Adaptive cruise control of hybrid electric vehicle using fuzzy logic based parallel coupling model

Abstract

This study presents an adaptive cruise control system designed for a full passive parallel hybrid electric vehicle in longitudinal direction. The research for autonomous vehicle technology has been set up in the previous decades in order to reduce driver's mental workload and secure a safer driving environment. By developing autonomous vehicle technology, number of acci-dents can be decreased through timely danger recognition or appropriate frontal collision avoidance. This can be achieved by noticing the driver with appropriate warning or providing supportive control to the vehicle automatically. Besides, the consideration of reducing vehicle carbon footprint and enhancing fuel economy has also been taken into account due to the scarcity of fossil fuel and growing environmental pollution caused by road vehicles. Thus, development of hybrid electric vehicle has been a promising solution to overcome these issues. In order to enhance the performance of hybrid electric vehicle, a parallel coupling model using fuzzy logic controller is pro-posed in this study. The proposed algorithm able to improve the performance of hybrid electric vehicle at various speed and road gradient with accuracy of 7-10%. The performance of hybrid electric vehicles using parallel coupling able to improve vehicle speed up to 30%.