Asee 2015 Northeast Section Conference (Abstract submission for student poster) a modified monte-carlo (power depletion simulation) method by pspice



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ASEE 2015 Northeast Section Conference (Abstract submission for student poster)


A MODIFIED MONTE-CARLO (POWER DEPLETION SIMULATION) METHOD BY PSPICE
Xuan Zhuang1, Peiqiao Wu2, Xingguo Xiong3, Prabir Patra4

Abstract - PSPICE, one member of SPICE family, is a popular commercial software applied to simulate all types of circuit in variety of applications. However, the power consumption cannot be directly simulated by PSPICE. One smart indirect approach that can evaluate the power consumption by PSPICE is called Monte-Carlo simulation. In Monte-Carlo simulation an auxiliary power testing circuit is ingeniously added in PSPICE simulation. But, there is a problem that the simulation results may give some unexpected voltage drops at the stable state and their boundaries when we simulate CMOS circuit, while power consumption should never be negative value in CMOS circuit. Base on the research the reason of unexpected results is the auxiliary power testing circuit only attaching to power source VCC. However the input signals may also contribute the extra electric energy to entire CMOS circuit, especially when the input signals are much more complex than that of a simple model in COMS circuit. Therefore, in our modified Monte-Carlo model, auxiliary power testing circuit is added to each single input source to accumulate the power consumption. As we compared and analyzed the simulation results between a common Monte-Carlo method and modified Monte-Carlo method. We find there was no more unexpected voltage drops and the result is more accurate in modified Monte-Carlo method.


Keywords:

Correspondence:



  1. Xuan Zhang: Master student in Department of Department of Electrical and Department of Computer Science, University of Bridgeport, Bridgeport, CT 06604

Address: 343 Park Avenue, Bridgeport, CT 06604

Email: xuazhang@my.bridgeport.edu Tel: 401-574-6010




  1. Peiqiao Wu: Master student in Department of Computer Science and Department of Biomedical Engineering, University of Bridgeport, Bridgeport, CT 06604

Address: 343 Park Avenue, Bridgeport, CT 06604

Email: peiqiaow@my.bridgeport.edu Tel: 781-267-9914



  1. Xingguo Xiong: Associate Professor in Department of Electrical and Computer Engineering, University of Bridgeport, Bridgeport, CT 06604

Address: 221 University Avenue, University of Bridgeport, Bridgeport, CT 06604

Email: xxiong@bridgeport.edu Tel: 203-576-4760



  1. Prabir Patra: Associate Professor in Department of Mechanical Engineering and Department of Biomedical Engineering (Director), University of Bridgeport, Bridgeport, CT 06604

Address: 221 University Avenue, University of Bridgeport, Bridgeport, CT 06604

Email: ppatra@bridgeport.edu Tel: 203-576-4165

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