Title :
Identification of the equivalent electrical model parameters and thermal properties of a LMO / Graphite battery cell for full electric vehicle
Author :
Boutaous, M´hamed ; Zinet, Matthieu ; Mathieu, Eric ; Buathier, Serge ; Shihe Xin
Author_Institution :
INSA-Lyon, Univ. de Lyon, Villeurbanne, France
fDate :
March 31 2015-April 2 2015
Abstract :
In this work, the electro-thermal behavior of a prismatic 50 Ah Lithium Manganese Oxide (LMO)/ Graphite cell is investigated. This cell is designed to be integrated in independent 12-cell modules, the global battery rack being composed of several modules. Optimal sizing of the thermal management system requires accurate knowledge end prediction of the thermal load associated with given operating conditions (current profile). It was obtained by identifying the electro-thermal model parameters for a single cell, carried out using a custom electrical bench able to impose a predefined current evolution, controllable by serial interface. From these measurements, the heating power is predicted using the Bernardi model. The identified electrical and thermal model parameters are then integrated in a 3D FEM transient simulation of the cell thermal behavior under realistic conditions.
Keywords :
electric vehicles; finite element analysis; graphite; secondary cells; thermal management (packaging); thermal properties; transient analysis; 3D FEM transient simulation; Bernardi model; LMO; battery rack; cell module; electric vehicle; electrical bench; electrothermal behavior; electrothermal model parameter; equivalent electrical model parameter; graphite battery cell; heating power; lithium manganese oxide; optimal sizing; serial interface; thermal load; thermal management system; thermal property; three dimensional finite element model; Chemistry; Computational modeling; Gold; Graphite; Heating; System-on-chip; batterie rack; electro-thermal modeling; lithium-ion battery; parameter identification;
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2015 Tenth International Conference on
Conference_Location :
Monte Carlo
Print_ISBN :
978-1-4673-6784-4
DOI :
10.1109/EVER.2015.7112982