Next Article in Journal
Evaluation of Supply–Demand Adaptation of Photovoltaic–Wind Hybrid Plants Integrated into an Urban Environment
Next Article in Special Issue
A Dual-Objective Substation Energy Consumption Optimization Problem in Subway Systems
Previous Article in Journal
Business Model Changes in District Heating: The Impact of the Technology Shift from the Third to the Fourth Generation
Previous Article in Special Issue
A Techno-Economic Analysis of Vehicle-to-Building: Battery Degradation and Efficiency Analysis in the Context of Coordinated Electric Vehicle Charging
Open AccessArticle

A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models

Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain
*
Author to whom correspondence should be addressed.
Energies 2019, 12(9), 1776; https://doi.org/10.3390/en12091776
Received: 22 March 2019 / Revised: 3 May 2019 / Accepted: 7 May 2019 / Published: 10 May 2019
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
Supercapacitors with characteristics such as high power density, long cycling life, fast charge, and discharge response are used in different applications like hybrid and electric vehicles, grid integration of renewable energies, or medical equipment. The parametric identification and the supercapacitor model selection are two complex processes, which have a critical impact on the system design process. This paper shows a comparison of the six commonly used supercapacitor models, as well as a general and straightforward identification parameter procedure based on Simulink or Simscape and the Optimization Toolbox of Matlab®. The proposed procedure allows for estimating the different parameters of every model using a different identification current profile. Once the parameters have been obtained, the performance of each supercapacitor model is evaluated through two current profiles applied to hybrid electric vehicles, the urban driving cycle (ECE-15 or UDC) and the hybrid pulse power characterization (HPPC). The experimental results show that the model accuracy depends on the identification profile, as well as the robustness of each supercapacitor model. Finally, some model and identification current profile recommendations are detailed. View Full-Text
Keywords: supercapacitor models; parameter estimation; ECE15; HPPC; Simulink; Simscape; Matlab; Identification supercapacitor models; parameter estimation; ECE15; HPPC; Simulink; Simscape; Matlab; Identification
Show Figures

Figure 1

MDPI and ACS Style

Miniguano, H.; Barrado, A.; Fernández, C.; Zumel, P.; Lázaro, A. A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models. Energies 2019, 12, 1776. https://doi.org/10.3390/en12091776

AMA Style

Miniguano H, Barrado A, Fernández C, Zumel P, Lázaro A. A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models. Energies. 2019; 12(9):1776. https://doi.org/10.3390/en12091776

Chicago/Turabian Style

Miniguano, Henry; Barrado, Andrés; Fernández, Cristina; Zumel, Pablo; Lázaro, Antonio. 2019. "A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models" Energies 12, no. 9: 1776. https://doi.org/10.3390/en12091776

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop