Title :
Sensors fault diagnosis for a BMS
Author :
Lombardi, Warody ; Zarudniev, Mykhailo ; Lesecq, Suzanne ; Bacquet, Sylvain
Author_Institution :
LETI, CEA, Grenoble, France
Abstract :
This paper deals with sensor fault diagnosis for a battery management system (BMS). The diagnosis procedure consists on the detection and isolation of sensor faults. A new battery pack design, composed by the cells and sensors, is introduced. Three sensors are considered: voltage, current and temperature. The algorithms are simple and efficient, even for multiple faults, so as to be low-cost from computation and power point of view. Examples are developed during the paper to show the effectiveness of the technique.
Keywords :
battery management systems; fault diagnosis; sensors; BMS; battery management system; battery pack design; cells; current; sensor faults; sensors fault diagnosis; temperature; voltage; Batteries; Equations; Mathematical model; Temperature measurement; Temperature sensors; Voltage measurement;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862432