DocumentCode
67747
Title
Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
Author
Hoke, Anderson ; Brissette, A. ; Smith, K. ; Pratt, A. ; Maksimovic, Dragan
Author_Institution
Univ. of Colorado, Boulder, CO, USA
Volume
2
Issue
3
fYear
2014
fDate
Sept. 2014
Firstpage
691
Lastpage
700
Abstract
This paper presents a method for minimizing the cost of vehicle battery 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 and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.
Keywords
battery powered vehicles; hybrid electric vehicles; iterative methods; minimisation; secondary cells; EV charge profiles; charger controller; electric vehicle charging optimization; energy capacity fade; iterative numerical minimization; lithium-ion battery degradation; lithium-ion battery lifetime model; low-electricity cost intervals; plug-in hybrid EV; power fade; state of charge profile; variable electricity costs; vehicle-to-grid power exportation; Approximation methods; Batteries; Data models; Degradation; Optimization; System-on-chip; Vehicles; Battery chargers; battery degradation; charge optimization; electric vehicles (EVs); lithium-ion (Li-ion);
fLanguage
English
Journal_Title
Emerging and Selected Topics in Power Electronics, IEEE Journal of
Publisher
ieee
ISSN
2168-6777
Type
jour
DOI
10.1109/JESTPE.2014.2315961
Filename
6784141
Link To Document