High level optimization of Electric Vehicle power-train with Doehlert experimental design

In this paper, an optimization is reported for the determination of time response (Tr) and power (P) of Electric Vehicle. The electric constant of back-electromotive-force, stator d- and q- axes inductances, switching period, battery voltage, stator resistance and torque gear ratio were selected as...

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Main Authors: Jaber, K, Fakhfakh, A, Neji, R
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Doehlert experimental
Electrical Vehicle
Integrated circuit modeling
Mathematical model
Optimization
PMSM
Stators
Traction motors
Vehicles
VHDL-AMS
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Fakhfakh, A
Neji, R
description In this paper, an optimization is reported for the determination of time response (Tr) and power (P) of Electric Vehicle. The electric constant of back-electromotive-force, stator d- and q- axes inductances, switching period, battery voltage, stator resistance and torque gear ratio were selected as factors being able to influence the Tr and P. The optimization process was carried out with Doehlert experimental design.
doi_str_mv 10.1109/SM2ACD.2010.5672352
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biological system modeling
Doehlert experimental
Electrical Vehicle
Integrated circuit modeling
Mathematical model
Optimization
PMSM
Stators
Traction motors
Vehicles
VHDL-AMS
title High level optimization of Electric Vehicle power-train with Doehlert experimental design
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