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Management of control procedure for occasional WPT charging in self-driving and non-self-driving electric vehicles

Mattia Zarrelli

Management of control procedure for occasional WPT charging in self-driving and non-self-driving electric vehicles.

Rel. Paolo Guglielmi, Jacopo Colussi. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021


The desire of this thesis is to highlight the technology of the Wireless Power Transfer (WPT) systems for a specific class of industrial vehicles, forklift trucks operating in a warehouse, it is important to say that the control structure that will be implemented will be suitable for many electric vehicle classes. The entire project will be devoted to the study of the wireless static and occasional charging process in order to create a functional and precise state machine able to control the entire system. The created state machine will represent the system under analysis in a more intuitive way highlighting all the main variables to control. Since the charge process is managed by two microprocessors mounted on the two main parts of the system (Transmitter side and Receiver side) the last step should be the building of the code directly generated from the final state machine. The code need to be the trace for the system control during the charge process. The introduction will be dedicated to an overview of WPT systems related to electric vehicle (EV) applications where all the elements and functionalities will be introduced (power supply, power electronics, transmission line, trasnsmitter, receiver, battery, control system and environment). Then, after the introduction part the focus will be the description of the main blocks that constitute the state machine in order to have an overview of control system functionalities. The objective is to give reasons about some choices and explain the correlation with the physical system. The aim of this state machine is to be a reference and a starting point for a robust control system that makes possible future adjustments in a more effort way. All the project will be developed using Stateflow, a Matlab\&Simulink tool very useful for the state machine creation and simulation.

Relators: Paolo Guglielmi, Jacopo Colussi
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 125
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: Enermove s.r.l.
URI: http://webthesis.biblio.polito.it/id/eprint/19138
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