Motor Control of Pure Electric Vehicle Based on BP Fuzzy Neural Network Control

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Motor Control of Pure Electric Vehicle Based on BP Fuzzy Neural Network Control

Journal Title: 河南科技大学学报（自然科学版） - Year 2016, Vol 37, Issue 4

Abstract

A proportional integral( PI) controller was designed based on back propagation( BP) fuzzy neural network to solve the problem that traditional PI control could not reach good control effect of the motor. Driver operation was connected with motor drive. The simulation model of drive system of pure electric vehicle was established based on MATLAB / simulink. The test was carried on vehicle inertia simulation bench. The simulation and experimental results show that pure electric vehicle objective speed can meet the requirement and the speed deviation is less than 2 km / h when controlled by BP fuzzy neural network in economic commission of Europe urban conditions.

Authors and Affiliations

Liao CHEN, Meng DING, Chaofeng PAN

Keywords

pure electric vehicle; motor control; neural network; control strategy; driving cycle test;

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EP ID EP469119
DOI 10.15926/j.cnki.issn1672-6871.2016.04.007
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