Online Supercapacitor Diagnosis for Electric Vehicle Applications

Autor: Amrane Oukaour, Hicham Chaoui, Hamid Gualous, Youssef Slamani, Jalal Sabor, Asmae El Mejdoubi
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