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Title: A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles
Authors: Nguyen, Hoai-Linh T.
Nguyễn, Bảo-Huy
Vo-Duy, Thanh
Trovão, João Pedro F. 
Keywords: Battery; Electric vehicle; Energy management; Hybrid energy storage system; Supercapacitor
Issue Date: 2021
Project: Grant 950-230672 from Canada Research Chairs Program 
Grant 2019-NC-252886 from Fonds de recherche du Québec – Nature et Technologies 
FCT UIDB/00308/2020 
Project MAnAGER (POCI-01-0145-FEDER-028040) 
Domestic Master/PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF) Vingroup Big Data Institute (VINBIGDATA), Code VINIF.2020.ThS.47 
Serial title, monograph or event: Energies
Volume: 14
Issue: 12
Abstract: Hybrid energy storage systems (HESSs) including batteries and supercapacitors (SCs) are a trendy research topic in the electric vehicle (EV) context with the expectation of optimizing the vehicle performance and battery lifespan. Active and semi-active HESSs need to be managed by energy management strategies (EMSs), which should be realized on real-time onboard platforms. A widely used approach is the filter-based EMS thanks to its simplicity and effectiveness. However, one question that always arises with these algorithms is how to determine the appropriate constant cut-off frequency. To tackle this challenge, this paper proposed three adaptive schemes for the filtering strategies based on the SC “ability” and evaluated their performance during the vehicle operation via an intensive comparative study. Offline simulation and experimental validation using signal hardware-in-the-loop (HIL) emulation showed that the proposed adaptive filtering EMS can reduce the battery rms current considerably. Specifically, the SC-energy-based, SOC-based, and voltage-based algorithms minimized the battery rms by up to 69%, 66%, and 64%, respectively, when compared to a pure battery EV in a fluctuating driving condition such as the urban Artemis cycle.
ISSN: 1996-1073
DOI: 10.3390/en14123373
Rights: openAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais

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