Online Supercapacitor Diagnosis for Electric Vehicle Applications
Autor: | Amrane Oukaour, Hicham Chaoui, Hamid Gualous, Youssef Slamani, Jalal Sabor, Asmae El Mejdoubi |
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Přispěvatelé: | Laboratoire Universitaire des Sciences Appliquées de Cherbourg (LUSAC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Tennessee Tech University [Cookeville] (TTU), Ecole Nationale Supérieure d'Arts et Métiers [Meknes] (ENSAM), Université Moulay Ismail (UMI) |
Rok vydání: | 2016 |
Předmět: |
Imagination
Engineering business.product_category Supercapacitors Diagnosis Computer Networks and Communications media_common.quotation_subject Aerospace Engineering 02 engineering and technology Capacitance [SPI.MAT]Engineering Sciences [physics]/Materials [SPI]Engineering Sciences [physics] Search engine 0203 mechanical engineering Robustness (computer science) Electric vehicle Parameters estimation Supercapacitors 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering media_common [PHYS]Physics [physics] Supercapacitor business.industry [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment 020208 electrical & electronic engineering Extended Kalman Filter 020302 automobile design & engineering Kalman filter Aging indicators [SDE]Environmental Sciences Automotive Engineering State-of-Health business Voltage |
Zdroj: | IEEE Transactions on Vehicular Technology IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2016, 65 (6), pp.4241-4252. ⟨10.1109/TVT.2015.2454520⟩ |
ISSN: | 1939-9359 0018-9545 |
DOI: | 10.1109/tvt.2015.2454520 |
Popis: | International audience; This paper presents an online diagnosis method for the supercapacitors' aging problem. State-of-health (SoH) estimation is an important feature since aging introduces degradation in the supercapacitors' performance, which might eventually lead to their failure. SoH is usually measured by electrochemical impedance spectroscopy. However, this has to be performed offline and requires interruption of the system's operation. Unlike this method, this paper presents an online diagnosis technique for supercapacitors using an extended Kalman observer as a well-known tool for its particularities and performances to study nonlinear parameter estimation. The main objective of this paper is the online SoH diagnosis based on the supercapacitors' aging indicator estimation. Moreover, the proposed online estimation strategy requires only voltage and current measurements, which reduces the number of sensors with respect to other methods. The effectiveness of the proposed online observer is shown through experimental results, and robustness to noise is also studied. |
Databáze: | OpenAIRE |
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