Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor

Ian Cooper, Peter R. Wilson, Andrew D. Brown

Research output: Working paper

Abstract

This paper presents a system level for the effective and rapid design and evaluation of a complete electric vehicle system. Several critical components are examined including the mechanical model of the vehicle, the electric motor (with its associated power electronic components) and the energy storage system.A Brushless DC (BLDC) motor Saber model that integrates the DQ axis transformations within the electro-mechanical motor model is developed that facilitates fast and accurate characterization of the behaviour of the vehicle with a realistic drive cycle and aerodynamic model. The simulated results presented show that the novel Saber model can be a viable solution for behavioural high speed analysis of an electric vehicle drive train. The impact on total vehicle simulation times is significant, with a major reduction in simulation times allowing multiple scenarios and optimization of both the system and electronic control to be rapidly undertaken.
LanguageUndefined/Unknown
Pages1-9
Number of pages9
StatusPublished - 2013

Keywords

  • electric vehicles, mixed domain simulation, behavioural modelling

Cite this

@techreport{a2441fbb20044bd0a9725420f22e6e37,
title = "Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor",
abstract = "This paper presents a system level for the effective and rapid design and evaluation of a complete electric vehicle system. Several critical components are examined including the mechanical model of the vehicle, the electric motor (with its associated power electronic components) and the energy storage system.A Brushless DC (BLDC) motor Saber model that integrates the DQ axis transformations within the electro-mechanical motor model is developed that facilitates fast and accurate characterization of the behaviour of the vehicle with a realistic drive cycle and aerodynamic model. The simulated results presented show that the novel Saber model can be a viable solution for behavioural high speed analysis of an electric vehicle drive train. The impact on total vehicle simulation times is significant, with a major reduction in simulation times allowing multiple scenarios and optimization of both the system and electronic control to be rapidly undertaken.",
keywords = "electric vehicles, mixed domain simulation, behavioural modelling",
author = "Ian Cooper and Wilson, {Peter R.} and Brown, {Andrew D.}",
year = "2013",
language = "Undefined/Unknown",
pages = "1--9",
type = "WorkingPaper",

}

TY - UNPB

T1 - Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor

AU - Cooper, Ian

AU - Wilson, Peter R.

AU - Brown, Andrew D.

PY - 2013

Y1 - 2013

N2 - This paper presents a system level for the effective and rapid design and evaluation of a complete electric vehicle system. Several critical components are examined including the mechanical model of the vehicle, the electric motor (with its associated power electronic components) and the energy storage system.A Brushless DC (BLDC) motor Saber model that integrates the DQ axis transformations within the electro-mechanical motor model is developed that facilitates fast and accurate characterization of the behaviour of the vehicle with a realistic drive cycle and aerodynamic model. The simulated results presented show that the novel Saber model can be a viable solution for behavioural high speed analysis of an electric vehicle drive train. The impact on total vehicle simulation times is significant, with a major reduction in simulation times allowing multiple scenarios and optimization of both the system and electronic control to be rapidly undertaken.

AB - This paper presents a system level for the effective and rapid design and evaluation of a complete electric vehicle system. Several critical components are examined including the mechanical model of the vehicle, the electric motor (with its associated power electronic components) and the energy storage system.A Brushless DC (BLDC) motor Saber model that integrates the DQ axis transformations within the electro-mechanical motor model is developed that facilitates fast and accurate characterization of the behaviour of the vehicle with a realistic drive cycle and aerodynamic model. The simulated results presented show that the novel Saber model can be a viable solution for behavioural high speed analysis of an electric vehicle drive train. The impact on total vehicle simulation times is significant, with a major reduction in simulation times allowing multiple scenarios and optimization of both the system and electronic control to be rapidly undertaken.

KW - electric vehicles, mixed domain simulation, behavioural modelling

UR - http://eprints.soton.ac.uk/369964/

M3 - Working paper

SP - 1

EP - 9

BT - Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor

ER -