Li-Ion battery management system based in fuzzy logic for improving electric vehicle autonomy

This work presents the development of a Battery Management System (BMS) focused on lithium batteries for Electric Vehicles (EV). This BMS was developed using fuzzy logic to model the methodologies for improving the autonomy and performance of the EV. For modeling the EV, the powertrain and driving cycles were used, thus reproducing the normal operation conditions for a real EV. With this model, to evaluate the Battery State Of Charge (SOC) against the time under different conditions was possible, revealing the adequate strategy for improving its performance. Then, this strategy was implemented using fuzzy logic within the proposed BMS focused in the energy autonomy optimization and the energy performance. This BMS was applied to the EV model and the results reveal that there is a significant improvement of the SOC behavior under normal driving cycles. The BMS was implemented using NI LabVIEW® and the EV model and analysis was performed using DSSim-PC.