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Firmware Implementation of a Frequency Response Analyzer for Battery Spectroscopy

Sergio Andres Ortega Puente

Firmware Implementation of a Frequency Response Analyzer for Battery Spectroscopy.

Rel. Bartolomeo Montrucchio, Giovanni Guida. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021

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<< The proposal of BAT-MAN is to make significant technologic innovations (especially relative to the techniques of estimation and diagnostics), realizing at the same time a product idea (realizing a prototype) that, on one hand can offer immediate and large-scale feedback on the solutions developed, and on the other can act as a forerunner to a series of applications based on the same technologies, either in areas closely related to accumulation systems, or in areas where advanced diagnostic and estimation techniques can bring a significant added value. >> [1] This thesis takes a step further in the development process of the industrial project BAT-MAN (Battery Management Device). Here, a new approach is taken to develop the firmware and software architecture using basic software to achieve a communication between the microcontroller abstraction layer and the application. BAT-MAN is a technology that provides State of Health estimation of a generic storage system (battery), on-line and real-time. This study uses the CC2640R2F development board from Texas Instruments for running the developed firmware. An ADC channel reads periodically an external input signal. Read values represent the voltages in the time domain. Those values are then transformed into the frequency domain for the computation of the Power Spectrum. Lastly Standard Bluetooth Low Energy is used to transmit periodically the power spectrum of the signal to a mobile application for an easy visualization of the results. It is concluded that, with the setup used, it is possible to study the spectral density of a signal and obtain relevant information required to apply electrochemical impedance spectroscopy techniques as the center of the BAT-MAN project for battery SoC and SoH estimation.

Relators: Bartolomeo Montrucchio, Giovanni Guida
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 88
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: Brain technologies
URI: http://webthesis.biblio.polito.it/id/eprint/19204
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