Optimal rule design methodology for energy management strategy of a power-split hybrid electric bus

Yue Wang, Xiaohua Zeng, Dafeng Song and Nannan Yang

Energy, 2019, vol. 185, issue C, 1086-1099

Abstract: The excellent fuel economy of power-split hybrid electric bus has facilitated its extensive promotion for applications. However, a conventional rule-based energy management strategy for this bus involves large numbers of calibration, which considerably increases the application cost. To solve this problem, this study proposes an optimal rule design method that combines fixed thresholds with local working probability. This method effectively extracts control rules to obtain near-optimal result of global optimization and reduce calibration workload. In addition, a charge-sustaining strategy based on a linear quadratic regulator is designed to ensure the robustness of the energy management strategy based on rule design methodology. Finally, a simulation and hardware-in-loop (HIL) test are conducted on the Chinese city bus cycle. In comparison with the compared to rule-based engine optimal control, the proposed local probability-based instantaneous optimal control strategy is closer to the global optimization results, with oil savings of 10.6%. The comparison of the results between HIL and offline simulations show that they are largely coincident. Therefore, the proposed rule design methodology can serve as a theoretical reference for extraction rules in engineering practices.

Keywords: Rule design methodology; Optimal energy management strategy; Power-split hybrid electric bus (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219314689
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:185:y:2019:i:c:p:1086-1099

DOI: 10.1016/j.energy.2019.07.126

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().