Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis

Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge (SOC) and predicting the end-of-discharge time with a high degree of accu...

Deskribapen osoa

Xehetasun bibliografikoak

Egile nagusia:	Tampier, Carlos (author)
Beste egile batzuk:	Perez, Aramis (author), Jaramillo, Francisco (author), Orchard, Marcos (author), Silva, Jorge (author), L. Quintero, Vanessa (author)
Formatua:	article
Hizkuntza:	ingelesa
Argitaratua:	2015
Gaiak:	particle filter unscented Kalman filter Battery discharge prognostics
Sarrera elektronikoa:	http://ridda2.utp.ac.pa/handle/123456789/6156
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!