| 基于多传感器融合的“多站融合”储能站低功耗无线电池高精度监测 |
 点此下载全文 |
| 引用本文：李炜1，魏军2，闫润珍2，苏蕊2，顾冰凌1.基于多传感器融合的“多站融合”储能站低功耗无线电池高精度监测[J].计算技术与自动化,2025,(4):190-194 |
| 摘要点击次数: 9 |
| 全文下载次数: 2 |
|
|
| 中文摘要:以提升储能站无线电池的监测精度为研究目标，提出了基于多传感器融合的“多站融合”储能站低功耗无线电池高精度监测方法。基于多传感器采集储能站低功耗无线电池监测信号，并利用卡尔曼滤波改进小波阈值算法，对去噪后的传感器输出信号展开状态估计。结合自适应加权算法融合多传感器监测结果，通过粒子滤波算法实现储能站低功耗无线电池高精度监测。实验结果显示，该方法的放电剩余电量监测误差和充电容量监测误差均较低，监测响应时间低于0.5 ms，可以实现高精度监测。 |
| 中文关键词:多传感器融合 无线电池 高精度监测 |
| |
| “Multi Site Fusion” Energy Storage Station Low Power Wireless Battery High Precision Monitoring Based on Multi Sensor Fusion |
|
|
| Abstract:In order to improve the monitoring accuracy of wireless batteries in energy storage stations, a high-precision monitoring method of low-power wireless batteries in energy storage stations based on multi-sensor fusion is proposed. Based on the multi-sensor acquisition of low-power wireless battery monitoring signals of energy storage station, and using Kalman filter to improve wavelet threshold algorithm, the state estimation of denoised sensor output signals is carried out. Combined with the adaptive weighting algorithm, the multi-sensor monitoring results are fused, and the particle filter algorithm is used to realize the high-precision monitoring of low-power wireless batteries in energy storage stations. The experimental results show that the monitoring error of the residual discharge capacity and the monitoring error of the charging capacity are low, and the monitoring response time is less than 0.5 ms, which can realize high-precision monitoring. |
| keywords:multi-sensor fusion wireless battery high precision monitoring |
| 查看全文 查看/发表评论 下载pdf阅读器 |
位访问者,今日访问
次