
Design of Charging Pile Control System for Electric Vehicle Based on BP Neural Network
Author(s) -
Jialin Chen,
Zheng Zhou,
Lei Li,
Yi He,
Shiwen Zhao
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/3/032068
Subject(s) - artificial neural network , control (management) , automotive engineering , scheme (mathematics) , electric vehicle , pid controller , pile , control system , computer science , engineering , control engineering , electrical engineering , temperature control , artificial intelligence , power (physics) , physics , quantum mechanics , mathematical analysis , mathematics , algorithm
This paper presents a design scheme of charging pile control system for electric vehicle based on BP neural network and PID control. The design goal of this scheme is to design a charging pile control system for electric vehicles which is suitable for public parking lot and district parking lot. It can realize fast charging of electric vehicles, human-computer interaction with the system, calculation of consumer price and other functions.