Abstract:
The importance of energy storage continues to grow, whether in power generation, consumer
electronics, aviation, or other systems. Therefore, energy management in batteries
is becoming an increasingly crucial aspect of optimizing the overall system and must be
done properly. Very few works have been found in the literature proposing the implementation
of algorithms such as EKF to predict the SOC in small systems such as mobile
robots, where computational power in some application is severely lacking. To this end,
this work proposes an implementation of two algorithms mainly reported in the literature
for SOC estimation, in an ATMEGA328P microcontroller-based BMS, this embedded
system is designed taking into consideration the criteria already defined for such a system
and adding the aspect of flexibility and ease of implementation. One of the implemented
algorithms performs the prediction, while the other will be responsible for the monitoring.
