Li-Ion battery management system based in fuzzy logic for improving electric vehicle autonomy
| Autor: | Davis Montenegro, D. A. Martinez, J. D. Poveda |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.product_category business.industry Powertrain 020208 electrical & electronic engineering Energy performance 02 engineering and technology Fuzzy control system Fuzzy logic Battery management systems 020901 industrial engineering & automation State of charge Electric vehicle 0202 electrical engineering electronic engineering information engineering business Simulation Energy (signal processing) |
| Zdroj: | 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA). |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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