Introduction
Increasingly stringent fuel economy and emissions regulations have required the automotive industry to consider more fuel-efficient powertrains and alternative primary sources of transportation fuels. Powertrain electrification and hybridization have rapidly become part of the portfolio of all major automotive manufacturers, ranging from hybrid-electric, to plug-in hybrid-electric, to battery-electric vehicles, to hybrid-hydraulic and hybrid-mechanical solutions. The increased complexity of the powertrain systems associated with hybrid vehicles presents interesting control challenges and problems. This entry describes control problems associated with hybrid-electric vehicles (HEVs) and battery-electric vehicles (BEVs).
HEV Powertrains
An HEV powertrain contains at least two power sources: a primary engine – typically a combustion engine or a fuel cell fueled by a chemical fuel (in liquid or gaseous form) – and a secondary power source that makes use of a rechargeable...
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Bibliography
Canova M, Guezennec Y, Yurkovich S (2009) On the control of engine start/stop dynamics in a hybrid electric vehicle. ASME J Dyn Syst Meas Control 131:061005
Chaturvedi NA, Klein R, Christensen J, Ahmed J, Kojic A (2010) Algorithms for advanced battery management systems. IEEE Control Syst Mag 30(2):49–68
Gong Q, Tulpule P, Midlam-Mohler S, Marano V, Rizzoni G (2011) The role of ITS in PHEV performance improvement. In: American control conference, San Francisco
Koprubasi K, Westervelt ER, Rizzoni G (2007) Toward the systematic design of controllers for smooth hybrid electric vehicle mode changes. In: Proceedings of the American control conference, Anchorage
Miller JM (2004) Propulsion systems for hybrid vehicles. The Institution of Electrical Engineers, London
Musardo C, Rizzoni G, Guezennec Y, Staccia B (2005) A-ECMS: an adaptive algorithm for hybrid electric vehicle energy management. Eur J Control 11(4–5):509–524
Onori S, Serrao L, Rizzoni G (2014) Energy management strategies for hybrid electric vehicles. Springer, Berlin
Paganelli G, Ercole G, Brahma A, Guezennec Y, Rizzoni G (2001) General supervisory control policy for the energy optimization of charge-sustaining hybrid electric vehicles. JSAE 22: 511–518
Rahn C, Wang C-Y (2013) Battery systems engineering. Wiley, New York
Rizzoni G, Peng H (2013) Hybrid and electric vehicles: the role of dynamics and control. ASME Dyn Syst Control Mag 1(1):10–17
Rizzoni G, Guzzella L, Baumann B (1999) Unified modeling of hybrid-electric vehicle drivetrains. IEEE/ASME Trans Mechatron 4(3):246–257
Serrao L, Onori S, Rizzoni G (2009) ECMS as a realization of Pontryagin’s minimum principle for HEV control. In: Proceedings of the 2009 American control conference, Portland
Serrao L, Onori S, Rizzoni G (2011) A comparative analysis of energy management strategies for hybrid electric vehicles. ASME J Dyn Syst Meas Control 133:1–9
Tate ED, Grizzle JW, Peng H (2007) Shortest path stochastic control for hybrid electric vehicles. Int J Robust Nonlinear Control 18(14):1409–1429
Wei X, Rizzoni G (2004) Objective metrics of fuel economy, performance and driveability – a review. SAE Technical paper 2004-01-1338
Wollaeger SK, Onori S, Di Cairano S, Filev D, Ozguner U, Rizzoni G (2012) Cloud-computing based velocity profile generation for minimum fuel consumption: a dynamic programming based solution. In: American control conference, Montreal, 27–29 June 2012
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Rizzoni, G. (2014). Powertrain Control for Hybrid-Electric and Electric Vehicles. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_75-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_75-1
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