Battery Management System for Future Electric Vehicles

Open Access

Battery Management System for Future Electric Vehicles

The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimi...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Moulik, Bedatri
Sonstige:
Söffker, Dirk
Moulik, Bedatri
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (154 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993545851204498
ctrlnum (CKB)5400000000045159
(oapen)https://directory.doabooks.org/handle/20.500.12854/69272
(EXLCZ)995400000000045159
collection bib_alma
record_format marc
spelling Söffker, Dirk edt
Battery Management System for Future Electric Vehicles
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (154 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.
English
History of engineering & technology bicssc
state of charge (SOC)
joint estimation
lithium-ion battery
variational Bayesian approximation
dual extended Kalman filter (DEKF)
measurement statistic uncertainty
electric vehicles
renewable energy sources
microgrid
economic dispatching
capacity allocation
cooperative optimization
SOC
second-order RC model
model parameter optimization
AUKF
small-signal modeling
battery energy storage system
battery management system
control
stability
dynamic response
wireless power
state-of-charge
electric vehicle
LiFePO4 batteries
state of charge (SoC)
Butler-Volmer equation
Arrhenius
Peukert
coulomb efficiency
back propagation neural network (BPNN)
torque and battery distribution
particle swarm optimization
air-cooled BTMS
compact lithium ion battery module
ANN
battery electric vehicles
battery management
hybrid energy storage
3-03943-350-4
3-03943-351-2
Moulik, Bedatri edt
Söffker, Dirk oth
Moulik, Bedatri oth
language English
format eBook
author2 Moulik, Bedatri
Söffker, Dirk
Moulik, Bedatri
author_facet Moulik, Bedatri
Söffker, Dirk
Moulik, Bedatri
author2_variant d s ds
b m bm
author2_role HerausgeberIn
Sonstige
Sonstige
title Battery Management System for Future Electric Vehicles
spellingShingle Battery Management System for Future Electric Vehicles
title_full Battery Management System for Future Electric Vehicles
title_fullStr Battery Management System for Future Electric Vehicles
title_full_unstemmed Battery Management System for Future Electric Vehicles
title_auth Battery Management System for Future Electric Vehicles
title_new Battery Management System for Future Electric Vehicles
title_sort battery management system for future electric vehicles
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (154 p.)
isbn 3-03943-350-4
3-03943-351-2
illustrated Not Illustrated
work_keys_str_mv AT soffkerdirk batterymanagementsystemforfutureelectricvehicles
AT moulikbedatri batterymanagementsystemforfutureelectricvehicles
status_str n
ids_txt_mv (CKB)5400000000045159
(oapen)https://directory.doabooks.org/handle/20.500.12854/69272
(EXLCZ)995400000000045159
carrierType_str_mv cr
is_hierarchy_title Battery Management System for Future Electric Vehicles
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
_version_ 1797826342866124800
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03217nam-a2200805z--4500</leader><controlfield tag="001">993545851204498</controlfield><controlfield tag="005">20240429215101.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2020 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000045159</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/69272</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000045159</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Söffker, Dirk</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Battery Management System for Future Electric Vehicles</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (154 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering &amp; technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state of charge (SOC)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">joint estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium-ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">variational Bayesian approximation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dual extended Kalman filter (DEKF)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">measurement statistic uncertainty</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric vehicles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">renewable energy sources</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microgrid</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">economic dispatching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">capacity allocation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cooperative optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SOC</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">second-order RC model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model parameter optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AUKF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">small-signal modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery energy storage system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery management system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dynamic response</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wireless power</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state-of-charge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">LiFePO4 batteries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state of charge (SoC)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Butler-Volmer equation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Arrhenius</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Peukert</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">coulomb efficiency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">back propagation neural network (BPNN)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">torque and battery distribution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">particle swarm optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">air-cooled BTMS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">compact lithium ion battery module</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ANN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery electric vehicles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hybrid energy storage</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03943-350-4</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03943-351-2</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Moulik, Bedatri</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Söffker, Dirk</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Moulik, Bedatri</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-05-01 05:37:11 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338067910004498&amp;Force_direct=true</subfield><subfield code="Z">5338067910004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338067910004498</subfield></datafield></record></collection>

Similar Items