DocumentCode :
3643829
Title :
Electric vehicle charge optimization including effects of lithium-ion battery degradation
Author :
Anderson Hoke;Alexander Brissette;Dragan Maksimović;Annabelle Pratt;Kandler Smith
Author_Institution :
University of Colorado, Boulder
fYear :
2011
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of battery degradation using a simplified lithium-ion battery lifetime model. The simple battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.
Keywords :
"Batteries","Degradation","Mathematical model","System-on-a-chip","Vehicles","Data models","Approximation methods"
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2011 IEEE
ISSN :
1938-8756
Print_ISBN :
978-1-61284-248-6
Type :
conf
DOI :
10.1109/VPPC.2011.6043046
Filename :
6043046
Link To Document :
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