A PSPICE macromodel for lithium-ion batteries

Gold, S.

doi:10.1109/bcaa.1997.574106

Cited by 123 publications

(66 citation statements)

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“…A 0.5μ CMOS process technology was used for the transistor models. A macro-model of the battery was generated following the model proposed by [14]. The battery capacity was scaled down to reduce the simulation time, as well as to match the scaled-down size of the VLSI circuit.…”

Section: Resultsmentioning

confidence: 99%

“…Only the lowfrequency part of the current is relevant to changing the battery efficiency [14]. Therefore, I represents the time-averaged output current of the battery.…”

Section: Battery Capacitymentioning

confidence: 99%

“…Different types of batteries are being used in a wide range of applications [6]- [14]. They can be classified into the primary batteries (non-rechargeable) and the secondary batteries (rechargeable).…”

Section: A Battery Overviewmentioning

confidence: 99%

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Battery-powered digital CMOS design

Pedram

2002

IEEE Trans. VLSI Syst.

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Section: Resultsmentioning

confidence: 99%

“…Only the lowfrequency part of the current is relevant to changing the battery efficiency [14]. Therefore, I represents the time-averaged output current of the battery.…”

Section: Battery Capacitymentioning

confidence: 99%

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Battery-powered digital CMOS design

Pedram

2002

IEEE Trans. VLSI Syst.

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“…On the other hand, macroscopic models attempt to capture the battery behavior characteristics at a high level of abstraction. Researchers have proposed a simulation model based on a PSPICE equivalent circuit [8], a discrete-time VHDL specification [3], and a Markov chain [11]. Even though these simulation-based models can predict the battery lifetime for a given load profile, they do not provide a formal cost measure that can be used by system or application designers for lifetime optimization purposes.…”

Section: Introductionmentioning

confidence: 99%

Battery lifetime prediction for energy-aware computing

Rakhmatov

Vrudhula

Wallach

2002

Proceedings of the 2002 International Symposium on Low Power Electronics and Design - ISLPED '02

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Predicting the time of full discharge of a finite-capacity energy source, such as a battery, is important for the design of portable electronic systems and applications. In this paper we present a novel analytical model of a battery that not only can be used to predict battery lifetime, but also can serve as a cost function for optimization of the energy usage in battery-powered systems. The model is physically justified, and involves only two parameters, which are easily estimated. The paper includes the results of extensive experimental evaluation of the model with respect to numerical simulations of the electrochemical cell, as well as measurements taken on a real battery. The model was tested using constant, interrupted, periodic and non-periodic discharge profiles, which were derived from standard applications run on a pocket computer.

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“…Batteries also could be modeled as an electric circuit using standard circuit elements. A spice model to represent a battery is presented in [10]. Batteries also modeled using stochastic models [21], and using electrochemical models [16].…”

Section: Batteriesmentioning

confidence: 99%