Power transformer model in railway applications based on bond graph and parameter identification

Saba Amirdehi (1) , Baptiste Trajin (2) , Paul-Etienne Vidal (2) , Johana Vally (1) , Didier Colin (1)

1 Alstom Transport SA
2 LGP - Laboratoire Génie de Production

Validation and verification are the most important issues in railway applications due to cost and security reasons. Therefore, having a model of the system would be necessary in this case. Due to non-ideal test conditions in industrial applications, an accurate parameter identification process has to be defined. In this paper, bond graph method is used to model energy exchanges within components of a traction chain. More precisely, the non-linear transformer model and its parameter identification is studied. In the case of non-ideal test conditions, the usual Jiles-Atherton parameter identification procedure can not be performed. Regarding state of the art, the Jiles-Atherton parameter identification is discussed. It is highlighted that an uncomplete hysteresis cycle, including extremum point and coercive field are mandatory for an accurate parameter identification. The proposed identification process is applied to a real application case. The obtained parameters are then inserted into the overall system model. The consecutive simulations are compared to experimental data obtained through traction chain test bench.

Mots clés: Power transformer simulation; Parameters identification; Hysteresis cycle; Traction chain

Domaines: Modélisation et simulation; Electronique

Saba Amirdehi, Baptiste Trajin, Paul-Etienne Vidal, Johana Vally, Didier Colin. Power transformer model in railway applications based on bond graph and parameter identification. IEEE Transactions on Transportation Electrification, 2020, pp.0. ⟨10.1109/TTE.2020.2979598⟩. ⟨hal-02872143⟩