首页|充电负载对电动汽车电力计量精度的影响

充电负载对电动汽车电力计量精度的影响

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目前电动汽车充电过程中电力测量准确度较低,对此研究对电动汽车充电负载特性进行分析,提出了一种结合小波变换与自适应卡尔曼滤波的电力计量模型.此外,实验还构建了电力计量评估模型对电力计量精度进行评价.实验结果显示,所提方法将电力计量的准确度提高了 0.172 3%,相对准确度提高了 68.12%.此外,该方法具有较强的抗谐波干扰性,在谐波变化的情况下可减少60.23%以上的变化量.由此,实验构建的电力计量模型具有较强的可操作性和应用潜力.
Influence of charging load on power measurement accuracy of electric vehicle
Aiming at the problem of low power metering accuracy in electric vehicle charging process,a power metering model combining wavelet transform and adaptive Kalman filter was proposed after analyzing the characteristics of electric vehicle charging load.In addition,an electric power measurement evaluation model is constructed to evaluate the accuracy of electric power measure-ment.Experimental results show that the proposed method improves the accuracy of power measurement by 0.1723%and the relative accuracy by 68.12%.In addition,the method has strong anti-harmonic interference,and can reduce the amount of harmonic change by more than 60.23%.Therefore,the electric power metering model constructed in the experiment has strong operability and applica-tion potential.

charging loadelectric power measurementwavelet transformadaptive Kalman filteringevaluation model

王嘉明、任雪娇、赵君

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陕西工业职业技术学院,陕西咸阳 712000

充电负载 电力计量 小波变换 自适应卡尔曼滤波 评估模型

陕西工业职业技术学院校级科研项目(2022)

2022YKYB-005

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(1)
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