Advanced identification and modelling of a PMSM in an EV context considering non-linear effects | BEAMS

Advanced identification and modelling of a PMSM in an EV context considering non-linear effects

Project information
Project type: 
Master thesis
Academic year: 
2018-2019
Status: 
Proposal
Research unit: 
Electrical Energy
BEAMS supervisors
Academic promoter
Supervisor
External supervisors
Mathieu Sarrazin
Industrial promoter

Permanent-magnet synchronous motors (PMSMs) benefit from high efficiency and compactness and
are therefore commonly implemented in electrical-vehicles (EVs). An example of application of this
motor in a commercial road electrical vehicle is the Nissan LEAF (see Figure 1). For this car model,
several characteristics are given by the manufacturer, such as the rated values, the power and
torque curves and the efficiency map (see for example Figure 2).
The objective of this master thesis consists of performing an advanced identification of the PMSM of
Nissan Leaf, considering non-linear effects (e.g. temperature, magnetic saturation), using varying
parameters. This identification aims at designing an advanced model of the PMSM to check the
efficiency map and power consumption specified by the manufacturer in EV context in a realistic
way.
Main tasks (for 1 or 2 students):

  • advanced identification of the Nissan Leaf motor (see figures below) combining experimental tests and FE simulations;
  • design of an advanced model of the investigated PMSM, combining electromechanical, heattransfer and magnetic modelling;
  • computation of the characteristic curves of the PMSM using the model and comparison with the data given by the manufacturer.

References:
[1] http://www.automobile-catalog.com/curve/2017/2604875/nissan_leaf_g.html
[2] https://www.caranddriver.com/nissan/leaf/specs

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