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Area Engineering
Battery Management System (BMS) with study of SOH (State of the Health) and SOC (State of Charge) of batteries for electric cars.
keywords BMSS, SOH, SOC, LIPO BATTERIES, ELECTRICAL CARS
Reference persons EROS GIAN ALESSANDRO PASERO, VINCENZO RANDAZZO
External reference persons referente aziendale: La tesi viene fatta in collaborazione con un'azienda
Research Groups Neuronics (Artificial Neural Networks)
Thesis type APPLIED, EXPERIMENTAL
Description
This thesis is the continuation of a series of theses carried out with the most important companies in the sector. Find news on recently completed theses in
https://neuronica.polito.it/reti-neurali-artificiali-per-lo-studio-della-vita-residua-delle-batterie-al-litio-per-veicoli-elettrici/
two large companies want to continue this work with us. measurements of battery parameters and artificial neural networks will be used for this study which involves the involvement of multiple people.
Required skills
passion for the thesis work. if you have skills in neural networks and batteries it can be useful. otherwise we will provide all the material
Deadline 01/02/2025
PROPONI LA TUA CANDIDATURA