Development of a fuzzy control technique for power-split hybrid electric vehicle with applications on UDDS and BCCDC driving cycles.

Autor: Najem, Haider S., Ali, Abdulbaki K., Munahi, Basil S.
Předmět:
Zdroj: AIP Conference Proceedings; 2021, Vol. 2404 Issue 1, p1-12, 12p
Abstrakt: This paper focuses on the development of an efficient modern control technique for the power split hybrid electric vehicles (PSHEV). This technique depends on a fuzzy logic which is used to obtain the optimum torque management between an internal combustion engine (ICE) and an electric motor (EM). Also, normal and sport driving modes are developed based on the driver habits. The aim of this study is achieved by the development of a PSHEV model in Matlab/Simulink. This model consists of an ICE, DC generator and a DC motor. All power components are connected through a power split unit. In addition, a modified configuration of a continuously variable transmission (CVT) is presented and used to push the engine works near its optimal performance torque. Finally, the controller is tested over two different driving cycles including (UDDS) and (BCCDC). The simulation results showed that the effectiveness of the control system is to keep the battery state of charge (SOC) within the target limit, also control the (ICE's) operating points within the optimum efficiency maps and exploiting the DC generator machine for capturing the maximum braking power. The use of fuzzy logic as controller in PSHEV gives more reliability as compared to the conventional controller. This approved when the conventional controller needs more modification and changing to transform from one mode to another but fuzzy controller needs only changing the input values to transform from one driving mode to another. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index