电动汽车电池组智能管理及其无线传感器网络路由协议

JIANG Wei

您当前的位置：

首页 >

文章列表页 >

电动汽车电池组智能管理及其无线传感器网络路由协议

更新时间：2025-08-13

- 电动汽车电池组智能管理及其无线传感器网络路由协议
- Automation of Electric Power Systems Vol. 39, Issue 18, Pages: 62-58(2015)
- 作者机构：
  
  东南大学电气工程学院,江苏省,南京市,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
JIANG Wei. [J]. Automation of electric power systems, 2015, 39(18): 62-58.
DOI：

JIANG Wei. [J]. Automation of electric power systems, 2015, 39(18): 62-58. DOI：

摘要

针对电动汽车智能充换电业务中动力电池组在仓储、配送和充电等环节的信息采集和管理需求

提出了基于无线传感器网络(WSN)和射频识别(RFID)的智能电池组技术

设计了充换电业务的物联网3层架构模型。提出了含智能感知模块的智能电池组管理系统(BMS)结构设计

介绍了充换电站智能电池组全景数据采集实施方法。针对充换电站中仓储及充电位置固定的特点

重点提出了适用于智能电池组的WSN核心路由算法:一种基于虚拟网格的分簇多跳路由协议

从拓扑控制和路由算法两方面给出了协议的框架以及网络分簇、簇头选取、路由维护和数据传输的机制。利用OMNet++仿真工具对协议进行了仿真

证明了所述路由算法能够有效延长智能电池组WSN的生命周期。

Abstract

First

to meet the information acquirement and management demand of battery tank in the storage

transport and charging processes of electric vehicle charging facilities

the smart battery tank technology based on wireless sensor network (WSN) and radio frequency identification (RFID) is proposed. A three-level internet of things structure of charging and swapping service is built. Then

a battery management system (BMS) of smart battery tank with sensor modules is designed. The panoramic data acquisition of the electric vehicle charging station is described. The system key technology of the clustered-multi-hop routing protocol with virtual grids is proposed. The network formation

cluster-head selection

route maintaining and data transmission processes are detailed with respect to route control and routing algorithm. The protocol simulation with OMNet++ shows that the proposed algorithm is able to effectively prolong the life cycle of WSN of the smart battery tank. This work is supported by National Natural Science Foundation of China (No. 51407025)

State Grid Corporation of China and Jiangsu Province Science and Technology Support Program (Social Development) (No. BE2013737).

关键词

Keywords

references

Views

2581

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Review of Modeling, Solution and Application for Coordinated Operation of Power-Transportation Systems

Optimal Charging Strategies for Electric Vehicles Supporting Time-varying Demand Response Incentive Price

Review on Research of Power-Transportation Fusion: Models, Algorithms and Key Issues

Related Author

ZHANG Baokun

DENG Junjun

LIN Ni

WANG Zhenpo

GAN Haiqing

YUAN Xiaodong

MAO Meiqin

GE Xing

Related Institution

National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology

State Grid Jiangsu Electric Power Co., Ltd.

Research Center for Photovoltaic Systems Engineering of Ministry of Education, Hefei University of Technology

State Grid Anhui Electric Power Co., Ltd.

State Grid Anhui Electric Vehicle Service Co., Ltd.

⁰