Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor
Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor
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.
electric vehicles, mixed domain simulation, behavioural modelling
1-9
Cooper, Ian
deb77f95-a0a7-48c8-a60d-9bacc65f09fe
Wilson, Peter R.
8a65c092-c197-4f43-b8fc-e12977783cb3
Brown, Andrew D.
5c19e523-65ec-499b-9e7c-91522017d7e0
Cooper, Ian
deb77f95-a0a7-48c8-a60d-9bacc65f09fe
Wilson, Peter R.
8a65c092-c197-4f43-b8fc-e12977783cb3
Brown, Andrew D.
5c19e523-65ec-499b-9e7c-91522017d7e0
[Unknown type: UNSPECIFIED]
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.
Text
ieee_tpels_dq_motor_ev.pdf
- Author's Original
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e-pub ahead of print date: 2013
Keywords:
electric vehicles, mixed domain simulation, behavioural modelling
Organisations:
EEE
Identifiers
Local EPrints ID: 369964
URI: http://eprints.soton.ac.uk/id/eprint/369964
PURE UUID: 23c25abb-05b8-4f56-abe6-aced9e738e7b
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Date deposited: 10 Oct 2014 09:15
Last modified: 03 Nov 2023 18:16
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Contributors
Author:
Ian Cooper
Author:
Peter R. Wilson
Author:
Andrew D. Brown
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