Optimal Control of Hybrid Vehicles by Bram de Jager, Thijs van Keulen, John Kessels

By Bram de Jager, Thijs van Keulen, John Kessels

Optimum keep watch over of Hybrid cars offers an outline of energy teach keep watch over for hybrid cars. The heritage, environmental motivation and keep watch over demanding situations linked to hybrid cars are brought. The textual content comprises mathematical versions for all proper elements within the hybrid energy educate. the facility break up challenge in hybrid energy trains is officially defined and a number of other numerical strategies special, together with dynamic programming and a singular answer for state-constrained optimum keep an eye on difficulties in response to the utmost precept. Real-time-implementable innovations which could approximate the optimum answer heavily are handled intensive. numerous methods are mentioned and in comparison, together with a state of the art procedure that is adaptive for motor vehicle stipulations like pace and mass. 3 case experiences are incorporated within the ebook: • a keep watch over approach for a micro-hybrid strength teach; • experimental effects got with a real-time approach applied in a hybrid electrical truck; and • an research of the optimum part sizes for a hybrid strength educate. optimum keep an eye on of Hybrid autos will entice educational researchers and graduate scholars drawn to hybrid car keep watch over or within the purposes of optimum keep watch over. Practitioners operating within the layout of keep an eye on platforms for the car also will locate the tips propounded during this e-book of curiosity.

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Sample text

An energy management strategy (EMS) makes this decision according to an advanced control algorithm. Today, many solution concepts exist and in this work the method of optimal control will be applied. 1) here, u is the control variable, U the set of admissible controls, J the performance criterion (also called performance index, control objective or cost function), t the time index, x the state variable, r the extraneous input, f the dynamical state equations, g the equality constraints and h the inequality constraints.

2007). One of the well known tools for modeling (hybrid) drivetrains is the simulation package “ADVISOR”, see Markel et al. , Johnson et al. (2000), Gao et al. (2007). However, there is no emphasis on simplified analytical models for online control purposes. Alternative tools are described in Butler et al. (1999), Lin et al. (2001), Onoda and Emadi (2004). Specialized approaches, like gyrator theory, are used in Routex et al. (2000). Models are also introduced when a specific control strategy for hybrid systems is discussed.

Patent nr 37435 Clarke FH (1983) Optimization and nonsmooth analysis. Wiley, New York Edwards R, Larivé JF, Mahieu V, Rouveirolles P (2006) Well-to-wheels analysis of future automotive fuels and powertrains in the European context. WELL-TO-TANK report version 2b. European Commission Joint Research, Centre, Institute for Environment and Sustainability Franzese O, Davidson D (2011) Effect of weight and roadway grade on the fuel economy of class-8 freight trucks. Tech rep ORNL/TM-2011/471, Oak Ridge National Laboratory.

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