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SIM100MLP Datasheet(PDF) 7 Page - Sensata Technologies, Inc.

Part # SIM100MLP
Description  Sendyne Isolation Monitor For Unearthed (IT) DC Power Systems
PDF  19 Pages
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Manufacturer  SENSATA [Sensata Technologies, Inc.]
Direct Link  https://www.sensata.com/
Logo SENSATA - Sensata Technologies, Inc.

SIM100MLP Datasheet(HTML) 7 Page - Sensata Technologies, Inc.

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7
Preliminary
Rev 1.1a
© 2021 Sendyne Corp
Sendyne SIM100MLP
During the transition and while SIM100 is estimating
the new isolation state, it will indicate a high level of
uncertainty, so the host ECU can ignore those transi-
tion results. Similar results were obtained when test-
ing the SIM100 on the positive side of the battery.
Thermal stability
Per UL 2231-2, the SIM100 was tested using the test
apparatus of Figure 9 at different environmental tem-
peratures. In the following illustrations the colored
dots indicate the average error at each temperature
obtained through approximately 1100 reports. The
experiments were repeated for different Y-capacitor
values (2 x 100 nF and 2 x 1 uF). The colored dots
show the average values while the greyed areas show
the spread of error in the reports indicating the max
and min error on each experiment. We illustrate the
worst case errors that occur at the smaller insertion
resistance R
F,x . As can be seen all errors are well below
the ±15% of the UL requirements.
66
25
-35
0
-20
-15
-10
-5
0
5
10
15
20
Temperature oC
Average, min & max error for R
F,N = 100 Ω/V * 500 V
66
25
-
35
0
-20
-15
-10
-5
0
5
10
15
20
Temperature OC
Average, min & max error for R
F,P = 100 Ω/V * 500 V
UL2231-2
UL2231-2
UL2231-2
UL2231-2
Figure 9: Inserted resistance estimate error at differ-
ent temperatures
Uncertainty
Along with each report the SIM100 submits an esti-
mate of the uncertainty associated with the estimates.
The uncertainty is reported as a percentage of the
estimated values and takes into consideration both the
measurement and processing uncertainties. Uncer-
tainty is derived in the interval of two standard devia-
tions (95.45% of samples) and rounded to the next
higher absolute value. For example, if the uncertainty
calculated is ±1.4 % it will be rounded to ±2%. The
SIM100 then adds to this value another ±3% to ac-
commodate for factors that cannot be calculated, such
as part values shifting over age, etc. As a result, the
uncertainty value provided is a conservative one.
An illustration of the relationship between measure-
ments distribution and uncertainties reported is
shown in Figure 10. The green vertical line shows
the actual value of the isolation resistance of the test
circuit. Its value is the parallel combination of the 250
k
Ω inserted resistance with the 2.7 MΩ resistance of
the SIM100. The red vertical line shows the average
value of SIM100 reports; the actual estimate error
is 1.8%. Uncertainty is estimated to ±2% and then
augmented by ±3% to provide the final estimate of
±5%. As can be seen in this experiment, uncertainty
provides a very conservative estimate of the reported
accuracy.
How to use the uncertainty
Uncertainties should be used in the most conservative
way to calculate worst case scenarios. If, for example,
the SIM100 reports a value of 100 k
Ω with uncertainty
of ±5%, the host should assume the worst case pos-
sibility that the actual isolation resistance is (100 – 5)
k
Ω.
Very high uncertainties
There may be instances that the SIM100 reports very
high uncertainties. This may happen when there is no
voltage present and there is a lot of noise in the IT sys-
tem or during a large and rapid transition of isolation
resistance values. During these instances, the SIM100
will flag the “High Uncertainty” bit to notify the host
that these reports may be discarded.



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