DocumentCode :
1536003
Title :
Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles
Author :
Ebbesen, Soren ; Elbert, Philipp ; Guzzella, Lino
Author_Institution :
Dept. of Mech. & Process Eng., ETH Zurich, Zurich, Switzerland
Volume :
61
Issue :
7
fYear :
2012
Firstpage :
2893
Lastpage :
2900
Abstract :
This paper presents a causal optimal control-based energy management strategy for a parallel hybrid electric vehicle (HEV). This strategy not only seeks to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bounds but to minimize wear of the battery by penalizing the instantaneous battery usage with respect to its relative impact on battery life as well. This impact is derived by means of a control-oriented state-of-health model. The results indicate that the proposed causal strategy effectively reduces battery wear with only a relatively small penalty on fuel consumption. Ultimately, in terms of cost of fuel and battery replacements, the total cost of ownership over the entire life of the vehicle is significantly reduced.
Keywords :
battery management systems; hybrid electric vehicles; optimal control; HEV; battery replacements; battery state-of-health perceptive energy management; control-oriented state-of-health model; fuel consumption; fuel cost; hybrid electric vehicles; instantaneous battery; optimal control-based energy management strategy; Batteries; Computational modeling; Electronic countermeasures; Energy management; Fuels; Mathematical model; Optimal control; Batteries; energy management; optimal control; road vehicle propulsion;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2012.2203836
Filename :
6214629
Link To Document :
بازگشت