Title :
A multi-node thermal system model for lithium-ion battery packs
Author :
Ying Shi ; Smith, Kandler ; Wood, Eric ; Pesaran, Ahmad
Author_Institution :
Nat. Renewable Energy Lab., Golden, CO, USA
Abstract :
Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell´s temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs´ thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.
Keywords :
battery management systems; secondary cells; temperature control; temperature distribution; thermal management (packaging); battery management system; cell arrays; cell temperature control; lithium-ion battery packs; multinode thermal network model; multinode thermal system model; Atmospheric modeling; Batteries; Computational modeling; Hybrid electric vehicles; Predictive models; Temperature distribution; Temperature measurement; battery pack thermal management; lithium-ion battery; system modeling;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7170819