LEADER 03109nam 2200649Ia 450 001 9910459939903321 005 20200520144314.0 010 $a1-282-64537-4 010 $a9786612645372 010 $a0-8213-8317-5 035 $a(CKB)2670000000039945 035 $a(EBL)589786 035 $a(OCoLC)811492932 035 $a(SSID)ssj0000410044 035 $a(PQKBManifestationID)12148175 035 $a(PQKBTitleCode)TC0000410044 035 $a(PQKBWorkID)10349561 035 $a(PQKB)10959749 035 $a(MiAaPQ)EBC589786 035 $a(Au-PeEL)EBL589786 035 $a(CaPaEBR)ebr10397685 035 $a(CaONFJC)MIL264537 035 $a(EXLCZ)992670000000039945 100 $a20100416d2010 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNew policies for mandatory defined contribution pensions$b[electronic resource] $eindustrial organization models and investment products /$fGregorio Impavido, Esperanza Lasagabaster, Manuel Garci?a-Huitro?n 210 $aWashington, D.C. $cWorld Bank$d2010 215 $a1 online resource (385 p.) 225 1 $aLatin American development forum series 300 $aDescription based upon print version of record. 311 $a0-8213-8276-4 320 $aIncludes bibliographical references and index. 327 $aHalf title; Title; Copyright; Latin American Development Forum Series; Titles in the Latin American Development Forum Series; About the Contributors; Contents; Foreword; Acknowledgments; Abbreviations; 1 Introduction; 2 Industrial Organization Issues and Their Consequences; 3 Narrowly Focused Policies or Alternative Industrial Models?; 4 Investment Choice and the Design of Investment Options; 5 Conclusions; Index 330 $aMandatory defined contribution pension markets are present in a growing number of countries around the world. But despite their popularity, policymakers continue to struggle with two key policy concerns. On the one hand, a number of design shortcomings encourages pension firms to charge high administrative fees. On the other hand, the global crisis that started in 2007 has reignited the debate on whether pension participants bear excessive investment risk. Both are valid policy concerns as their incidence can imply higher than expected levels of poverty among old age individuals. Both concerns 410 0$aLatin American development forum. 606 $aDefined contribution pension plans 606 $aPensions 606 $aIndustrial organization 608 $aElectronic books. 615 0$aDefined contribution pension plans. 615 0$aPensions. 615 0$aIndustrial organization. 676 $a331.25/2 700 $aImpavido$b Gregorio$0883152 701 $aLasagabaster$b Esperanza$0947310 701 $aGarci?a-Huitro?n$b Manuel$0947311 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459939903321 996 $aNew policies for mandatory defined contribution pensions$92140377 997 $aUNINA LEADER 03364nam 2200865z- 450 001 9910557625603321 005 20210501 035 $a(CKB)5400000000045159 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69272 035 $a(oapen)doab69272 035 $a(oapen)69272 035 $a(EXLCZ)995400000000045159 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBattery Management System for Future Electric Vehicles 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (154 p.) 311 08$a3-03943-350-4 311 08$a3-03943-351-2 330 $aThe 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. 606 $aHistory of engineering and technology$2bicssc 610 $aair-cooled BTMS 610 $aANN 610 $aArrhenius 610 $aAUKF 610 $aback propagation neural network (BPNN) 610 $abattery electric vehicles 610 $abattery energy storage system 610 $abattery management 610 $abattery management system 610 $aButler-Volmer equation 610 $acapacity allocation 610 $acompact lithium ion battery module 610 $acontrol 610 $acooperative optimization 610 $acoulomb efficiency 610 $adual extended Kalman filter (DEKF) 610 $adynamic response 610 $aeconomic dispatching 610 $aelectric vehicle 610 $aelectric vehicles 610 $ahybrid energy storage 610 $ajoint estimation 610 $aLiFePO4 batteries 610 $alithium-ion battery 610 $ameasurement statistic uncertainty 610 $amicrogrid 610 $amodel parameter optimization 610 $an/a 610 $aparticle swarm optimization 610 $aPeukert 610 $arenewable energy sources 610 $asecond-order RC model 610 $asmall-signal modeling 610 $aSOC 610 $astability 610 $astate of charge (SoC) 610 $astate of charge (SOC) 610 $astate-of-charge 610 $atorque and battery distribution 610 $avariational Bayesian approximation 610 $awireless power 615 7$aHistory of engineering and technology 700 $aSöffker$b Dirk$4edt 702 $aMoulik$b Bedatri$4edt 702 $aSöffker$b Dirk$4oth 702 $aMoulik$b Bedatri$4oth 906 $aBOOK 912 $a9910557625603321 996 $aBattery Management System for Future Electric Vehicles$93017191 997 $aUNINA