Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data
Abstract:
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.
Año de publicación:
2020
Keywords:
- electric vehicle
- Target tracking
- Fuzzy controller
- Driving style
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Lógica difusa
- Aprendizaje automático
Áreas temáticas:
- Ciencias de la computación