New modelling methodology for different PM motors for electric and hybrid vehicles

Fonseca, A.; Chillet, Christian; Atienza, E.; Bui-Van, A.-L.; Bigeon, Jean

doi:10.1109/iemdc.2001.939294

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…Figure 7 shows the efficiency map of the HESM with previously defined parameters. Efficiency maps constitute a convenient way to assess motor designs and their control strategies [1,4,11,12,14,15,16,17,18,19,20,21,22,23]. Effects of the different parameters and variables are studied in the following sections.…”

Section: Design Specifications and Variables Effectsmentioning

confidence: 99%

Pre-optimization of hybridization ratio in hybrid excitation synchronous machines using electrical circuits modelling

Amara

Hlioui

Ahmed

et al. 2021

Mathematics and Computers in Simulation

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Section: Design Specifications and Variables Effectsmentioning

confidence: 99%

Pre-optimization of hybridization ratio in hybrid excitation synchronous machines using electrical circuits modelling

Amara

Hlioui

Ahmed

et al. 2021

Mathematics and Computers in Simulation

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“…In automotive application, traction motors operate over the entire torque/speed range. Efficiency maps constitute then a convenient way to assess motor design [55][56][57][58]. Traction motors should be able to operate at any torque/speed combination within the motor's operating envelope.…”

Section: A Motoring Modementioning

confidence: 99%

Overview of hybrid excitation synchronous machines technology

Hlioui

Amara

Hoang

et al. 2013

2013 International Conference on Electrical Engineering and Software Applications

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This paper describes the state of the art of hybrid excitation synchronous machines. Different hybrid excited synchronous structures from scientific and technical literature are described and analysed. Advantages and drawbacks of the different structures are discussed. Different method of classification of these structures will also be discussed. The contribution of the hybrid excitation principle for motoring and generating mode is detailed and the different models for the design of these structures are presented.

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“…Before optimizing a powertrain design, it must be modelled to simulate the required objectives and constraints, and a control scheme for the components is needed to get those results. At this stage, it seems natural to optimize each operating points separately (Fonseca et al 2001) (Buyukdegirmenci et al 2014). Then this model with included control is used for design optimization (Wu et al 2011) (Aubry et al 2012) (Krebs et al 2012) (Chen et al 2014) (Menn et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Mono and bi-Level optimization architectures for powertrain design

Caillard¹,

Gillon²,

Randi

et al. 2016

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose The purpose of this paper is to compare two design optimization architectures for the optimal design of a complex device that integrates simultaneously the sizing of system components and the control strategy for increasing the energetic performances. The considered benchmark is a battery electric passenger car. Design/methodology/approach The optimal design of an electric vehicle powertrain is addressed within this paper, with regards to performances and range. The objectives and constraints require simulating several vehicle operating points, each of them has one degree of freedom for the electric machine control. This control is usually determined separately for each point with a sampling or an optimization loop resulting in an architecture called bi-level. In some conditions, the control variables can be transferred to the design optimization loop by suppressing the inner loop to get a mono-level formulation. The paper describes in which conditions this transformation can be done and compares the results for both architectures. Findings Results show a calculation time divided by more than 30 for the mono-level architecture compared to the natural bi-level on the study case. Even with the same models and optimization algorithms, the structure of the problem should be studied to improve the results, especially if computational cost is high. Originality/value The compared architectures bring new guidelines in the field optimal design for electric powertrains. The way to formulate a design optimization with some inner degrees of freedom can have a significant impact on computing time and on the problem understanding

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New modelling methodology for different PM motors for electric and hybrid vehicles

Cited by 9 publications

References 7 publications

Pre-optimization of hybridization ratio in hybrid excitation synchronous machines using electrical circuits modelling

Pre-optimization of hybridization ratio in hybrid excitation synchronous machines using electrical circuits modelling

Overview of hybrid excitation synchronous machines technology

Mono and bi-Level optimization architectures for powertrain design

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