Control variables optimization and feedback control strategy design for the blended operating regime of an extended range electric vehicle

Škugor, Branimir and Cipek, Mihael and Deur, Joško (2014) Control variables optimization and feedback control strategy design for the blended operating regime of an extended range electric vehicle. = Control variables optimization and feedback control strategy design for the blended operating regime of an extended range electric vehicle. SAE International Journal of Alternative Powertrains, 3 (1). pp. 152-162. ISSN 2167-4191. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. . Točan broj autora: 3.

Full text not available from this repository.
Official URL: https://www.sae.org/publications/technical-papers/...

Abstract

In an authors' previous SAE publication, an energy management control strategy has been proposed for the basic, charge-depleting/charge-sustaining (CD/CS) regime of an Extended Range Electric Vehicle (EREV). The strategy is based on combining a rule-based controller, including a state-of- charge regulator, with an equivalent consumption minimization strategy. This paper presents an extension of the control strategy, which can provide a favorable vehicle behavior in the more general blended (BLND) operating regime, as well. Dynamic programming-based control variables optimization is first conducted to gain an insight into the vehicle optimal behavior in the BLND regime, facilitate the feedback control strategy development/extension, and serve as a benchmark for the control strategy verification. Next, a parameter optimization method is applied to find optimal values of critical engine on/off thresholds. Finally, the control strategy is verified against the optimal benchmark for several repetitive certified driving cycles, and the results are compared with those obtained for the basic CD/CS regime.

Item Type: Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian): EREV, optimization, control, blended mode
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: Yes
Indexed in Current Contents: No
Date Deposited: 19 Sep 2016 13:40
Last Modified: 11 Sep 2018 09:43
URI: http://repozitorij.fsb.hr/id/eprint/6356

Actions (login required)

View Item View Item