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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Electric Vehicle Powertrain Architecture and Control Global Optimization

1
Technocentre RENAULT, 78288 Guyancourt, FRANCE
2
SUPELEC, 91192 Gif-sur-Yvette, FRANCE
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2009, 3(4), 682-693; https://doi.org/10.3390/wevj3040682
Published: 25 December 2009
PDF [1934 KB, uploaded 18 May 2018]

Abstract

The design of a full electric vehicle (or battery electric vehicle (BEV)) requires the development and optimization of a complete electric powertrain, including battery, power electronics, electric machine, sensors and control system.
When designing an electrical platform, from the very beginning of the V-cycle, it is mandatory to rely on modelling and simulation tools in order to drive the main choices and then to optimize the system. This paper presents an electric powertrain simulation platform developed with Matlab-Simulink, dedicated to multiphysic optimization of the system.
As an example, the basic electrical powertrain architecture first considered in this paper includes a battery, an inverter, a dc-dc buck converter supplying motor inductor and a wound rotor synchronous machine (WRSM). The purpose is to show how simulation tools can help in comparing different powertrain control strategies.
The present simulation platform is also useful to study physics architecture. To illustrate this point, another electrical architecture is also presented, including a dc-dc boost converter between battery and inverter. This structure must be considered here as an example only in order to show how to optimize control laws taking into account various criteria, including architecture ones. Simulation results are compared for both architectures in terms of powertrain performances and range.
Keywords: Electric powertrain; simulation platform; powertrain control strategies; architecture optimization Electric powertrain; simulation platform; powertrain control strategies; architecture optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Janiaud, N.; Vallet, F.-X.; Petit, M.; Sandou, G. Electric Vehicle Powertrain Architecture and Control Global Optimization. World Electr. Veh. J. 2009, 3, 682-693.

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