Adaptive battery management systems for the new generation of electrical vehicles

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

Fingerprint

Charging (batteries)
Secondary batteries
Life cycle
Battery management systems

Cite this

Danilov, D., & Notten, P. H. L. (2009). Adaptive battery management systems for the new generation of electrical vehicles. In 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI (pp. 5289835-320). Dearborn, Michigan, U.S.A.: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VPPC.2009.5289835
Danilov, D. ; Notten, P.H.L. / Adaptive battery management systems for the new generation of electrical vehicles. 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI. Dearborn, Michigan, U.S.A. : Institute of Electrical and Electronics Engineers, 2009. pp. 5289835-320
@inproceedings{247290cf622046639d80eb06f3fa5301,
title = "Adaptive battery management systems for the new generation of electrical vehicles",
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. {\circledC} 2009 IEEE.",
author = "D. Danilov and P.H.L. Notten",
year = "2009",
doi = "10.1109/VPPC.2009.5289835",
language = "English",
isbn = "9781-424426003",
pages = "5289835--320",
booktitle = "5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI",
publisher = "Institute of Electrical and Electronics Engineers",
address = "United States",

}

Danilov, D & Notten, PHL 2009, Adaptive battery management systems for the new generation of electrical vehicles. in 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI. Institute of Electrical and Electronics Engineers, Dearborn, Michigan, U.S.A., pp. 5289835-320. https://doi.org/10.1109/VPPC.2009.5289835

Adaptive battery management systems for the new generation of electrical vehicles. / Danilov, D.; Notten, P.H.L.

5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI. Dearborn, Michigan, U.S.A. : Institute of Electrical and Electronics Engineers, 2009. p. 5289835-320.

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

TY - GEN

T1 - Adaptive battery management systems for the new generation of electrical vehicles

AU - Danilov, D.

AU - Notten, P.H.L.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

U2 - 10.1109/VPPC.2009.5289835

DO - 10.1109/VPPC.2009.5289835

M3 - Conference contribution

SN - 9781-424426003

SP - 5289835

EP - 5289320

BT - 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI

PB - Institute of Electrical and Electronics Engineers

CY - Dearborn, Michigan, U.S.A.

ER -

Danilov D, Notten PHL. Adaptive battery management systems for the new generation of electrical vehicles. In 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI. Dearborn, Michigan, U.S.A.: Institute of Electrical and Electronics Engineers. 2009. p. 5289835-320 https://doi.org/10.1109/VPPC.2009.5289835