DocumentCode
185182
Title
Optimal power management for a series hybrid electric vehicle cognizant of battery mechanical effects
Author
Youngki Kim ; Mohan, Swati ; Samad, Nassim A. ; Siegel, Jason B. ; Stefanopoulou, Anna G.
Author_Institution
Univ. of Michigan, Ann Arbor, MI, USA
fYear
2014
fDate
4-6 June 2014
Firstpage
3832
Lastpage
3837
Abstract
This paper presents an optimal power management strategy for a series hybrid electric vehicle (SHEV) with the consideration of battery bulk mechanical stress. The relation between mechanical stress and state-of-charge (SOC) is characterized first. Then, this relation is used to penalize the battery usage leading to capacity fade due to particle fracture in the negative electrode. The optimal power management strategy is found using Dynamic Programming (DP) not only for maximizing fuel economy but also for minimizing the battery cumulative bulk mechanical stress. DP results suggest that battery SOC needs to be regulated around a lower value for prolonged battery life. Moreover, it is found that the cumulative bulk mechanical stress can be significantly reduced at a small expense of fuel economy.
Keywords
battery management systems; dynamic programming; fuel economy; hybrid electric vehicles; secondary cells; stress effects; battery bulk mechanical stress; battery mechanical effect; battery usage penalty; capacity fading; dynamic programming; fuel economy; negative electrode particle fracture; optimal power management; series hybrid electric vehicle; state-of-charge; Batteries; Battery charge measurement; Electrodes; Force; Fuel economy; Stress; System-on-chip; Automotive; Modeling and simulation; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859505
Filename
6859505
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