Development of energy control system for parallel hybrid power system using dynamic equations and fuzzy theory

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 s...

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Bibliographic Details
Published inAdvances in mechanical engineering Vol. 12; no. 11
Main Authors Chen, Po-Tuan, Yang, Cheng-Jung, Huang, K David
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.11.2020
Sage Publications Ltd
SAGE Publishing
Subjects
Electric motors
Electric power systems
Emissions control
Fuzzy control
Fuzzy logic
Hybrid systems
Hybrid vehicles
Internal combustion engines
Optimization
Power management
Power sources
Power splitters
Throttles
Vehicles
fuzzy theory
optimal operation
Hybrid vehicles
parallel hybrid power system
dynamic equations
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Summary: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.
ISSN:1687-8132
1687-8140
DOI:10.1177/1687814020966927