In the example below, a large, national wireline carrier,
was actively monitoring their batteries. The monitoring
uncovered a steep drop in the rested OCV of the battery,
and predicted that it would fail in a matter of months.
Figure 1: The black X represents the point at which the failing
battery was detected and the customer was alerted. The red X
represents when the battery was replaced.
The battery’s path to failure—steep initial decline,
slight rebound of OCV, followed by a slow decline
toward failure—is a common sequence that highlights
the unpredictability in battery measurements. Without
the trended data a single manual test during the stages
of failure may not have induced a technician to replace
the battery. With the data, the pattern is obvious. A weak
battery like this could have robbed the string of about
75 percent of its backup capacity, so limiting the time to
replacement is critical.
Improving the Outlook for Backup Power
The importance of backup power in telecom is growing.
DC power plants have been neglected, but new
technology means this can finally change. Carriers can
soon bring a higher level of reliability and resiliency
to their networks than was previously possible. No
more missed failed batteries, no more surprises when
batteries fail to hold the networking equipment up
during an outage. Carriers should have remote visibility
into the health of these assets. Instead of blindly hoping
for the best with their backup batteries or struggling
with manual maintenance, carriers should embrace
automation and big data to make sure our connected
futures stay connected all the time.ECN