Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm

Authors

Li Yan, 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; ;
Yigang He, 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; ;2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;

Abstract

Abstract: According to the design requirements and technical index of pure electric vehicle, the parameters of motor and battery related to power and economic performance are selected based on the computing results. Based on ADVISOR, a vehicle model of pure electric vehicle is established in MATLAB environment with the corresponding parameters validating the simulation results. On this basis, the multi-objective function is established, which includes the power performance, economic performance and cost price. This function is optimized by the firefly algorithm, which makes the dynamic parameters, the dynamic performance and economy performance of pure electric vehicle be improved significantly and the cost prices be declined. The practical performance of pure electric vehicle obtains the enhancement effectively.

Recommended Citation

Yan, Li and He, Yigang (2019) "Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm," Journal of System Simulation: Vol. 31: Iss. 4, Article 24.
DOI: 10.16182/j.issn1004731x.joss.17-0105
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss4/24

First Page

795

Revised Date

2017-07-04

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0105

Last Page

801

CLC

TP391

Recommended Citation

Li Yan, He Yigang. Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm[J]. Journal of System Simulation, 2019, 31(4): 795-801.

DOI

10.16182/j.issn1004731x.joss.17-0105