000 03535nam a22005775i 4500
001 978-1-4471-6781-5
003 DE-He213
005 20200421112048.0
007 cr nn 008mamaa
008 151216s2016 xxk| s |||| 0|eng d
020 _a9781447167815
_9978-1-4471-6781-5
024 7 _a10.1007/978-1-4471-6781-5
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aOnori, Simona.
_eauthor.
245 1 0 _aHybrid Electric Vehicles
_h[electronic resource] :
_bEnergy Management Strategies /
_cby Simona Onori, Lorenzo Serrao, Giorgio Rizzoni.
250 _a1st ed. 2016.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2016.
300 _aXV, 112 p. 71 illus., 3 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aEnergy-based Modeling Approach -- The Control Problem for HEVs/PHEVs -- Dynamic Programming -- Pontryagin's Minimum Principle -- Equivalent Consumption Minimization Strategy -- Adaptive ECMS -- Implementation Issues.
520 _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. In addition to the examples, simulation code is provided via a website, so that readers can work on the actual implementation of energy management strategies. 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.
650 0 _aEngineering.
650 0 _aEnergy efficiency.
650 0 _aThermodynamics.
650 0 _aPhysics.
650 0 _aAutomotive engineering.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aAutomotive Engineering.
650 2 4 _aEnergy Efficiency (incl. Buildings).
650 2 4 _aApplied and Technical Physics.
650 2 4 _aThermodynamics.
700 1 _aSerrao, Lorenzo.
_eauthor.
700 1 _aRizzoni, Giorgio.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447167792
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6781-5
912 _aZDB-2-ENG
942 _cEBK
999 _c57026
_d57026