Development of energy control system for parallel hybrid power system using dynamic equations and fuzzy theory. (November 2020)

• Record Type: Journal Article
• Authors: Chen, Po-Tuan; Yang, Cheng-Jung; Huang, K David
• Is Part Of: Advances in mechanical engineering. Volume 12:Number 11(2020)
• Publication Date: 2020-11
• Subjects: Hybrid vehicles -- dynamic equations -- fuzzy theory -- parallel hybrid power system -- optimal operation; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814020966927
• Languages: English
• ISSNs: 1687-8132

Abstract

A fuzzy control strategy is developed in this study to manage the parallel hybrid power system of internal combustion engine (ICE) and electric motor (EM) for hybrid vehicles. The rules established for the fuzzy logic are based on the conditions of vehicle pedal position, vehicle velocity, and the state of charge to control the throttle position of the ICE and the switch position of EM in low-, mid-, and high-power cruising. The optimization of the control strategy can make vehicles achieving ECE 40 driving pattern. In addition, the ICE can work in an optimal operation range, thus reducing carbon emission. The EM may provide power according to the demand, such that the torque output of the output shaft of the power split device is twice of the input of the two power sources separately.