A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles

Hoai-Linh T. Nguyen, Bảo-Huy Nguyễn, Thanh Vo-Duy and João Pedro F. Trovão
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Hoai-Linh T. Nguyen: CTI Laboratory for EVs, School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 10000, Vietnam
Bảo-Huy Nguyễn: CTI Laboratory for EVs, School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 10000, Vietnam
Thanh Vo-Duy: CTI Laboratory for EVs, School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 10000, Vietnam
João Pedro F. Trovão: e-TESC Laboratory, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada

Energies, 2021, vol. 14, issue 12, 1-23

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.

Keywords: electric vehicle; hybrid energy storage system; battery; supercapacitor; energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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