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HAL856UT-K 参数 Datasheet PDF下载

HAL856UT-K图片预览
型号: HAL856UT-K
PDF下载: 下载PDF文件 查看货源
内容描述: 可编程线性霍尔效应传感器与任意输出特性( 2线) [Programmable Linear Hall-Effect Sensor with Arbitrary Output Characteristic (2-Wire)]
分类和应用: 传感器
文件页数/大小: 42 页 / 954 K
品牌: MICRONAS [ MICRONAS ]
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DATA SHEET  
HAL856  
3.7. Magnetic Characteristics  
at TJ = 40 °C to +170 °C, VDD = 4.5 V to 14 V, after programming and locking of the device,  
at Recommended Operation Conditions if not otherwise specified in the column “Conditions”.  
Typical Characteristics for TJ = 25 °C and VDD = 5 V.  
For all other temperature ranges this table is also valid, but only in the junction temperature range defined by the  
temperature range (Example: For K-Type this table is limited to TJ = 40 °C to +140 °C).  
Symbol  
Parameter  
Pin No.  
Min.  
1  
Typ.  
Max.  
1
Unit  
mT  
Conditions  
B
Magnetic Offset  
Magnetic Offset Change  
3
0
0
B = 0 mT, T = 25 °C  
Offset  
J
ΔB  
Δα  
NL  
/ΔT  
15  
15  
μT/K  
B = 0 mT  
Offset  
due to T  
J
Error of Linear Temperature  
Coefficient of Magnetic Sensitivity  
400  
0
400  
ppm/K TC and TCSQ suitable for the  
application  
Integral Non-Linearity of  
Temperature Dependence of  
Sensitivity  
1
2
%
%
α < 2000 ppm/K  
α >= 2000 ppm/K  
SB(T)  
TC and TCSQ suitable for the  
application  
B
Magnetic Hysteresis  
20  
0
20  
μT  
Range = 30 mT, Filter = 500 Hz  
Hysteresis  
Definition of Sensitivity Errors over Temperature  
Micronas specifies two sensitivity errors over  
temperature:  
A ideal Hall-effect device would not be affected by  
temperature. Its temperature compensation would  
allow to compensate for a linear temperature coeffi-  
cient αIDEAL of a permanent magnet.  
1. the error of the linear temperature coefficient α:  
Δα = α α IDEAL  
SIDEAL = 1 + αIDEAL × (T T0)  
2. the maximum residual error over temperature  
resulting from the least square fit, i.e., the integral  
non-linearity of the temperature dependence of sen-  
sitivity:  
The temperature dependence of the sensitivity of a  
real sensor is not ideally linear. Its linear temperature  
coefficient α is determined by a linear least square fit.  
NLSB(T) = maxT res(T)  
SB = S0 × (1 + α × (T T0) + res(T))  
S0 and α are the fit parameters, res(T) the residual error.  
Micronas  
March 23, 2010; DSH000142_002EN  
27  
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