Edoardo Galanzino
All-wheel drive electric vehicle performance optimization: from modelling to subjective evaluation on a static simulator.
Rel. Massimiliana Carello, Alessandro Ferraris, Henrique De Carvalho Pinheiro. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2019
Abstract: |
Full electric vehicles with wheel-hub motors offer a tremendous potential in controlling each wheel individually to enhance vehicle's dynamic and energy performance. This thesis presents a novel control algorithm to handle wheels torques individually through feedforward and feedback control and through power efficiency optimization. The control algorithm has been entirely developed in Matlab and Simulink and implemented in the vehicle model through a co-simulation with VI-CarRealTime software. The model was finally tested in a real static simulator to have a subjective evaluation of the dynamic behaviour of the vehicle. |
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Relatori: | Massimiliana Carello, Alessandro Ferraris, Henrique De Carvalho Pinheiro |
Anno accademico: | 2018/19 |
Tipo di pubblicazione: | Elettronica |
Numero di pagine: | 115 |
Informazioni aggiuntive: | Tesi secretata. Fulltext non presente |
Soggetti: | |
Corso di laurea: | Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo) |
Classe di laurea: | Nuovo ordinamento > Laurea magistrale > LM-33 - INGEGNERIA MECCANICA |
Aziende collaboratrici: | NON SPECIFICATO |
URI: | http://webthesis.biblio.polito.it/id/eprint/10657 |
Modifica (riservato agli operatori) |