2013 SAE - Real-Time Optimal Energy Management of Heavy Duty Hybrid Electric Vehicles.pdf (4.75 MB)
Real-time optimal energy management of heavy duty hybrid electric vehicles
journal contribution
posted on 2017-09-18, 09:12 authored by Dezong Zhao, Richard StobartThe performance of energy flow management strategies is essential for the success of hybrid electric vehicles (HEVs), which are considered amongst the most promising solutions for improving fuel economy as well as reducing exhaust emissions. The heavy duty HEVs engaged in cycles characterized by start-stop configuration has attracted widely interests, especially in off-road applications. In this paper, a fuzzy equivalent consumption minimization strategy (F-ECMS) is proposed as an intelligent real-time energy management solution for heavy duty HEVs. The online optimization problem is formulated as minimizing a cost function, in terms of weighted fuel power and electrical power. A fuzzy rule-based approach is applied on the weight tuning within the cost function, with respect to the variations of the battery state-of-charge (SOC) and elapsed time. Comparing with traditional real-time supervisory control strategies, the proposed F-ECMS is more robust to the test environments with rapid dynamics. The proposed method is validated via simulation under two transient test cycles, with the fuel economy benefits of 4.43% and 6.44%, respectively. The F-ECMS shows better performance than the telemetry ECMS (T-ECMS), in terms of the sustainability of battery SOC.
Funding
This project was co-funded by the Technology Strategy Board (TSB) UK, under a grant for the Low Carbon Vehicle IDP4 Programme (TP14/LCV/6/I/BG011L).
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
SAE International Journal of Alternative PowertrainsVolume
2Issue
2Pages
369 - 378Citation
ZHAO, D. and STOBART, R., 2013. Real-time optimal energy management of heavy duty hybrid electric vehicles. SAE International Journal of Alternative Powertrains, 2 (2), pp.369-378.Publisher
© SAE InternationalVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2013ISSN
2167-4191eISSN
2167-4205Publisher version
Language
- en