• Battery Management System
• SOC estimaton
• Coulomb Counting
• Open Circuit Voltage Method
• Online parameter identification
• Electic Circuit Model
• Least Squares method
• Moving Window Least Squares
• Cholesky decomposition

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.