Circuit Solver

The circuit solver takes circuit netlists in spice format and performs desired set of simulations.

Salient Features

Supports non-linear circuit solver,
Parameterized electronic components
Allows user-defined parameters and math functions
Python scripting enables parameters editing, results post-processing, use of Python-specific data-processing and optimization libraries.
Users can create functional and behavioural models in Python
Coupled electro-thermal solver enabled in DC, AC, and transient

Supported component, analyses and Parametrization

Linear components - R, L, C, and mutual-inductance,
Voltage- and current-controlled switches,
Lossless and lossy transmission lines, RC network,
Non-linear components - Diode, JFET, MOSFET, MESFET, and BJT,
AC, DC, and transient I/V sources,
Dependent sources - VCVS, CCVS, VCCS, CCCS,
Subcircuits - can be parametrized and math functions can be defined,
Heat generation - enabled in passive components,
Heat conduction - use thermal "R" and "C"

Collaboration

We are open to collaborating with the users to add customized non-linear components.

Circuit Draw - A user-friendly GUI for --

Circuit drawing
Setting analyses and simulations
Results visualization
Circuit optimization.

User-manual and examples

Equations corresponding to each of the components
Parameters of various components and their usage
Various analyses and default parameters
Python interface and various functions therein.

Functional compact models

Functional modeling interface: A quick way of modeling functionality of a digital chip (e.g. drivers, signal-processors) in the analog circuit.

An example code (without all the functions) looks as follows:

class SimpleDriver (cs.functionalmodel): 
def updateOutputPinVoltages (self, isOutputPin, inputV, time):
return outV

For detailed description, please refer to the user-guide and the examples therein.

Behavioural compact models

Behavioural modeling interface: Define a custom compact model of non-linear devices in Python.

An example code (without all the functions) looks as follows:

class MyDiode (cs.behaviouralmodel): 
def getDerivativesAndPinCurrents (self, inputV, time): 
return np.append (outdI, outI)

For detailed description, please refer to the user-guide and the examples therein.

Python Interface

Python-interface allows modifying model parameters, analysis, and result extraction.

An example code (without arguments) looks as follows:

import circuitsolver as cs 
p = cs.circuit() 
p.readSpiceCircuitFile(...) 
R3Now = p.getComponentParamVal(...) 
p.setComponentParamVal(...)

For detailed description, please refer to the user-guide and the examples therein.

Circuit Optimizer

Built-in circuit-optimizer: compact model calibration and performance optimization.

An example code (without arguments) looks as follows:

f = cs.optimizer(p) 
f.setOptimizationAlgorithm(...) 
f.addOptimizationParameter(...) 
f.addExperimentalDataAndPower(...) 
f.optimize()

For detailed description, please refer to the user-guide and the examples therein.

License Purchase

Please send an email to info@semivi.ch.