Thesis etd-10292020-105500 |
Link copiato negli appunti
Thesis type
Tesi di laurea magistrale
Author
MANCINO, ANDREA
URN
etd-10292020-105500
Thesis title
Implementazione e validazione di un algoritmo model-based per la stima dello stato di batterie agli ioni di litio
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA ELETTRONICA
Supervisors
relatore Prof. Baronti, Federico
correlatore Ing. Di Rienzo, Roberto
correlatore Ing. Di Rienzo, Roberto
Keywords
- Battery Management System
- Cholesky decomposition
- Coulomb Counting
- Electic Circuit Model
- Least Squares method
- Moving Window Least Squares
- Online parameter identification
- Open Circuit Voltage Method
- SOC estimaton
Graduation session start date
20/11/2020
Availability
None
Summary
The thesis concerns the implementation in firmware of an algorithm for the estimation of the state of charge (SoC), through the online parameter identification, of lithium ion batteries. The firmware is implemented on the NXP's LPC1754 microcontroller.
At the beginning the estimation algorithm has been implemented on NXP Semiconductors LPC1769 OM13085 micro. The programming language used is C and the IDE is LPCxpresso v.8.2.2.
An HiL platform provided in Simulink is used to validate the goodness of the state and parameter estimation through the comparisons of the results and to provide the inputs to the microcontroller. A virtual communication (VCOM) is implemented between the micro and the platform to exchange results and inputs for the algorithm.
Then the algorithm has been integrated into the firmware of a real BMS and tested on a 12 cells (5Ah) battery pack.
At the beginning the estimation algorithm has been implemented on NXP Semiconductors LPC1769 OM13085 micro. The programming language used is C and the IDE is LPCxpresso v.8.2.2.
An HiL platform provided in Simulink is used to validate the goodness of the state and parameter estimation through the comparisons of the results and to provide the inputs to the microcontroller. A virtual communication (VCOM) is implemented between the micro and the platform to exchange results and inputs for the algorithm.
Then the algorithm has been integrated into the firmware of a real BMS and tested on a 12 cells (5Ah) battery pack.
File
| Nome file | Dimensione |
|---|---|
Thesis not available for consultation. |
|