 Open Access
 Total Downloads : 17
 Authors : Aisha Jangid, Shraddha Kabra, Kirti Pathak,
 Paper ID : IJERTCONV2IS03046
 Volume & Issue : ETRASCT – 2014 (Volume 2 – Issue 03)
 Published (First Online): 30072018
 ISSN (Online) : 22780181
 Publisher Name : IJERT
 License: This work is licensed under a Creative Commons Attribution 4.0 International License
COMPARITIVE STUDY on MODELLING of TRANSISTOR: BJT
COMPARITIVE STUDY ON MODELLING OF TRANSISTOR: BJT
Aisha Jangid
Student, aishajangid@gmail.com,
M.B.M. Engineering College, Jodhpur
Shraddha Kabra
Student, shraddha.co.in@gmail.com,
K. J. Somaiya College of Engineering, Mumbai
Kirti Pathak, Student,kirtipathakgpcjdr@gmail.com,
M.B.M. Engineering college, Jodhpur
Abstract: The paper includes the comparison and study of different models being employed on bipolar junction transistor. The Ebers Moll transistor model is an attempt to create an electrical model of the device as two diodes whose currents are determined by the normal diode law but with additional transfer ratios to quantify the interdependency of the junctions This document presents the definition of the CMC world standard model Mextram, for vertical bipolar transistors. The goal of this document is to present the full definition of the model, including the parameter set, the equivalent circuit and all the equations for currents, charges and noise sources. Apart from the definition also an introduction into the physical background is given[9]. We have given also a very basic parameter extraction procedure. Both the background and the parameter extraction are documented separately in dedicated documents. The transition from Mextram 503 to Mextram 504 is described, to enable the translation of a 503 parameterset to a 504 parameter set. At last we have given some numerical examples that can act as a test of implementation. It should be mentioned that the GummelPoon model itself covers only the internal part of a realtransistor. Therefore, onwafer parasitic like a parasitic pnp transistor are not covered. Also, packaging parasitics and other nonideal effects are not part of the model. However, they can be added by using a subcircuit rather than just the standalone model.
.
Keywords:Ebersmoll,Gummel Poon,Mextram,Cutoff,Saturation,Active,reverse

Modeling of a transistor begins with solving the basic device equations for carrier transport in semiconductors. For an accurate solution, the equations can be solved numerically using a computer with donor and acceptor profiles and appropriate boundary conditions as the input data. The numerical solutions not only predict the terminal behavior, but also describe the electronhole distribution in the device, and thus provide a detailed study of the device behavior. These solutions though accurate, require a large amount of computational time. For this reason, analytical expressions for the solutions of the device equations have been derived using different approximations
.Here the models included are EbersMoll model,the charge control model,and the integral charge control model proposed by Gummel and Poon.The Ebers moll model is the simple model for intrinsic transistors. PN junction theory,continuity equation are basis of this theory. The Mextram model is a physical device model and defining model equations are derived directly from the device physics.Such Physical models offer forecasting capabilities, allowing geometrical scaling rules to be applied.Gummel poon includes the effect of dc bias on current and optical gains

OPERATING MODES OF THE BIPOLAR TRANSISTOR
There are four operating modes of a bipolar transistor as illustrated in figure 1. The saturation region, for example, the region vCE<0.3V in the DC output characteristics, is described by the ohmic resistors[6]. The DC and AC extraction procedures that are proposed in this manual cover mainly the forward region. Since the model is symmetrical, the reverse parameters can be extracted following the same ideas, but applied to the reverse measurements.
Fig.1: operating modes of a bipolar npn transistor

EBER MOLLS MODEL
The bipolar junction transistor can be considered essentially as two pn junctions placed backtoback, with the base ptype region being common to both diodes[7]. This can be viewed as two diodes having a common third terminal as shown in Fig. 2.1.
Fig.2
However, the two diodes are not in isolation, but are interdependent.This means that the total current flowing in each diode is influenced by the conditions prevailing in the other. In isolation, the two junctions would be characterized by the normal Diode Equation with a suitable notation used to differentiate between the two junctions as can be seen in Fig. 2.2. When the two junctions are combined, however, to form a transistor, the base region is shared internally by both diodes even though there is an external connection to it. As seen previously, in the forward active mode, aF of the emitter current reaches the collector. This means that aF of the diode current passing through the baseemitter junction contributes to the current flowing through the basecollector junction. Typically, aF has a value of between 0.98 and 0.99. This is shown as the forward component of current as it applies to the normal forward active mode of operation of the device. Note this current is shown as a conventional current in Fig. 2.2. It is equally possible to reverse the biases on the junctions to operate the transistor in the reverse active mode. In this case, aR times the collector current will contribute to the emitter current. For the doping ratios normally used the transistor will be much less efficient in the reverse mode and aR would typically be in the range 0.1 to 0.5.
a.EbersMoll Equations
The EbersMoll transistor model is an attempt to create an electrical model of the device as two diodes whose currents are determined by the normal diode law but with additional transfer ratios to quantify the interdependency of the junctions as shown in Fig.
2.3. Two dependent current sources are used to indicate the interaction of the junctions.The interdependency is quantified by the forward and reverse transfer ratios, aF and aR. The diode currents are given as[5]:
Applying Kirchoffs laws to the model gives the terminal currents as:
This gives:
Fig. 3 The EbersMoll Model of an npn Bipolar Junction Transistor
These are called the EbersMoll Equations for the bipolar transistor(see Fig. 2.3).

GUMMEL POON MODEL
The GummelPoon model is a compact model for bipolar junction transistors (BJT) which also takes into account effects of low currents and at highlevel
injection[12]. A GummelPoon model for abrupt, single heterojunction Npn bipolar phototransistors is described including the effects of the dc base bias on the current and optical gains. Initially, the excess electron concentration at the emitter end of the quasi neutral base is determined by matching the thermionic eld emission across the emitterbase heterojunction with the diffusion current at the emitter end of the base and including the effects of optical generation. The result is used in determining the electron prole in the base from which the base charge and the electron component to the emitter and collector currents are calculated following the GummelPoon model. The photocurrents components due to optical absorption in the quasineutral base, the basecollector space charge region, and the collector region are determined taking into account the nonuniform optical generation assuming topside illumination. A comprehensive description of the recombination current components is incorporated including the effects of optical absorption on recombination. The model is then used to calculate the dc and small signal current gain and the devices optical gain, and to examine the effects of dc biasing and the otical power level[8].The structure of the model is derived from the transport model (figure below)
Fig.5 Equivalent circuit of the Gummel Poon model.
The model distinguishes four operating regions. The base and collector current as they are implemented in SPICE are as follows.

Normal Active Region:
and
Ic = (3.1)
(3.2)
Fig.4 Transport model of Gummel Poon

Inverse Region: and
The GummelPoon model is a compact model for bipolar junction transistors (BJT) which also takes into account effects of low currents and at highlevel injection. Fig
.shows the equivalent circuit of the Gummel Poon model.
.
Ic =
(3.3)
Ic =
b. Saturated Region:
and
d. off region: and
Ic = (3.7)
(3.8)
In these equations Gmin is the minimum conductance which is automatically switched in parallel to each pnjunction.


MEXTRAM MODEL
Mextram is an advanced compact model for the description of bipolar transistors. It contains many features that the widelyused GummelPoon model lacks. Mextram can be used for advanced processes like doublepoly or even SiGe transistors, for high voltage power devices, and even for uncommon situations like lateral NPNtransistors in LDMOS technology. Mextram level 503 has been put in the
public domain [1] by Koninklijke Philips Electronics
(34)N.V. in 1994. Since the model update of 1995 it had
(3.5)
been unchanged[13]. A successor, Mextram level 504, was developed in the late nineties of the 20th century for several reasons,the main ones being the need for even better description of transistor characteristics and the need for an easier parameter extraction. In the fall of 2004, Mextram was elected as a world standard transistor model by the Compact Model Council (CMC), a consortium of representatives from over 20 major semiconductor manufacturers.The goal of this document is to give the model definition of Mextram 504. Since especially section 4 is also meant as an implementation guide, the structure of our presentation will be more along the lines of implemented code than structured in a didactical way. But we have also added an introduction of the physics behind the model and an introduction to the parameter extraction. The improved description of transistor characteristics of Mextram 504 compared to Mextram 503 were achieved by changing some of the formulations of the model. For instance Mextram
504 contains the Early voltages as separate parameters, whereas in Mextram 503 they were
calculated from other parameters. This is needed for the description of SiGe processes and improves the
par(a3m.6et)er extraction (and hence the description) in
the case of normal transistors. An even more important improvement is the description of the epilayer. Although the physical description has not changed, the order in which some of the equations are used to get compact model formulations has been modified[3]. The result is a much smoother behaviour of the model characteristics, i.e. the model formulations are now such that the first and higher order derivatives are better. This is important for the outputcharacteristics and cutoff frequency, but also for (lowfrequency) third order harmonic distortion. For the same reason of smoothness some other formulations, like that of the depletion capacitances, have been changed. In Mextram almost all of the parameters have a physical meaning.[4]This has been used in Mextram 503 to relate different parts of the model to each other by using the same parameters. Although this is the most physical way to go, it makes it difficult to do parameter extraction, since some parameters have an influence on more than one physical effect. Therefore we tried in Mextram 504 to remove as much of this interdependence as possible, without losing the physical basis of the model. To do this we added some extra parameters. At the same time we removed some parameters of Mextram 503 that were introduced long ago but which had a limited influence on the characteristics, and were therefore difficult to extract.

Mextram contains descriptions for the following effects[14]:

Biasdependent Early effect

Lowlevel nonideal base currents

Highinjection effects

Ohmic resistance of the epilayer

Velocity saturation effects on the resistance of the epilayer

Hard and quasisaturation (including Kirk effect)

Weak avalanche (optionally including snapback behaviour)

Charge storage effects

Split basecollector and baseemitter depletion capacitance

Substrate effects and parasitic PNP

Explicit modelling of inactive regions

Current crowding and conductivity modulation of the base resistance

First order approximation of distributed high frequency effects in the intrinsic base (high frequency current crowding and excess phaseshift)

Recombination in the base (meant for SiGe transistors)

Early effect in the case of a graded band gap (meant for SiGe transistors)

Temperature scaling
Mextram does not contain extensive geometrical or process scaling rules (only a multiplication factor to put transistors in parallel). The model is well scalable, however, especially since it contains descriptions for the various intrinsic and extrinsic regions of the transistor. Some parts of the model are optional and can be switched on or off by setting flags[1]. These are the extended modelling of reverse behaviour, the distributed highfrequency effects, and the increase of the avalanche current when the current density in the epilayer exceeds the doping level. Besides the NPN transistor also a PNP model description is available. Both threeterminal devices (discrete transistors) and fourterminal devices (IC processes which also have a substrate) can be described.
a..Physical description of the model
Mextram, as any other bipolar compact model, describes the various currents and charges that form the equivalent circuit, given in Fig. 1 on page 32. In tables 1 and 2 we have given a list of the currents and charges of this equivalent circuit.We will first describe the active transistor. This is the intrinsic part of the transistor, which is also modelled by the GummelPoon model. Next we will discuss the extrinsic regions.
In the Mextram model the generalisation of the Moll Ross relation, better known as the integral charge control relation (ICCR), is used to take into account the influence of the depletion charges QtE and QtC and the diffusion charges QBE and QBC on the main current. The basic relation is Convergency and computation time[14]
Mextram is a more complex model than Gummel Poon. Therefore, the computing time is larger, especially when selfheating is included.[5] For the same reason the convergency will be less, although we cannot give any quantitative comparison. The computation time of Mextram 504 is comparable to that of Mextram 503. However, tests show that Mextram 504 has better convergency than Mextram
503. This is probably mainly due to improved smoothness of the model
Mextram does not contain a substrate resistance. We know that this substrate resistance can have an influence on transistor characteristics. This is mainly seen in the real part of Y22. For optimimum flexibility we did not make it a part of the model itself, because in the technology it is also not part of the transistor itself[13]. It depends very much on the layout. The layout in a final design might be different from the layout used in parameter extraction. Also complicated substrate resistance/capacitance networks are sometimes needed. Therefore we chose to let the substrate resistance not be part of the model[ 14]


Possible improvements
Mextram does not contain a reverse emitterbase breakdown mechanism, because it was not deemed relevant enough. This could be either an avalanche breakdown or, more probable, a tunnel breakdown. The forward current of the parasitic PNP transistor is modelled. Mextram, however, does not contain a full description of the reverse current of the PNP since we believe that this is not important for designers. The output conductance dIC/dVCE at the point where hard saturation starts seems to be too abrupt for high current levels, compared to measurements[1]. At present it is not possible to improve this, without losing some of the other features of the model. The clarity of the extrinsic current model describing XIex and XIsub could be improved by adding an extra node and an extra contact base resistance[7]. Since
the quality of the description does not improve, the parameter extraction would be more difficult, and the model topology would become dependent on a parameter (EXMOD) we choose not to do this.
VI CONCLUSION:
The bipolar models discussed include the EbersMoll model, GummelPoon model, MEXTRAM model.
The EbersMoll model is a simple model for the intrinsic transistor, first developed in 1954. It is based on the pnjunctions theory where the continuity equation for the narrowbase region is solved using the excess minority carrier concentrations at the edges of the neutral base as boundary conditions[5].The Mextram model is a physical device model developed for CACD purposes.The defining model equations are derived directly from the device physics,and empirical fit functionsare avoided whenever possible. Physical models offer forecasting capabilities, allowing geometrical scaling rules to be applied confidently. The parameter values used in Mextram model, including the temperature dependencies, are not simply fitted values but have physical significance. Because statistical correlation between model parameters is also determined by device physics, the physical models faciliate realistic statistical modeling , which is doubtful for empirical curvefitting models.
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