Energy Storage Systems for Electric Vehicles

The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage s...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (550 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993545493004498
ctrlnum (CKB)5400000000042134
(oapen)https://directory.doabooks.org/handle/20.500.12854/69052
(NjHacI)995400000000042134
(EXLCZ)995400000000042134
collection bib_alma
record_format marc
spelling MDPI, author, issuing body.
Energy Storage Systems for Electric Vehicles
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (550 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.
English
History of engineering & technology bicssc
lithium-ion batteries
non-aqueous electrolyte
nitrile-based solvents
butyronitrile
SEI forming additives
fast charging
power batteries
improved second-order RC equivalent circuit
fuzzy unscented Kalman filtering algorithm
joint estimation
electric bus
battery
energy efficiency
environmental conditions
hybrid electric vehicles (HEVs)
battery life
multi-objective energy management
adaptive equivalent consumption minimization strategy (A-ECMS)
pontryagin’s minimum principle (PMP)
particle swarm optimization (PSO)
recurrent-neural-network (RNN)
fuel cell hybrid electric vehicle
least squares support vector machines (LSSVM)
driving conditions identification
power distribution
electric vehicle
lithium-ion battery
estimation
Kalman filter
state-of-charge
state-of-health
resistance
open-circuit voltage
battery capacity
battery modelling and simulation
battery testing cycler
battery thermal model
lithium-ion polymer battery
SLI battery
dual-motor energy recovery
regenerative braking system
CVT speed ratio control
motor minimum loss
energy consumption and efficiency characteristics
braking force distribution
oil–electric–hydraulic hybrid system
lowest instantaneous energy costs
energy management
global optimization
retired batteries
energy storage applications
layered bidirectional equalization
equalization algorithm
state of charge
available capacity
adaptive model-based algorithm
square root cubature Kalman filter
li-ion battery
performance degradation modelling
electrified propulsion
battery sizing
powertrain optimization
optimal energy management
heat and mass transfer
thermal analysis
Lithium-ion battery
micro-channel cooling plate
battery thermal management
MeshWorks
CFD
diffusion induced stress
hydrostatic stress influence on diffusion
electrode particle model
battery mechanical aging
coulomb counting
open circuit voltage
state of health
temperature
new energy vehicle
power battery
battery reusing
echelon utilization
battery recycling
electric vehicles
electro-hydraulic braking
braking intention
mode switching
torque coordinated control
Electric Truck Simulator
Electric Vehicle (EV)
Vehicle Routing Problem (VRP)
Traveling Salesman Problem (TSP)
least-energy routing algorithm
EV batteries
metric evaluation
AC–AC converters
battery chargers
power conversion harmonics
wireless power transmission
electrochemical–thermal model
artificial intelligence
artificial neural networks
hybrid vehicles
state-of-charge estimation (SOC)
linear quadratic estimator
lithium ion battery
iron phosphate
cell expansion
force
lithium-ion cobalt battery
state of energy
adaptive EKF SOC estimation
linear observer SOC estimation
MATLAB
Simscape
electric buses
thermal energy storage
latent heat storage
metallic phase change material
cabin heating
fuel cell
automated guided vehicle
hybrid energy storage system
model-based design
waveforms modeling
autoregressive models of nonstationary signals
3-03936-962-8
3-03936-963-6
language English
format eBook
author_corporate MDPI,
author_facet MDPI,
author_corporate_role VerfasserIn
author_sort MDPI,
title Energy Storage Systems for Electric Vehicles
spellingShingle Energy Storage Systems for Electric Vehicles
title_full Energy Storage Systems for Electric Vehicles
title_fullStr Energy Storage Systems for Electric Vehicles
title_full_unstemmed Energy Storage Systems for Electric Vehicles
title_auth Energy Storage Systems for Electric Vehicles
title_new Energy Storage Systems for Electric Vehicles
title_sort energy storage systems for electric vehicles
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (550 p.)
isbn 3-03936-962-8
3-03936-963-6
callnumber-first T - Technology
callnumber-subject TK - Electrical and Nuclear Engineering
callnumber-label TK2896
callnumber-sort TK 42896 M375 42020
illustrated Not Illustrated
dewey-hundreds 600 - Technology
dewey-tens 620 - Engineering
dewey-ones 621 - Applied physics
dewey-full 621.3124240284
dewey-sort 3621.3124240284
dewey-raw 621.3124240284
dewey-search 621.3124240284
work_keys_str_mv AT mdpi energystoragesystemsforelectricvehicles
status_str n
ids_txt_mv (CKB)5400000000042134
(oapen)https://directory.doabooks.org/handle/20.500.12854/69052
(NjHacI)995400000000042134
(EXLCZ)995400000000042134
carrierType_str_mv cr
is_hierarchy_title Energy Storage Systems for Electric Vehicles
_version_ 1796648768209158144
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>07235nam-a2201837z--4500</leader><controlfield tag="001">993545493004498</controlfield><controlfield tag="005">20231214133355.0</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)5400000000042134</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/69052</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995400000000042134</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000042134</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TK2896</subfield><subfield code="b">.M375 2020</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">621.3124240284</subfield><subfield code="2">23</subfield></datafield><datafield tag="110" ind1="2" ind2=" "><subfield code="a">MDPI,</subfield><subfield code="e">author,</subfield><subfield code="e">issuing body.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Energy Storage Systems for 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 (550 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="520" ind1=" " ind2=" "><subfield code="a">The global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.</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">lithium-ion batteries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-aqueous electrolyte</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nitrile-based solvents</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">butyronitrile</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SEI forming additives</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fast charging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">power batteries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">improved second-order RC equivalent circuit</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fuzzy unscented Kalman filtering algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">joint estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric bus</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy efficiency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">environmental conditions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hybrid electric vehicles (HEVs)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery life</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multi-objective energy management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive equivalent consumption minimization strategy (A-ECMS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pontryagin’s minimum principle (PMP)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">particle swarm optimization (PSO)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">recurrent-neural-network (RNN)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fuel cell hybrid electric vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">least squares support vector machines (LSSVM)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">driving conditions identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">power distribution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium-ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Kalman filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state-of-charge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state-of-health</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">resistance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">open-circuit voltage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery capacity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery modelling and simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery testing cycler</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery thermal model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium-ion polymer battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SLI battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dual-motor energy recovery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regenerative braking system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CVT speed ratio control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motor minimum loss</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy consumption and efficiency characteristics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">braking force distribution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">oil–electric–hydraulic hybrid system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lowest instantaneous energy costs</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">global optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">retired batteries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy storage applications</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">layered bidirectional equalization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">equalization algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state of charge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">available capacity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive model-based algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">square root cubature Kalman filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">li-ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">performance degradation modelling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electrified propulsion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery sizing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">powertrain optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">optimal energy management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heat and mass transfer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thermal analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Lithium-ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">micro-channel cooling plate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery thermal management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MeshWorks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CFD</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">diffusion induced stress</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hydrostatic stress influence on diffusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electrode particle model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery mechanical aging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">coulomb counting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">open circuit voltage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state of health</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">temperature</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">new energy vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">power battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery reusing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">echelon utilization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery recycling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric vehicles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electro-hydraulic braking</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">braking intention</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mode switching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">torque coordinated control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electric Truck Simulator</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electric Vehicle (EV)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vehicle Routing Problem (VRP)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Traveling Salesman Problem (TSP)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">least-energy routing algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">EV batteries</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">metric evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AC–AC converters</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">battery chargers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">power conversion harmonics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wireless power transmission</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electrochemical–thermal model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hybrid vehicles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state-of-charge estimation (SOC)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">linear quadratic estimator</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium ion battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">iron phosphate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cell expansion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">force</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lithium-ion cobalt battery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">state of energy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive EKF SOC estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">linear observer SOC estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MATLAB</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Simscape</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric buses</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thermal energy storage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">latent heat storage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">metallic phase change material</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cabin heating</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fuel cell</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">automated guided vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hybrid energy storage system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model-based design</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">waveforms modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">autoregressive models of nonstationary signals</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03936-962-8</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03936-963-6</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:52:03 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=5337930490004498&amp;Force_direct=true</subfield><subfield code="Z">5337930490004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337930490004498</subfield></datafield></record></collection>