
Applications for Battery
Intelligence™'s fuzzy logic methodology are many fold. A list of
applications would include Telecom cellular sites, Telecom fiber optics
booster stations, 12/24/42v automotive battery systems, Defibrillators,
UPS for non-Telecom applications, Hybrid electric vehicles, Electric vehicles,
Forklift trucks, Cellular phones, PDAs, Digital cameras and Notebook/
laptop computers. As an example of the excellent opportunities that Battery
Intelligence™'s technology provides, below is outlined an analysis
of the Telecom cellular site SOH application followed by a section on
portable applications that need SOC that could be integrated into low
cost power supplies.
Telecom,
Cellular Site Application
The distributed power
for U.S. Telecom Cellular Sites requires battery backup during electrical
utility outages. The battery backup strings are composed of sealed, valve
regulated lead acid (VRLA) cells and are housed, together with the distributed
power equipment, in buried vaults or in above ground huts. In all cases,
the buildings are not staffed by personnel. A typical VRLA string of cells
for a digital cellular site has 24 cells (for a nominal voltage of 48
volts). Float VRLA battery technology has an "expected" life
of about 10 years, but significant numbers of cells fall short of this
value and can fail as early as after two years in service. When one cell
of a string fails (delivers less than 80% of its rated capacity), it fails
the whole battery string. It is very important to identify failing cells
before they become a problem and fail to provide backup during an outage.
Battery Intelligence™ Incorporated has developed Fuzzy Logic methodology
that determines state of health (SOH) to +/- 5% of float VRLA batteries
while they are still on float. This is a major attribute of the methodology.
Normally, the string has to removed from the circuit and replace by a
temporary battery string (a major undertaking) and each cell is individually
measured for cell capacity. Battery Intelligence™'s methodology
measures the impedance of cells while on float and, by Fuzzy Logic (FL),
translates this into SOH. It is planned to introduce FL SOH determination
into a growing fraction of the 250,000 Cellular Sites for reporting of
problems with float battery backup. Cellular Sites are the most critical
of battery reserve needs in Telecom power systems. In addition, it is
planned to introduce FL SOH determination into a growing fraction of the
150,000 Outside Plant locations.
Cellular
Phones
The
cellular phone market has flattened out somewhat over the last 18 months
but it is still almost certain that 400 to 500 million cellular phones
will be sold worldwide in 2002 and between 500 and 650 million will be
sold worldwide in 2003 (Semico Research Corporation Report, Spring 2002).
Customers are continuing to demand more and more features (richer applications)
and there is convergence between cellular phones and PDAs (Semico). The
upper end user is going to be concerned about battery life and will need
an accurate knowledge of battery SOC. This provides an opportunity for's
fuzzy logic approach to accurate SOC determination.
A coulomb counting
type SOC meter can be incorporated in the charging circuitry. However,
for the cellular phone application the cost of the system has to be less
than $1.00 (Microchip, Internet, June 2002). Battery Intelligence™'s
fuzzy logic methodology for accurate SOC measurement requires only a small
amount of code and will provide a basis to manufacture very low cost chargers
with accurate SOC determination. With new cellular phones entering the
market at the rate of about 500 million per year, a power supply incorporating
an accurate SOC circuit should generate substantial revenues even with
small margins. This could be an opportunity for BIITW to manufacture lower
cost devices.
Notebook/Laptop
Computers
Typically notebook
and laptop computers have coulomb counting circuitry for their SOC meters.
The cost constraints are slightly less for notebook computers than for
cellular phones. The cost should be less than $3.00, and it is likely
that the ICs will be RISC configuration (Microchip, Internet, June 2002).
With a laptop computer, and with code efficient fuzzy logic, it is possible
that an unused portion of an IC could be used to run the Battery Intelligence™
SOC fuzzy logic methodology. This possibility would give BIITW the chance
have a lower cost, accurate SOC meter that would carve out a market segment
for mid- and high-end laptop computers.
Defibrillators
In
the U.S., installation of defibrillators are becoming a requirement in
public places and on all commercial aircraft. A defibrillator is used
relatively infrequently, but when it is used, it is essential that the
unit is charged and ready to function correctly. This requires a very
reliable, accurate SOC meter. Such a meter has been successfully developed
to the "breadboard" level by Battery Intelligence™ for
a defibrillator company for their early (lead acid) units. It was so successful,
that the development is continuing to provide a SOC device for their lithium
ion batteries. Lithium ion batteries will be used in their production
units. BIITW could have interest in two respects. If market analysis reveals
a similar situation in Taiwan or China, then SOC meters could be a BIITW
product. If the U.S. defibrillator company continues to like BII's SOC
product, BIITW would be a potential fabless manufacturer of the SOC meter.
Telecommunications
Worldwide
Cellular Site battery
backup applications will be another important application. There are huge
markets in Europe, Canada and Asia. In China, households (as opposed to
mobile communications) will use Cellular Site technology. The backup technology
is similar to the U.S. technology, so without much modification, the Battery
Intelligence™ systems can be used.
Forklift
Trucks
Depending on the
size of the forklift truck, the "investment" in the propulsion
battery is between $1500 and $2250 per forklift truck. Life of a lead
acid battery depends greatly on the care and regularity of charging. The
battery needs to be recharged immediately the forklift shift is over and
the charge time and regimen has to be such that sufficient excess charge
is provided to "equalize" cell capacities in the battery but
not overcharge them. A knowledge of SOC and SOH is essential for careful
and accurate management of forklift truck batteries.
Battery
Systems for Vehicles
New
standards are being developed to implement 42 volt electrical systems
in automobiles. Some high end, luxury vehicles in Europe will have this
system installed in new cars delivered this fall. This higher voltage
is already causing problems with imbalance during charge. Recent automobile
company experience with this system has shown that it is more difficult
to maintain equal charge in all 21 cells (42 volt system) rather than
6 cells (conventional 12 volt system). It is much more important to monitor
the SOC and manage the float- like recharge of the 42 v battery. Battery
Intelligence™'s fuzzy logic based SOC methodology would be a low
cost method for managing the new system. It is envisioned that a modified
impedance method, using pulse diagnostics rather than AC imposed current,
would be the best method for automobiles. In the U.S., implementation
of the new system is still several years away. It will most likely be
phased in over several years but it is interesting to note that there
are about 16 million cars, SUVs and light trucks sold annually. Automobile
manufacturers in Japan and Korea will likely be faster than the U.S. to
adopt the new 42 v system and this will offer an opportunity for BIITW.
Both hybrid electric and electric vehicles need careful SOC and SOH of
their traction batteries. This could be another opportunity for Battery
Intelligence™'s fuzzy logic methodology.
UPS
(Other than Telecom)
Wherever there are
battery strings that are used for UPS applications, there is a big investment
in lead acid cells. The investment can be $50,000 to $100,000! A knowledge
of the SOH of such strings is essential for (1) assurance of adequate
backup protection during outages, and (2) knowledge of the likely life
of cells in the string. Organizations such as airlines, hotel chains,
utilities, nuclear stations, railroads, and some military applications
will likely have a need for a Battery Intelligence™ system similar
to (or in many cases the same as) SOHACCURATE™. These systems would
likely be GEN 2 and/or GEN 3 SOHACCURATE™ systems and therefore
would need BIITW semiconductors.
Digital
Cameras
High-end, professional
cameras will need precise SOC measurement that compensates for temperature
and age of the battery. The Battery Intelligence™ system would provide
a corrected SOC measurement for a small cost, and possibly use excess
area of an IC that is not dedicated to another process. It is unlikely,
but not impossible, that Battery Intelligence™'s SOC would be used
in low end digital cameras.
Military
There
are parallel battery monitoring requirements in the military arena. There
are UPS needs, vehicular needs, communications needs (in particular hardened
telecommunications sites), and a variety of electronics needs.
Fuel
Cells
In fuel cells, Battery
Intelligence™’s fuzzy logic methodology will determine the
SOH of a system based on impedance and other output parameters. With a
carefully characterized fuel cell, it is possible to detect changes in
humidity in fuel supply gas and correct it before permanent damage occurs
to the fuel cell. As before, the software is code efficient and the additional
logic circuitry is minimal.
Distributed
Power Generation
In
electrical power generation systems that scavenge energy from the sun,
wind or other renewable energy sources, the battery storage system will
need to have careful monitoring to assure the life of the battery is not
compromised by overly low or high states of charge. This SOC measurement
could be part of an overall energy management system.
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