电器与能效管理技术Issue(12)：69-76,8.DOI:10.16628/j.cnki.2095-8188.2024.12.012
基于Ⅴ-Ⅰ轨迹的非侵入式电动自行车充电行为在线辨识
Online Identification of Non-Invasive Electric Bicycle Charging Behavior Based on Ⅴ-Ⅰ Trajectory
摘要
Abstract
To prevent the safety hazards,the Ⅴ-Ⅰ trajectory features and improved MobileNetv2 model are used for the online identification of the household charging behavior.The experimental scenarios are designed to validate the model performance from four aspects:sampling rate selection,transfer learning,generalization,and comparison of different networks.Finally,the model is deployed to the computer and the K210 chip.The online recognition system based on the upper computer can accurately identify electric bicycles when charging separatly,and the recognition accuracy is over 98％when charging behavior is mixed with commonly used household loads.关键词
Ⅴ-Ⅰ轨迹/改进MobileNetv2模型/迁移学习/在线识别Key words
Ⅴ-Ⅰ trajectory/improved MobileNetv2 model/transfer learning/online recognition分类
信息技术与安全科学引用本文复制引用
段佳其,鲍光海,方艳东..基于Ⅴ-Ⅰ轨迹的非侵入式电动自行车充电行为在线辨识[J].电器与能效管理技术,2024,(12):69-76,8.基金项目
福建省科技计划项目(2023H0007) （2023H0007）
