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Battery Design Services - a complete solution
Find the best battery for your application by testing a
range of commercially available batteries in your application using
simulation. Battery Design uses models of commercially available cells to
build packs and can produce realistic simulations of performance over a wide
range of conditions so you can estimate how a battery will work before carrying
out expensive and time-consuming testing.
Based on your requirements, we can develop an optimal
battery design for your application. Working with you, we will simulate
the performance of a number of battery designs under your planned use
conditions. The results of the simulations will be used to make design
trade-offs and select the best battery for your specific application. Once
the optimal battery for your application is identified, the next step is
to build the battery and charging system. We can have the battery system
toll manufactured for you and verify that the battery system meets your requirements.
Our capabilities to simulate battery performance with good
fidelity allows you to quickly evaluate how real batteries will work under your
specific use conditions. Carrying out simulations provides you with
accelerated experience so that you can understand the trade-offs involved in
battery selection and have confidence in your selection.
Battery Simulation Allows Design of Better Products
More often than not, battery performance in a particular
device is still determined by testing. Testing, although time-consuming
and expensive, is necessary because the performance of a battery depends on how
the battery is used. For example, a battery will usually have less
capacity when discharged at a high rate than when discharged at a low
rate. However, advances in computer simulation of battery performance now
allow good estimates of battery performance to be made, so devices can be
designed in software. Some examples can be found in the references below.
Using battery simulation models allows better products to
be designed in less time. Battery Design Co. facilitates this process by
providing software to battery companies for creating simulation models that they in turn can provide to their
customers. Battery Design Co.'s simulation models accurately mimic the
behavior of real cells (voltage, current and temperature behavior) and simulate
a wide variety of waveforms. The simulation allows a rapid assessment of
how the battery will perform and can reduce or eliminate the need for testing.
General examples of using simulation in battery design:
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Charger Design.
a) "Electronic-network modeling of rechargeable NiCd cells and its
application to the design of battery management systems", P. Notten et
al., J. Power
Src. 77 (1999) 143-158. b)
"VHDL-AMS simulation for battery chargers" G. Overton, Electronic
Engineering, March 2001.
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Mobile Phones.
"Battery Life Estimation of Mobile Embedded Systems" D. Panigrahi
et al. in 14th Intl. Conf. on VLSI (2001).
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Digital Camera.
"Managing the Storage and Battery Resources in an Image Capture Device
(Digital Camera) using Dynamic Transcoding", S. Chandra et al., Proc.
3rd ACM Intl. Workshop on Wireless Mobile Multimedia, Aug. 2000.
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Wireless Internet.
"Energy Modeling for Wireless Internet Access", D. Panigrahi et
al., Proc. of 3G Wireless Conf., 2001.
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Portable Computers.
a) "Nonideal Battery and
Main Memory Effects on CPU Speed-Setting for Low Power", T. L. Martin and
D. P. Siewiorek, IEEE Trans. VLSI Systems, Vol. 9, No. 1, 2001.
b) "Non-ideal Battery
Properties and Low Power Operation in Wearable Computing", T. L. Martin
and D. P. Siewiorek, Proc. 3rd Intl. Symp. on Wearable Computers, pp. 101-106,
Oct. 1999.
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Photovoltaic Systems.
a) Modelling
Photovoltaic Systems Using PSPICE. L. Castaner, S. Silvestre, Wiley,
(2002).
b) "Satellite Power System
Simulation", Acta Astronautica Vol. 40, No. 1, pp. 41-49, 1997.
c) "A battery ageing model
used in stand alone PV systems", A. Cherif, M. Jraidi, A. Dhouib, J.
Power Src. 112 (2002) 49-53.
d) "Optimum battery design
for applications in photovoltaic systems - theoretical considerations",
D. U. Sauer, J. Garche, J. Power Src. 95 (2001) 130-134.
e) "On the use of
simulation in the design of embedded energy systems", J. A. Clarke et
al., Intl. Building Performance Simulation Assoc., Proceedings (1999). http://www.ibpsa.org/proceedings/bs99/papers/A-13.pdf
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Electronic Systems. a)
"Battery-Driven Design: A New Frontier in Low Power
Design", K. Lahiri et al. in Proc. 15th Intl. Conf. VLSI Design
(VLSID'02) b)
"Battery-Conscious Task Sequencing for Portable Devices Including
Voltage/Clock Scaling", D. Rakhmatov et al. DAC 2002, June
10-14, 2002 New Orleans, Louisiana, USA. c)
"Dynamic Battery State Aware Approaches for Improving Battery
Utilization", S. Park and M. Srivastava, CASES 2002, October 8-11,
2002, Grenoble, France. d)
"System Lifetime Extension by Battery Management: An Experimental
Work" D. Bruni et al., ibid. e)
"A Case Study of a System-Level Approach to Power-Aware
Computing", T. Martin et al., ACM Trans. Embedded Computing Systems,
Vol. 2, No. 3, August 2003, pp. 255-276. f)
"Energy Management for Battery-Powered Embedded Systems", D.
Rakhmatov et al., ibid. g)
"Time-to-Failure Estimation for Batteries in Portable Electronic
Systems", D. Rakhmatov et al., ISLPED'01, August 6-7, 2001, Huntington
Beach, California, USA. h)
"Battery Capacity Measurement and Analysis using Lithium Coin Cell
Battery", S. Park et al., ibid. i)
"Communication Architecture Based Power Management for Battery
Efficient System Design", K. Lahiri et al., DAC2002, June 10-14,
2002, New Orleans, Louisiana, USA. j)
"Energy-Efficient Communication Protocols", C. Chiasserini et al, ibid. h)
"Energy Efficient Battery Management", C. Chiasserini and R. Rao,
INFOCOM2000 i) "A
survey of design techniques for system-level dynamic power management",
L. Benini, A. Bogliolo, G. De Micheli, IEEE Trans. VLSI Systems, Vol. 8,
Issue 3 (June 2000) pp. 299-316. j)
"Design Considerations for Battery-Powered Electronics", M. Pedran
and Q. Wu, DAC99, New Orleans, Louisiana. k)
Battery Management Systems, Design By Modeling, H. J. Bergveld, W. S.
Kruijt and P. H. L. Notten, Kluwer Academic Publishers (2002).
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Multi-Battery Systems.
a) "Discharge
Current Steering for Battery Lifetime Optimization", L. Benini et al., ISLPED'02,
August 12-14, 2002, Monterey, CA, USA. b)
"Analysis of Discharge Techniques for Multiple Battery systems", R.
Rao et al. ISLPED'03, August 25-27, 2003, Seoul, Korea.
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Vehicles.
a) "Simulation Influence
in the Design Process of Mild Hybrid Vehicles", J. A. MacBain, SAE
Technical Paper Sereis 2002-01-1196.
b) "Modelling and
simulation of vehicle electric power system", W. Lee, D. Choi, M. Sunwoo,
J. Power Src. 109 (2002) 58-66.
c) "Battery performance
models in ADVISOR", V. H. Johnson, J. Power Src.
(2002) 1-9.
d) "System
Simulation", Q. Sterner, M. Zuber, at SABER User's Meeting, Sep. 11,
2000, Detroit, Michigan, USA.
e) "Dual Voltage
Electrical System Simulations", J. A. MacBain, J. Conover, SAE 00F55-64
(2000).
f) "High-power batteries
for use in hybrid vehicles", C. Fellner, J. Newman, J. Power Src.
85 (2000) 229-236.
g) "Design, Modeling and
Simulation of an Electric Vehicle System" I. Husain and M. S. Islam, SAE
1999-01-1149.
h) "Life-Cycle Cost
Sensitivity to Battery-Pack Voltage of an HEV", J. W. McKeever, et al.
SAE 2000-01-1556.
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