Multilevel converters are used to improve the traction converter of modern electric vehicles (EV). Such topologies can be applied even to low-power converter such as dc-dc auxiliary converters, to improve the EV overall efficiency. The low voltage rating of auxiliary circuits implies the usage of low-cost hardware both for power as well for control platforms. A cost-effective explicit model predictive control (eMPC) is designed for a three-level neutral point clamped step-down dc-dc auxiliary converter and compared to an eMPC for a two-level solution. Both eMPCs are compared to a classical PI-type voltage control.

Voltage control comparison for low-power DC-DC converters in EVs: PI and explicit MPC

Rossi M.;Piegari L.;Castelli-Dezza F.;Mauri M.;Carmeli M. S.
2018-01-01

Abstract

Multilevel converters are used to improve the traction converter of modern electric vehicles (EV). Such topologies can be applied even to low-power converter such as dc-dc auxiliary converters, to improve the EV overall efficiency. The low voltage rating of auxiliary circuits implies the usage of low-cost hardware both for power as well for control platforms. A cost-effective explicit model predictive control (eMPC) is designed for a three-level neutral point clamped step-down dc-dc auxiliary converter and compared to an eMPC for a two-level solution. Both eMPCs are compared to a classical PI-type voltage control.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
978-1-5090-6684-1
DC-DC converter; Electric vehicles; Explicit model predictive control; Multilevel converter, elettrici
File in questo prodotto:
File Dimensione Formato  
IECON2018.pdf

Accesso riservato

Descrizione: paper
: Publisher’s version
Dimensione 6.78 MB
Formato Adobe PDF
6.78 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1101350
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact