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Analysis and development of a Battery Management System algorithm for a retrofit kit

Alessio Chierchia

Analysis and development of a Battery Management System algorithm for a retrofit kit.

Rel. Marco Vacca. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2023

Abstract:

An internal combustion engine car can be converted into a fully electric one using a retrofit kit. This thesis study intends to advance the development of a unique algorithm for a vehicle control unit that is a component of a retrofit kit for vintage automobiles. The development of the battery management system's (BMS) features is specifically discussed. The algorithm is tested in accordance with the model-based design methodology while being developed in the LabVIEW environment. In the first section, the requirement analysis of the BMS algorithm is carried out and its first implementation is proposed. The functionality that have been developed include organizing battery management through a state machine, managing contactors, dealing with faults, controlling charging, taking care of overcharge and over discharge for the protections of cells and handling a current limiter for safety. After that, a cell model is created using the data that are available, and it is utilized in the algorithm's model-in-the-loop testing phase to show the correct operation of BMS logics.

Relators: Marco Vacca
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 100
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
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: eXaV srl
URI: http://webthesis.biblio.polito.it/id/eprint/28521
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