Optimal Supervisory Control of the Series HEV with Consideration of Temperature Effects on Battery Fading and Cooling Loss

Paper #:
  • 2016-01-1239

Published:
  • 2016-04-05
DOI:
  • 10.4271/2016-01-1239
Citation:
Zhang, X. and Filipi, Z., "Optimal Supervisory Control of the Series HEV with Consideration of Temperature Effects on Battery Fading and Cooling Loss," SAE Int. J. Alt. Power. 5(2):299-307, 2016, doi:10.4271/2016-01-1239.
Affiliated:
Pages:
9
Abstract:
This paper develops a methodology to optimize the supervisory controller for a heavy-duty series hybrid electric vehicle, with consideration of battery aging and cooling loss. Electrochemistrybased battery aging model is integrated into vehicle model. The side reaction, reductive electrolyte decomposition, is modeled to determine battery aging rate, and the thermal effect on this reaction rate is considered by Arrhenius Law. The resulting capacity and power fading is included in the system-level study. Sensitivity analysis shows that battery aging could cause fuel economy loss by 5.9%, and increasing temperature could improve fuel economy at any given state-of-health, while accelerating battery aging. Stochastic dynamic programming algorithm is applied to a modeled system to handle the tradeoff between two objectives: maximizing fuel economy and minimizing battery aging. The strategy developed by the stochastic dynamic programming improves fuel economy by 8%, and reduces the lithium ion loss by 17% after 9e3 cycles.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Technical Paper / Journal Article
2005-09-07
Technical Paper / Journal Article
2009-12-13
Technical Paper / Journal Article
2007-04-16
Technical Paper / Journal Article
2008-04-14
Technical Paper / Journal Article
2009-10-06
Training / Education
2005-07-01