A Fuzzy-Based Supervisory Controller Development for a Series Hydraulic Hybrid Vehicle

Abstract

This paper presents a fuzzy-based control strategy for a 3.5- ton series hydraulic hybrid truck in term of improving fuel economy. In this work, the vehicle speed demand is considered as the input of the fuzzy logic controller. The output of the controller is the reference value of the accumulator pressure. A PID controller will be used to regulate the accumulator pressure by adjusting the power of the engine. With the flexibility characteristic of the fuzzy logic controllers, its membership function can be further modified to achieve smoother control surface. The effectiveness of the proposed controller is evaluated under different driving condition. The performance of the system is acceptable in comparison with other rule-based control strategies.