DocumentCode :
3743670
Title :
Simplification techniques for PDE-based Li-Ion battery models
Author :
Chris Manzie;Changfu Zou;Dragan Nesic
Author_Institution :
Department of Mechanical Engineering, The University of Melbourne, Australia 3010
fYear :
2015
Firstpage :
3913
Lastpage :
3921
Abstract :
Battery systems are becoming increasingly prevalent as a source of power for applications across domains from consumer electronics to automotive, due to a range of factors such as portability and environmental considerations. The relatively high cost of batteries leads to a natural tradeoff in their use to ensure the lifetime of the battery is not unduly compromised while still delivering good performance. Similar tradeoffs have been successfully dealt with in other systems using model based control and estimation techniques, and this motivates their use for battery systems. Complicating this process is the complex nature of the physics-based models describing the operation of a battery cell, as these consist of a large number of partial differential equations spanning multiple, coupled domains. This second paper of the tutorial session will briefly review the existing physics-based battery models, and introduce recent approaches that have been used to develop simplified models based on the original high-fidelity model. The assumptions underpinning the model simplification will be presented and discussed.
Keywords :
"Mathematical model","Batteries","Electrodes","Solids","Heating","Aging","Electric potential"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7402828
Filename :
7402828
Link To Document :
بازگشت