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
Link To Document :
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