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020 _a9783319513171
_9978-3-319-51317-1
024 7 _a10.1007/978-3-319-51317-1
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
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072 7 _aTJFM
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082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aBöhme, Thomas J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942905
245 1 0 _aHybrid Systems, Optimal Control and Hybrid Vehicles
_h[electronic resource] :
_bTheory, Methods and Applications /
_cby Thomas J. Böhme, Benjamin Frank.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXXIII, 530 p. 143 illus., 113 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 _aAdvances in Industrial Control,
_x2193-1577
505 0 _aPart I Introduction -- Introduction -- Modeling of Hybrid Vehicles as Cyber-physical Systems -- Optimal Control Preliminaries -- Problem Formulation -- Part II Numerical Solutions -- Optimal Control Solutions Using Indirect Methods -- Optimal Control Solutions Using Direct Methods -- Numerical Algorithms -- Part III Applications -- Advanced Applications -- Predictive Real-time Energy Management -- CO2 Management.
520 _aThis book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite. Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems. A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles. Important topics of real relevance rarely found in text books and research publications—switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.—are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control are provided in terms of requirements, benefits and risks. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 _aControl engineering.
_931970
650 0 _aAutomotive engineering.
_942906
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aAutomotive Engineering.
_942907
700 1 _aFrank, Benjamin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942908
710 2 _aSpringerLink (Online service)
_942909
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319513157
776 0 8 _iPrinted edition:
_z9783319513164
776 0 8 _iPrinted edition:
_z9783319846187
830 0 _aAdvances in Industrial Control,
_x2193-1577
_942910
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51317-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77215
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