Starting is easy
but can I steer and brake?
(BU42C)
A look at emerging technologies capable of
estimating battery reserve capacity
AC conductance testing was introduced in 1992
as a new way of measuring the cold cranking amps (CCA) of a car
battery. This non-invasive method was hailed as a major breakthrough
and, to a large degree, eliminates load testing to measure battery
performance. The test only takes a few seconds; the readings are
displayed in digital numbers and a message spells out the condition
of the battery. There are no sparks at the battery terminals and
the instrument remains cool.
But single frequency AC conductance has limitations. It does not
measure CCA according to SAE standards but offers an approximation
relating to the battery's power output capability. This relative
power figure often varies with state-of-charge and other battery
conditions. At times, a good battery fails and a faulty one passes
by error. But the most significant drawback is its inability to
read the reserve capacity (RC). Despite these shortcomings, AC conductance
has become an accepted standard for predicting battery life and
determining when to replace an old battery before it becomes a nuisance.
What
is the difference between CCA and RC?
A good battery needs high CCA and high capacity readings but these
attributes reflect differently depending on the application. A
high CCA reading assures good battery conductivity and provides
strong cranking ability. High CCA goes hand-in-hand with a low
internal battery resistance. Figure 1 compares high CCA with a
large, open tap that allows unrestricted flow.
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Figure
1: Battery with high CCA and 100% reserve capacity.
A high CCA battery can be compared to a large, open tap that
allows unrestricted flow. |
Reserve
capacity governs the amount of energy the battery can store. A
new battery is rated at a nominal capacity of 100%. As the battery
ages, the reserve capacity drops and the battery eventually needs
replacing when the reserve capacity falls below 70%. The RC reading
always refers to a fully charged battery; the state-of-charge
(SoC) should not affect the readings when measured with a rapid-tester.
A battery may provide a good CCA reading and start a car well
but be low on reserve capacity. This battery would be run down
in no time when drawing auxiliary power. Figure 2 illustrates
such a battery. The so-called 'rock content' that builds up as
the battery ages is permanent and cannot be reversed.
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Figure
2: Battery with high CCA but low reserve capacity.
The cranking on this battery is good but running on auxiliary
power will drain the battery quickly. |
Figure
3 illustrates a battery with good reserve capacity but low CCA.
This battery has a difficult task turning the starter and needs
replacing even though it could be used for low load applications.
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Figure
3: Battery with low CCA but high reserve capacity.
The low CCA of this battery provides poor cranking although
the reserve capacity is high. |
Capacity
measurements, the most comprehensive battery test
With increased demand for auxiliary power on vehicles, measuring
energy reserve is more relevant than CCA. The slogan goes: "Starting
is easy
but can I steer and brake?" Modern battery
testers must adapt to this new requirement and also include RC
measurement. European car manufacturers place heavy emphasis on
reserve capacity, while in North America CCA is still the accepted
standard to assess battery performance. Most modern battery testers
also provide state-of-charge readings (SoC).
Measuring reserve capacity is more complex than CCA. Many methods
have been tried, including multi-frequency conductance, but most
have limitations. One of the main obstacles is processing large
volumes of data received when scanning a battery with multiple
frequencies. Collecting the data is easy; making practical use
of the information is the problem. The cost of high-speed microprocessors
and processing difficulties has put the price tag on such battery
testers out of range. Put changes are coming.
Cadex Electronics has developed a method that enables the processing
of a large volume of data received through multi-model electro-chemical
impedance spectroscopy (EIS). Trademarked Spectro, the system
injects 24 excitation frequencies ranging from 20 to 2000 Hertz.
The signals are regulated at 10mV to remain within the thermal
battery voltage of lead acid. This permits stable readings for
small and large batteries. The test takes 20 seconds, during which
about 40 million transactions are completed.
Normally, EIS requires dedicated equipment and a computer to analyze
the obtained data. To permit such analyses in a hand held unit,
high-speed digital signal processing is used. In 2005, the Spectro
invention received a patent (US patent 6,778,913, Jörn Tinnemeyer).
Spectro has primarily been demonstrated on 12V lead-acid
batteries, automotive in particular. The large pool of available
car batteries provides an excellent platform to verify the technology.
The same technology can also be used on nickel and lithium-based
batteries.
On the strength of our invention, Cadex has developed a battery
rapid-tester (CA-12) for automotive batteries. One of the strongest
features of Spectro is its ability to reveal CCA, reserve
capacity and state-of-charge on a single measurement. Displaying
RC has been on the wish list of battery manufacturers and service
centers for many years. In fact, this will be the first time such
information can be obtained non-invasively with a commercial hand-held
tester. Figure 4 shows the suggested display format.
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Figure
4: Displays CCA, RC and SoC.
During the 20-second test time, the digital signal processor
completes 40 million transactions. |
The battery needs to be charged for testing. The typical test
band is 50% to 100% SoC. Early tests provide stable results over
a wide temperature range. There is good immunity to electrical
noise. Parasitic loads of up to 30A have been tried without notable
side effects. Furthermore, Spectro appears to be less sensitive
to surface charge than single frequency AC conductance and the
CCA readings are more consistent. The tester tolerates some acid
stratification but chemical additives may affect the readings.
Figure 5 illustrates the CA-12 tester.
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Figure
5: Rendering of the Cadex CA-12 battery rapid-tester.
The test results are available in most global standards. The
RC can be shown as a percentage of the nominal capacity or
in discharge time. |
Early test results on Reserve Capacity
Verifying the accuracy and repeatability of a new invention takes
much time and effort. To test Spectro, Cadex assembled a
test bed of 91 car batteries with diverse performance levels.
The preparation consisted of a fully saturated charge, followed
by a 24-hour rest period and a 25A discharge to 10.50V (1.75V/cell),
during which the reserve capacity was measured. This procedure
produced an astonishing +/-15% variation in capacity readings
across the full population. When comparing the capacity obtained
through a conventional discharge and by non-invasive means, one
must take into account the vulnerability of lead acid in producing
varied readings even when using highly accurate charges and load
banks.
Figure 6 compares the reserve capacities of 38 randomly chosen
car batteries. The black diamonds show the reserve capacity derived
through a full discharge; the purple squares represent Spectro
estimations using a generic matrix.
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Figure
6: RC comparison of 38 batteries with a generic matrix.
The black diamonds show the RC obtained with a full discharge;
the purple squares represent Spectro estimations. |
How can the RC readings be further improved? Best results are
achieved by sorting the batteries according to architecture and
CCA rating. We developed a model specific matrix and tested a
group of same-model batteries. Figure 7 shows the reserve capacity
readings derived through a conventional full discharge and Spectro.
With specific matrices, the readings approach laboratory standards
in terms of accuracy.
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Figure
7: RC comparison of 24 batteries with a model-specific matrix.
The purple squares (Spectro) followthe black diamonds
very closely. Specific matrices approach reading within laboratory
standards. |
Although the test results in Figure 6, and in particular Figure
7, look very encouraging, we need to be reminded that Spectro
is not a universal battery tester capable of measuring any battery
that comes along. It cannot be compared to a photocopier that
duplicates any document or flat object by simply pressing the
copy button. Rather, Spectro needs a battery specific matrix
as a reference. To a large extent, the quality of the matrix governs
the accuracy. The matrices are stored in the tester and need selecting
together with the Ah and/or CCA rating. We are currently making
gains in establishing generic matrices that may be used for CCA
and RC measurements.
Price is another issue. Because of added complexity and higher
parts count compared to single frequency AC conductance, the Spectro
technology will command a higher price. We are not competing directly
with currently available battery testers; rather, we offer a solution
for those needing a better technology because the present method
may be insufficient.
Summary
Technology has advanced to a point where measuring battery performance
through non-invasive means will become the acceptable standard.
Applying a full discharge for the purpose of obtaining the reserve
capacity is impractical and stresses the battery. Multi-model
electrochemical impedance spectroscopy with improved data processing
algorithms will bring this task one step closer to reality.
Multi-frequencies EIS not only makes RC estimations possible;
it also improves the CCA readings. Rather than providing a reference
numbers relating to battery conductivity, EIS can give actual
CCA equivalents. The technology also improves state-of-charge
estimations. Typical applications include verifications of battery
warranty returns, assessing the state-of-life of stationary batteries
and checking the capacity for batteries in defense and marine
applications. EIS is also an indispensable tool in examining batteries
for wheelchair, golf carts, robots, boats and forklifts.
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Created: June, 2005