediction of heated Li-ion batteries. The authors in [19] show a model representing the thermal and electrical performances of a battery and their interaction, using equivalent circuit models and electrical analogy to compute the heat generation in a simplified Li-ion cell. Also, the lumped body approach consider the temperature uniformly distributed in the battery.…”

Internal Short Circuit Diagnosis of Lithium-Ion Battery Based on Mechanism Model and Deep Learning

“…Then we establish the electrochemical-internal shortcircuit coupling model according to the electrical characteristics of the battery, and then establish the electrochemical-thermal-internal short-circuit model. The short-circuit characteristic data set in the battery is obtained from the simulation of the battery mechanism model, that is, including current (I), voltage (V), battery temperature (T bat ), SOC, internal resistance (R), power loss (C loss ), coulombic efficiency (η C ), energy efficiency (η E ) and time (t) and other 9 characteristic parameter data, 28 because these 9 characteristic parameters can be measured directly or indirectly from the battery, the comprehensive 9 characteristic parameters can significantly indicate whether the battery has an internal short circuit. Then, the data set is divided into training set, test set and verification set, and then the internal short-circuit resistance R short of the battery is output through the deep learning algorithm, and the severity of the internal shortcircuit of the battery is judged according to the value of the shortcircuit internal resistance value.…”