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A methodology and a tool for evaluating hybrid electric powertrain configurations

Nikolce Murgovski (Institutionen för signaler och system, Mekatronik) ; Jonas Sjöberg (Institutionen för signaler och system, Mekatronik) ; Jonas Fredriksson (Institutionen för signaler och system, Mekatronik)
International Journal of Electric and Hybrid Vehicles (1751-4088). Vol. 3 (2011), 3, p. 219-245.
[Artikel, refereegranskad vetenskaplig]

This paper describes a methodology for automatic optimisation of hybrid electric powertrains. This methodology is developed and implemented in a tool, CAPSimO, and the paper is written in the form of describing the tool. Given the user inputs, which are dynamic vehicle model, driving cycle and optimisation criterion, the tool first produces a simplified powertrain model in a form of static maps, before dynamic programming is used to find an optimal power split which minimises the chosen criterion. The tool does not require that the vehicle model is transparent, which makes it possible to work on models hidden for intellectual property reasons. The paper presents two examples of powertrain evaluation, in terms of fuel consumption, for a parallel and a parallel-series powertrain.

Nyckelord: hybrid electric vehicle, HEV, power management, optimal control, non-transparent model, black-box model, powertrain sizing, model simplification, static map, steady-state detection



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Denna post skapades 2011-11-21. Senast ändrad 2015-07-28.
CPL Pubid: 148748

 

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Institutioner (Chalmers)

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

Ämnesområden

Energi
Transport
Reglerteknik
Signalbehandling
Farkostteknik

Chalmers infrastruktur

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