This document details the proposals of fuzzy controllers for improving the operating characteristics in electric vehicles (EV) through driving styles from experimental data. Fuzzy controllers were designed for following driving styles: aggressive, moderate and conservative; in order to improve the performance and comfort of the EV. For the acquisition of data, urban and extra-urban routes are used from the vehicle ECU through the On Board Diagnostics (OBD) II port. MATLAB simulations support the results obtained, indicating the performance of the proposed controllers, improving the performance and comfort of the EV, according to the selected driving style. Finally, statistical analysis is presented to quantitatively compare the results of the original and controlled signals.
|Title of host publication||Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Feb 2020|
|Event||21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina|
Duration: 26 Feb 2020 → 28 Feb 2020
|Name||Proceedings of the IEEE International Conference on Industrial Technology|
|Conference||21st IEEE International Conference on Industrial Technology, ICIT 2020|
|Period||26/02/20 → 28/02/20|
Bibliographical notePublisher Copyright:
© 2020 IEEE.
- Driving style
- Electric Vehicle
- Fuzzy controller
- Target tracking