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Optimal sizing of a parallel PHEV powertrain

Mitra Pourabdollah (Institutionen för signaler och system, Reglerteknik) ; Nikolce Murgovski (Institutionen för signaler och system, Mekatronik) ; Anders Grauers (Institutionen för signaler och system, Automation) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
IEEE Transactions on Vehicular Technology (0018-9545). Vol. 62 (2013), 6, p. 2469 - 2480.
[Artikel, refereegranskad vetenskaplig]

Abstract—This paper introduces a novel method for the simultaneous optimization of energy management and powertrain component sizing of a parallel plug-in hybrid electric vehicle (PHEV). The problem is formulated as a convex optimization problem to minimize an objective function, which is a weighted sum of operational and component costs. The operational cost includes the consumed fossil fuel and electrical energy, whereas the component cost includes the cost of the battery, electric motor (EM), and internal combustion engine (ICE). The powertrain model includes quadratic losses for the powertrain components. Moreover, the combustion engine and the electric motor losses are assumed to linearly scale with respect to the size and the losses of baseline components. The result of the optimization is the variables of the global optimal energy management for every time instant and optimal component sizes. Due to the dependency of the result on the driving cycle, a long real-life cycle with its charging times is chosen to represent a general driving pattern. The method allows the study of the effect of some performance requirements, i.e., acceleration, top speed, and all-electric range, on the component sizes and total cost.

Nyckelord: Convex optimization; energy management; hybrid electric vehicles; optimal control; sizing

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Denna post skapades 2013-01-11. Senast ändrad 2016-08-18.
CPL Pubid: 170223


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)
Institutionen för signaler och system, Mekatronik (2005-2017)
Institutionen för signaler och system, Automation (2005-2017)


Elektroteknik och elektronik

Chalmers infrastruktur

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Denna publikation ingår i:

On Optimization of Plug-in Hybrid Electric Vehicles