LEADER 04404nam 22007815 450 001 9910254230603321 005 20200630114328.0 010 $a1-4471-6781-3 024 7 $a10.1007/978-1-4471-6781-5 035 $a(CKB)3710000000538878 035 $a(EBL)4199011 035 $a(SSID)ssj0001597276 035 $a(PQKBManifestationID)16297869 035 $a(PQKBTitleCode)TC0001597276 035 $a(PQKBWorkID)14886342 035 $a(PQKB)10622049 035 $a(DE-He213)978-1-4471-6781-5 035 $a(MiAaPQ)EBC4199011 035 $a(PPN)190882735 035 $a(EXLCZ)993710000000538878 100 $a20151216d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHybrid Electric Vehicles$b[electronic resource] $eEnergy Management Strategies /$fby Simona Onori, Lorenzo Serrao, Giorgio Rizzoni 205 $a1st ed. 2016. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2016. 215 $a1 online resource (121 p.) 225 1 $aSpringerBriefs in Control, Automation and Robotics,$x2192-6786 300 $aDescription based upon print version of record. 311 $a1-4471-6779-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aEnergy-based Modeling Approach -- The Control Problem for HEVs/PHEVs -- Dynamic Programming -- Pontryagin?s Minimum Principle -- Equivalent Consumption Minimization Strategy -- Adaptive ECMS -- Implementation Issues. 330 $aThis SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle?s power is provided by each source instant by instant. Hybrid Electric Vehicles: ?introduces methods for modeling energy flow in hybrid electric vehicles; ?presents a standard mathematical formulation of the optimal control problem; ?discusses different optimization and control strategies for energy management, integrating the most recent research results; and ?carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies. 410 0$aSpringerBriefs in Control, Automation and Robotics,$x2192-6786 606 $aControl engineering 606 $aAutomotive engineering 606 $aEnergy efficiency 606 $aPhysics 606 $aThermodynamics 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aAutomotive Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17047 606 $aEnergy Efficiency$3https://scigraph.springernature.com/ontologies/product-market-codes/118000 606 $aApplied and Technical Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P31000 606 $aThermodynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21050 615 0$aControl engineering. 615 0$aAutomotive engineering. 615 0$aEnergy efficiency. 615 0$aPhysics. 615 0$aThermodynamics. 615 14$aControl and Systems Theory. 615 24$aAutomotive Engineering. 615 24$aEnergy Efficiency. 615 24$aApplied and Technical Physics. 615 24$aThermodynamics. 676 $a629.229 700 $aOnori$b Simona$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761828 702 $aSerrao$b Lorenzo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRizzoni$b Giorgio$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254230603321 996 $aHybrid Electric Vehicles$92499557 997 $aUNINA