A Pre-Sizing Method for Salient Pole Synchronous Reluctance Machines with Loss Minimization Control for a Small Urban Electrical Vehicle Considering the Driving Cycle
Nicolas Bernard (),
Linh Dang,
Luc Moreau and
Salvy Bourguet
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Nicolas Bernard: Institut de Recherche en Énergie Électrique de Nantes Atlantique, Nantes Université, IREENA, UR 4642, F-44600 Saint-Nazaire, France
Linh Dang: Institut de Recherche en Énergie Électrique de Nantes Atlantique, Nantes Université, IREENA, UR 4642, F-44600 Saint-Nazaire, France
Luc Moreau: Institut de Recherche en Énergie Électrique de Nantes Atlantique, Nantes Université, IREENA, UR 4642, F-44600 Saint-Nazaire, France
Salvy Bourguet: Institut de Recherche en Énergie Électrique de Nantes Atlantique, Nantes Université, IREENA, UR 4642, F-44600 Saint-Nazaire, France
Energies, 2022, vol. 15, issue 23, 1-19
Abstract:
In this paper, a design methodology for synchronous reluctance machines (SynRM) working with variable torque and speed profiles was presented. Unlike conventional solutions which size the machine considering a reduced number of working points in order to reduce the computation time, the solution proposed in this paper takes into account all the points which allow for better management of the constraints along the cycle to avoid an oversizing of the machine. To solve this problem with a reduced computation time, the geometry of the motor as well as the control strategy were optimized in two steps. In the first step, the d-q axis stator currents were analytically expressed. In the second step, the geometry was optimized with the use of a genetic algorithm. As an application of this method, the case of a small and low-cost electric vehicle (EV) was chosen with the objective of minimizing both the mass and the energy lost for the standardized urban dynamometer driving schedule (UDDS). The method was based on the use of a 1-D analytical model which was validated by a 2D finite element analysis (FEA).
Keywords: SynRM; co-design optimization; driving cycle; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:23:p:9110-:d:990368
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