Adaptive battery management systems for the new generation of electrical vehicles

D. Danilov, P.H.L. Notten

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

20 Citations (Scopus)
6 Downloads (Pure)

Abstract

Proper functioning of rechargeable batteries is of crucial importance for any electrical vehicle, especially for Plugin 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. © 2009 IEEE.
Original languageEnglish
Title of host publication5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI
Place of PublicationDearborn, Michigan, U.S.A.
PublisherInstitute of Electrical and Electronics Engineers
Pages5289835-320
ISBN (Print)9781-424426003
DOIs
Publication statusPublished - 2009

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