DocumentCode :
1941305
Title :
Adaptive Battery Management Systems for the new generation of Electrical Vehicles
Author :
Danilov, D. ; Notten, P.H.L.
Author_Institution :
Dept. of Chem. Eng. & Chem., Eindhoven Univ. of Technol. (TU/e), Eindhoven, Netherlands
fYear :
2009
fDate :
7-10 Sept. 2009
Firstpage :
317
Lastpage :
320
Abstract :
Proper functioning of rechargeable batteries is of crucial importance for any electrical vehicle, especially for plug-in electrical vehicles (PEV). Modern battery management systems (BMS) provide a driver for a number of important indications, such as remaining operation time, remaining charge and power. Therefore, BMS is a key element of PEV. However, the performance of the batteries deteriorates during the cycle life, in particular the capacity fades and impedance grows, leading to a decrease in battery power. BMS may decrease these negative effects without creating inconvenience for the end-user. A number of advanced battery charging algorithms were developed in the recent decade. These algorithms can significantly improve the performance of PEV facilitating their mass production.
Keywords :
battery management systems; battery powered vehicles; secondary cells; PEV; adaptive battery management system; battery charging algorithm; cycle life; mass production; plug-in electrical vehicles; rechargeable batteries; Adaptive systems; Aging; Battery management systems; Battery powered vehicles; Chemical technology; Chemistry; Electric vehicles; Electrodes; Impedance; Voltage; BMS; adaptivity; ageing; state-of-charge indication; state-of-health determination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4244-2600-3
Electronic_ISBN :
978-1-4244-2601-0
Type :
conf
DOI :
10.1109/VPPC.2009.5289835
Filename :
5289835
Link To Document :
بازگشت