Comparative study on the cost of hybrid energy and energy storage systems in remote rural communities near Yucatan, Mexico

2022 ◽  
Vol 308 ◽  
pp. 118334
Author(s):  
V. Buenfil Román ◽  
G.A. Espadas Baños ◽  
C.A. Quej Solís ◽  
M.I. Flota-Bañuelos ◽  
M. Rivero ◽  
...  
Keyword(s):  
Energy Storage ◽  
Rural Communities ◽  
Comparative Study ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
The Cost

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

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3373
Author(s):  
Hoai-Linh T. Nguyen ◽  
Bảo-Huy Nguyễn ◽  
Thanh Vo-Duy ◽  
João Pedro F. Trovão
Keyword(s):  
Energy Storage ◽  
Comparative Study ◽  
Adaptive Filtering ◽  
Storage Systems ◽  
Management Strategies ◽  
Energy Storage Systems ◽  
Vehicle Performance ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Vehicle Operation

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.

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