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Optimization?Based Fuzzy Energy Management Strategy for PEM Fuel Cell/Battery/Supercapacitor Hybrid Construction Excavator

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Alternative Title
Optimization Based Fuzzy Energy Management Strategy for PEM Fuel Cell/Battery/Supercapacitor Hybrid Construction Excavator
Abstract
Fuel cell hybrid electric construction equipment (FCHECE) is known as a promising solution to achieve the goal of energy saving and environment protection. Energy management strategy is a key technology of FCHECE, which splits the energy flow between power sources. This paper presents a novel optimal energy management strategy for a hybrid electric-powered hydraulic excavator system to enhance power performance, power sources lifespan, and fuel economy. As for the proposed powertrain confguration, fuel cell serves as a primary energy source, and supercapacitor and battery are considered as energy storages. The integration of supercapacitor and battery in fuel cell vehicle has advantages of improving power performance and storing the regenerative energy for future usage. An energy management strategy based on fuzzy logic control and a rule-based algorithm is proposed to efectively distribute the power between the three sources and reuse the regenerative energy. Furthermore, the parameters of the fuzzy logic system are optimized using the combination of a backtracking search algorithm which provides a good direction to the global optimal region and sequential dynamic programming as a local search method to fne-tune the optimal solution in order to reduce the hydrogen consumption and prolong the lifetime of the power sources. Simulation results show that the proposed energy management strategy enhances the vehicle performance, improves fuel economy of the FCHECE by 10.919%, increase battery and supercapacitor charge-sustaining capability as well as effciency of the fuel cell system.
Author(s)
다오 호앙 부도 치 크엉안경관장 찌 둥쯔엉 호아이 부 안토 수안 딘호 꽁 민
Issued Date
2021
Type
Article
Keyword
PEM fuel cellEnergy management strategyConstruction excavatorFuzzy logicBacktracking search algorithmSequential quadratic programming
DOI
10.1007/s40684-020-00262-y
URI
https://oak.ulsan.ac.kr/handle/2021.oak/8943
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9828075&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Optimization%3FBased%20Fuzzy%20Energy%20Management%20Strategy%20for%20PEM%20Fuel%20Cell%2FBattery%2FSupercapacitor%20Hybrid%20Construction%20Excavator&offset=0&pcAvailability=true
Publisher
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
Location
대한민국
Language
영어
ISSN
2288-6206
Citation Volume
8
Citation Number
4
Citation Start Page
1267
Citation End Page
1285
Appears in Collections:
Engineering > Mechanical and Automotive Engineering
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