基于人工神经网络的电动汽车充电桩智能调度系统研究

摘要：本文旨在研究基于人工神经网络的电动汽车充电桩智能调度系统。在综述电动汽车充电技术和人工神经网络工作原理基础上，针对电动汽车充电桩调度问题，提出了基于人工神经网络的调度算法，并设计开发了电动汽车充电桩智能调度系统。该系统采取面向对象的设计思想，将智能控制模块、用户管理模块、充电桩管理模块、数据库模块等组成整个系统，实现了充电桩的智能调度以及用户管理等功能。通过对该系统进行性能测试和分析，证明了基于人工神经网络算法的电动汽车充电桩智能调度系统的可行性和优越性。本研究对电动汽车充电桩调度的优化和智能化提供了一定的理论和实践参考，有望在未来得到进一步的推广和应用。

关键词：电动汽车充电桩，人工神经网络，智能调度，性能测试，优化技术

Abstract:This paper aims to study the intelligent scheduling system of electric vehicle charging pile based on artificial neural network. On the basis of summarizing the electric vehicle charging technology and the working principle of artificial neural network, aiming at the electric vehicle charging pile scheduling problem, the scheduling algorithm based on artificial neural network is proposed, and the intelligent scheduling system of electric vehicle charging pile is designed and developed. The system adopts the ob ject-oriented design idea, which consists of intelligent control module, user management module, charging pile management module and database module, and realizes the functions of intelligent scheduling and user management of charging pile. Through the performance test and analysis of the system, the feasibility and superiority of the intelligent scheduling system of electric vehicle charging pile based on artificial neural network algorithm are proved. This study provides some theoretical and practical references for the optimization and intellectualization of EV charging pile scheduling, and is expected to be further popularized and applied in the future.

Key words：Electric vehicle charging pile, artificial neural network, intelligent scheduling, performance testing, optimization technology

题目：基于人工神经网络的电动汽车充电桩智能调度系统研究 1

摘要： 1

1 绪论 2

1.1研究背景与意义 2

1.2研究目的和研究内容 2

1.3 国内外研究现状分析 2

2.理论基础 3

2.1电动汽车充电技术综述 3

2.2人工神经网络基本原理 3

2.3基于人工神经网络的调度技术综述 4

3.提出问题 4