Optimization Design of Fuzzy Energy Management for Plug-in Hybrid Electric Vehicles

Authors

Xiaolan Wu, 1.School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China; ;
Zhifeng Bai, 1.School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China; ;
Xiaohui Shi, 1.School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China; ;
Binggang Cao, 2.School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;;

Abstract

Abstract: Because of complex system configuration, it is difficult to find precise mathematics model of PHEV drivetrain. The fuzzy controller design depends mainly on expert’s experience and has much subjectivity. A fuzzy energy management strategy (EMS) based on particle swarm optimization (PSO) is presented. In this EMS, the fuzzy rules obtained from expert knowledge are unaltered and the PSO is used to optimize the parameters of membership functions of the fuzzy controller. The provided EMS model is built by Matlab/simulink and embedded in the Advisor software for simulation and comparative analysis. The result shows that, compared with the conventional fuzzy EMS, the fuzzy EMS based on PSO can more effectively reduce oil consumption and reduce tail gas emission.

Recommended Citation

Wu, Xiaolan; Bai, Zhifeng; Shi, Xiaohui; and Cao, Binggang (2019) "Optimization Design of Fuzzy Energy Management for Plug-in Hybrid Electric Vehicles," Journal of System Simulation: Vol. 30: Iss. 1, Article 31.
DOI: 10.16182/j.issn1004731x.joss.201801031
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/31

First Page

242

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201801031

Last Page

248

CLC

TP391.9

Recommended Citation

Wu Xiaolan, Bai Zhifeng, Shi Xiaohui, Cao Binggang. Optimization Design of Fuzzy Energy Management for Plug-in Hybrid Electric Vehicles[J]. Journal of System Simulation, 2018, 30(1): 242-248.

DOI

10.16182/j.issn1004731x.joss.201801031