上海唐辉 发表于 2016-4-13 09:24:12

三相计量芯片

BL6522B  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 芯片简介    BL6522B是一颗高精度三相多功能电子电能计量芯片,适用于三相三线和三相四线多功能电能表应用,具有较高的性价比。    BL6522B集成了七路高精度Sigma-Delta ADC,参考电压电路等模拟电路模块,以及处理功率,有效值,能量等电参数的数字信号处理电路。能够测量三相各相及合相的总(基波和谐波)有功功率及能量、无功功率及能量、视在功率及能量;以及基波有功功率及能量、无功功率及能量;以及各相电流、电压有效值、功率因子等参数;具有电流失流监测、电流   电压峰值检测、过零检测等电能质量管理,能够充分满足三相多功能电能表的需要。    BL6522B集成一个SPI接口,方便与外部MCU之间进行计量参数以及校表参数的传递。    BL6522B集成片上温度传感器,精度可达到±1℃。    BL6522B支持全数字域的输入增益调整,有功相位可校准(±0.625℃可调),各通道增益调整,有功/无功/视在功率校准,有效值校准等。    BL6522B可以直接以脉冲形式输出DF_WATT,CF_VAR(也可以配置成CF_VA)信号,直接接到标准表进行有功及无功功率(或视在功率)误差校正。    BL6522B具有低功耗电池模式,可以在全失压的情况下以电池供电,且确保能量连续累积。    BL6522B内部采用数据流计算方式处理各种信号,在外部干扰情况下,有很好的可靠性。内部电压监测电路可以保证加电和断电时正常工作。 芯片特性
[*]高精度,3000:1的输入动态范围内有功功率非线性误差小于0.1%
[*]高稳定性,3000:1的输入动态范围内输出脉冲信号跳小于0.02%@Ib
[*]提供零线电流输入采样
[*]给出各相以及总(基波和谐波)有功、无功、视在功率(24bit,支持两种计算方式);以及基波有功、无功功率(24bit)
[*]给出各相电压、电流有效值(24bit),检测范围3000:1内相对误差小于0.1%
[*]给出各相电压、电流以及零线电流的波形采样数据(24bit)
[*]给出总(基波和谐波)有功、无功、视在能量(24bit),能量累计时间超过10分钟
[*]给出总(基波和谐波)有功、无功线周期能量
[*]给出总(基波和谐波)正向有功能量和负向有功能量
[*]给出合相以及四象限无功能量
[*]给出功率因子
[*]给出电压电流相角测量
[*]具有低功耗工作模式
[*]具有有功电能和无功电能的快速脉冲输出
[*]具有电压失压和断相检测功能
[*]具有电流失流检测功能
[*]具有电流电压峰值检测、过零检测功能
[*]可编程防潜动阀值设置
[*]可编程调整脉冲输出的频率
[*]可编程有功、无功、视在功率误差及增益调整
[*]可按照需要给出中断请求信号,方便与外部MCU的控制
[*]可编程输入有功相位补偿,支持分段补偿,相位补偿分辨率可达到0.005度
[*]集成片上温度传感器,测量精度可达到±1℃
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查看完整版本: 三相计量芯片