Adaptive battery management systems for the new generation of electrical vehicles

D. Danilov; P.H.L. Notten

doi:10.1109/VPPC.2009.5289835

Adaptive battery management systems for the new generation of electrical vehicles

D. Danilov
, P.H.L. Notten

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

29 Citations (Scopus)

7 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 language	English
Title of host publication	5th IEEE Vehicle Power and Propulsion Conference, VPPC '09, 7 September - 10 September 2009, Dearborn, MI
Place of Publication	Dearborn, Michigan, U.S.A.
Publisher	Institute of Electrical and Electronics Engineers
Pages	5289835-320
ISBN (Print)	9781-424426003
DOIs	https://doi.org/10.1109/VPPC.2009.5289835
Publication status	Published - 2009

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10.1109/VPPC.2009.5289835

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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. {\textcopyright} 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",

}

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 proceeding › Conference contribution › Academic › peer-review

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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

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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 -

Adaptive battery management systems for the new generation of electrical vehicles

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