A Study on How to Utilize Hilly Road Information in Equivalent Consumption Minimization Strategy of FCHEVs

Event
SAE 2014 World Congress & Exhibition
Authors Abstract
Content
This paper presents an adaptation method of equivalent factor in equivalent consumption minimization strategy (ECMS) of fuel cell hybrid electric vehicle (FCHEV) using hilly road information. Instantaneous optimization approach such as ECMS is one of real-time controllers. Furthermore, it is widely accepted that ECMS achieves near-optimum results with the selection of the appropriate equivalent factor. However, a lack of hilly road information no longer guarantees near-optimum results as well as charge-sustaining of ECMS under hilly road conditions. In this paper, first, an optimal control problem is formulated to derive ECMS analytical solution based on simplified models. Then, we proposed updating method of equivalent factor based on sensitivity analysis. The proposed method tries to mimic the globally optimal equivalent factor trajectory extracted from dynamic programming solutions. Finally, simulations for various hilly roads are carried out for validation of the proposed adaptation method of equivalent factor. Results show that the proposed method generates similar equivalent factor trajectory with globally optimal equivalent factor trajectory in the specific drive condition. In conclusion, if future vehicle velocity can be assumed as average velocity such as highway driving mode, the proposed method using hilly road information is very effective in near-optimum results as well as charge-sustaining.
Meta TagsDetails
DOI
https://doi.org/10.4271/2014-01-1827
Pages
6
Citation
Han, J., Park, Y., Kum, D., and Ryu, S., "A Study on How to Utilize Hilly Road Information in Equivalent Consumption Minimization Strategy of FCHEVs," SAE Int. J. Alt. Power. 3(1):72-77, 2014, https://doi.org/10.4271/2014-01-1827.
Additional Details
Publisher
Published
Apr 1, 2014
Product Code
2014-01-1827
Content Type
Journal Article
Language
English