Adaptive rule control strategy for composite energy storage fuel cell vehicle based on vehicle operating state recognition

Jianjun Hu, Yangguang Wang, Lingbo Zou and Zhouxin Wang

Renewable Energy, 2023, vol. 204, issue C, 166-175

Abstract: In order to fully exploit the advantages of each energy source, prolong the lifetime of the composite energy storage system, which is composed of a fuel cell, battery, and ultracapacitor, and reduce the comprehensive operating cost of the vehicle, by analyzing the influence on the vehicle's energy economy and energy source life at different power supply sequences of energy sources, an adaptive rule control strategy based on vehicle operation state recognition is proposed for the vehicle with the composite energy storage system. This strategy can automatically select the optimal energy source supply sequence according to the current vehicle speed and acceleration. The effectiveness and superiority of the strategy are verified by comparing it with the traditional rule strategy. Additionally, the key parameters of the proposed strategy, which have a large impact on the comprehensive operating cost of the vehicle, are recognized based on sensitivity analysis and optimized by a genetic algorithm. The simulation shows that the comprehensive operating cost of the vehicle under the WLTP drive cycle is reduced by 10.94% after optimization.

Keywords: Composite energy storage fuel cell vehicle; Adaptive rule control; Vehicle operating state recognition; Sensitivity analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123000046
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:renene:v:204:y:2023:i:c:p:166-175

DOI: 10.1016/j.renene.2023.01.004

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

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