CN106339561B - A kind of method for numerical simulation of compound multijunction solar cell - Google Patents

A kind of method for numerical simulation of compound multijunction solar cell Download PDF

Info

Publication number
CN106339561B
CN106339561B CN201610802836.2A CN201610802836A CN106339561B CN 106339561 B CN106339561 B CN 106339561B CN 201610802836 A CN201610802836 A CN 201610802836A CN 106339561 B CN106339561 B CN 106339561B
Authority
CN
China
Prior art keywords
jacobian matrix
local
quantum
equation
quantum tunneling
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610802836.2A
Other languages
Chinese (zh)
Other versions
CN106339561A (en
Inventor
张玮
李欣益
陆宏波
张梦炎
陈杰
杨丞
张华辉
郑奕
张建琴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Institute of Space Power Sources
Original Assignee
Shanghai Institute of Space Power Sources
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Institute of Space Power Sources filed Critical Shanghai Institute of Space Power Sources
Priority to CN201610802836.2A priority Critical patent/CN106339561B/en
Publication of CN106339561A publication Critical patent/CN106339561A/en
Application granted granted Critical
Publication of CN106339561B publication Critical patent/CN106339561B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The invention discloses a kind of method for numerical simulation of compound multijunction solar cell, include: carrying out the generation of space lattice unit to device physics region;The optics of calculating optical layer generates rate and reflectance spectrum;The basic differential equation group of the semiconductor of carrier transport characteristic is separated into Nonlinear System of Equations;The Nonlinear System of Equations is solved, is obtained using nodal value as starting point, increment is the system of linear equations of coefficient;According in device architecture, there are heterojunction boundary non-local quantum tunneling, quantum confinement, the type of non-local interband quantum tunneling and regions, select corresponding Solving Linear method, obtain increment.The present invention can simulate containing multiple hetero-junctions, multiple interband non-local quantum tunneling minor structures, multiple embedded quantum confinement minor structures compound multijunction solar cell in the influence of the parameters to semiconductor devices electric property such as different distributions doping, semiconductor devices geometric dimension, defect kind and characteristic, quantum confinement, different type optics minor structure.

Description

A kind of method for numerical simulation of compound multijunction solar cell
Technical field
The present invention relates to compound multijunction solar cell technical fields, and in particular to a kind of compound multijunction solar cell Method for numerical simulation.
Background technique
Compound multijunction solar cell is due to being increasingly subject to research people with highest photoelectric conversion efficiency and extensive use The attention of member and engineering staff have transferred in past ten years from GaInP/GaAs/Ge tradition three-junction solar battery Tri- knot of GaInP/GaAs/InGaAs, tetra- knot of GaInP/GaAs/InGaAs/InGaAs, AlGaInP/AlGaAs/GaAs/ The structure that five knot of InGaAsP/InGaAs etc. becomes increasingly complex, the Window layer and back surface field layer of the sub- batteries of difference in these structures are past Toward having band gap width more broader than sub- battery itself, so-called hetero-junctions is formed when broad-band gap is adjacent with low bandgap material, Carrier exists usually in the form of thermionic emission when through hetero-junctions, often with quantum tunneling, four knots/five knots too Sub- inside battery in positive electricity pond there is also the hetero-junctions being made of emitter/base region, what this was often determined by quality of materials. Emitter region is typically due to than relatively thin, close to the critical thickness of quantum confinement, thus there may be quantum confinement, and quantum confinement Also can exist influences transporting for carrier.Usually with the minor structure of non-local inter-band tunneling, that is, more knot sun of tunnel-through diode connection The sub- battery of battery, with the increase of knot number, the number of tunnel-through diode is also increasing, for example four knots/five junction batteries are respectively by 3 With 4 tunnel-through diodes.
The analogy methods such as PC-1D, AFORS, AMPS of present day analog solar cell and software implementation cannot handle above-mentioned Interband non-local quantum tunneling is processed into only relevant to local electric field strength compound by three kinds of physical phenomenons, CROSSLIGHT Amount, wxAMPS joined defect auxiliary tunnelling enhancement effect, by interband non-local quantum tunneling with carrier lifetime attenuation coefficient Form show, be still Local Model without consider non-local quantum tunneling spatial correlation.Silvaco, The business softwares such as Synopsys and its implementation method use so-called non-local quantum tunneling model, however this model does not have The feature of standby tunnelling region both sides electric current conservation.Above-mentioned software analogy method does not have to be carried out according to semiconductor device structure feature Heterojunction boundary quantum tunneling, quantum confinement distribution, non-local interband quantum tunneling etc. carry out Numerical-Mode to multijunction solar cell Quasi- feature.
Summary of the invention
The purpose of the present invention is to provide a kind of method for numerical simulation of compound multijunction solar cell, can simulate containing Multiple hetero-junctions, multiple interband non-local quantum tunneling minor structures, multiple embedded quantum confinement minor structures compound more tie too Different distributions doping, semiconductor devices geometric dimension, defect kind and characteristic, quantum confinement, different type optics in positive electricity pond Influence of the parameters such as minor structure to semiconductor devices electric property.
In order to achieve the above object, the invention is realized by the following technical scheme: a kind of compound multijunction solar cell Method for numerical simulation, its main feature is that comprising the steps of:
S1, semiconductor devices physical region is carried out according to semiconductor devices geometrical characteristic and semiconductor device structure feature Space lattice unit generates;
S2, the optical signature according to each optical layer of semiconductor device structure select the optics of corresponding optical layer to generate The calculation method of rate and reflectance spectrum, and the optics that each optical layer is calculated generates rate and reflectance spectrum;
S3, carrier transport characteristic in leading compound semiconductor structure is partly led using partial differential equation discrete method Body fundamental differential group is separated into using the nodal value of the basic physical descriptor solved as the Nonlinear System of Equations of variable, non-thread Property equation group is expressed as fi({xj)=0, wherein i and j is mesh node number;
S4, the Nonlinear System of Equations is solved using default iterative solution algorithm, input node value initial guess will be non-thread Property equation group expansion, obtain using nodal value as starting point, increment is the system of linear equations of coefficient, which is expressed asIn formulaFor the Jacobian matrix of Nonlinear System of Equations, Δ x is nodal value;
S5, no heterojunction boundary non-local quantum tunneling, quantum confinement, non-local interband quantum tunneling are generated There are heterojunction boundary non-local quantum tunnels as initial coefficients matrix, and according in semiconductor device structure for Jacobian matrix It wears, quantum confinement, the type of non-local interband quantum tunneling and region, modifies Jacobian matrix, while according to final Jacobian matrix character selects corresponding Solving Linear method;
S6, according to corresponding Solving Linear method, solve the system of linear equations, obtain increment;
S7, policy update nodal value is updated using default nodal value, repeats step S4~S6, and meet nonlinear equation Group, and make entirely to iteratively solve process global convergence.
In the step S2, optical signature includes the thickness of optical layer, the material properties of optical layer and optical layer and electricity Learn the association of functional layer.
In the step S2, the optics of optical layer generates rate and the calculation method of reflectance spectrum includes:
Indicate position of the thick film in entire semiconductor device structure automatically according to film thickness;
The optical film being made of semiconductor device structure is resolved into multiple film subsystems with thick film;
Equivalent transmissivity and reflectivity are obtained using the optical method of interference thin film to each film subsystem;
According to the equivalent transmissivity and reflectivity of each film subsystem, the reflectivity and transmissivity of whole optical film system are obtained And the optics of respective layer generates rate.
In the step S3, partial differential equation discrete method is in finite volume method, finite difference calculus and FInite Element One kind.
In the step S3, the basic differential equation group of semiconductor includes: by the Poisson equation of reflection electrostatic potential, instead Reflect the quasi- Fermi potential distribution of continuity equation, reflection carrier hole of carrier electrons quasi- Fermi potential distribution continuity equation, Reflect the power-flow equation of carrier electrons assemblage temperature and reflects five Second Order Partials of power-flow equation of carrier hole assemblage temperature The equation group of differential elliptic equation composition.
In the step S4, presetting iterative solution algorithm is overall situation Newton-Raphson method.
In the step S5, include, according to heterojunction boundary band arrangement distribution selection in semiconductor device structure Jacobian matrix generating method and corresponding linear equation group calculation method, specifically:
Marking each heterojunction boundary, there are positions;
Judge that the heterojunction boundary is according to the band arrangement distributed intelligence of heterojunction boundary both sides and both sides doping type It is no that there are non-local quantum tunnelings;
If it exists, it is determined that non-local quantum tunneling generation area, and it is suitable to encoding according to mesh point coding and relating dot Sequence determines the shape information of Jacobian matrix, determines that additional association matrix stores according to the shape information of Jacobian matrix The structure of row vector and column vector executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it does not exist, S6 is thened follow the steps, line corresponding to the Jacobian matrix without non-local quantum tunneling is solved Property equation group.
In the step S5, include, according to the interband non-local quantum tunneling minor structure in semiconductor device structure point Cloth position and type selection Jacobian matrix generating method and corresponding linear equation group calculation method, specifically:
Marking each interband non-local quantum tunneling, there are positions;
According in semiconductor device structure interband non-local quantum tunneling minor structure position and type, judge interband quantum Whether tunnelling can occur;
If so, determining in non-local quantum tunneling generation area, non-local quantum tunneling energy section and energy section Both sides grid distributed intelligence, whether from high to low orientation of high energy while with low energy and discrete direction are consistent, with determination The shape information of Jacobian matrix determines additional association matrix stored row vector sum according to the shape information of Jacobian matrix The structure of column vector executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it is not, thening follow the steps S6, linear side corresponding to the Jacobian matrix without non-local quantum tunneling is solved Journey group.
In the step S5, include, according to quantum confinement minor structure be distributed selection Jacobian matrix generating method with And corresponding linear equation group calculation method, specifically:
Mark position and the type of each quantum confinement minor structure;
Quantum confinement is judged whether there is according to quantum confinement region band arrangement information;
If so, simultaneous solutionEquation and Poisson equation, the energy caused by because of quantum confinement Band distribution no longer changes, compound as modifying the corresponding of the Jacobian matrix of continuity equation caused by quantum confinement energy level Matrix element executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it is not, thening follow the steps S6, system of linear equations corresponding to the Jacobian matrix of the quantum confinement is solved.
In the step S7, presetting nodal value more new strategy includes linear search, Dog-leg search.
A kind of method for numerical simulation of compound multijunction solar cell of the present invention has the advantage that compared with prior art The present invention can be simulated containing multiple hetero-junctions, multiple interband non-local quantum tunneling minor structures, multiple embedded quantum confinement Different distributions doping, device geometries, defect kind and characteristic in the compound multijunction solar cell of structure, quantum confinement, Influence of the parameters such as different type optics minor structure to device electric property, these electric properties include that optics generates rate point Compound point caused by cloth, energy band distribution, dark-state/illumination voltage/current curve, spectral response, body fault in material and boundary defect Cloth, luminescence generated by light fluorescence Spectra of device architecture etc.;It can using thick film/film combinations membrane system interference thin film optical analog method Automatic identification film thickness simultaneously indicates, and then corresponding optics is selected to generate rate/reflectance spectrum calculation method.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the method for numerical simulation of compound multijunction solar cell of the present invention;
Fig. 2 is that optical film divides schematic diagram;
Fig. 3 is to be distributed selection Jacobian matrix generating method and corresponding linear side according to heterojunction boundary band arrangement The flow chart of journey group calculation method;
Fig. 4 A and Fig. 4 B are respectively carrier thermionic emission under different band curvatures and quantum tunneling schematic diagram, In, exist in Fig. 4 A, is not present in Fig. 4 B;
Fig. 5 is from high to low orientation of high energy while with low energy and the consistent Jacobian distribution shape of discrete direction Schematic diagram;
Fig. 6 is from high to low orientation of high energy while with the low energy Jacobian distribution shape opposite with discrete direction Schematic diagram;
Fig. 7 be according in device architecture interband non-local quantum tunneling minor structure distributing position and type select The flow chart of Jacobian matrix generating method and corresponding linear equation group calculation method;
Fig. 8 is that the small lattice point of the coding node big with coding divides the Jacobian of associated interband non-local quantum tunneling Cloth schematic shapes;
Fig. 9 is that the big lattice point of the coding node small with coding divides the Jacobian of associated interband non-local quantum tunneling Cloth schematic shapes;
Figure 10 is to be distributed selection Jacobian matrix generating method and corresponding linear equation according to quantum confinement minor structure The flow chart of group calculation method;
Figure 11 is the overall structure diagram of GaInP/GaAs Double Junction Tandem Solar Cells.
Specific embodiment
The present invention is further elaborated by the way that a preferable specific embodiment is described in detail below in conjunction with attached drawing.
As shown in Figure 1, a kind of method for numerical simulation of compound multijunction solar cell comprising the steps of:
S1, semiconductor devices physical region is carried out according to semiconductor devices geometrical characteristic and semiconductor device structure feature Space lattice unit generates.
In the present embodiment, the generation of grid cell is consistent with the grid generation method that usual semiconductor device analog uses.
S2, the optical signature according to each optical layer of semiconductor device structure select the optics of corresponding optical layer to generate The calculation method of rate and reflectance spectrum, and the optics that each optical layer is calculated generates rate and reflectance spectrum.
In embodiment, the optical signature that each optical layer is arranged is thickness, material properties (semiconductor, oxide, gold Belong to), be associated with electrical functions layers.In solar cell, some layers have exceeded the thickness that closes on of thin film optical interference, such as Ge battery in GaInP/GaAs/Ge, thickness are more than 100 microns, will if continuing to handle using interference thin film optical means Lasting oscillation is generated, preferably, in the present embodiment, using by the interference thin film optical analog of thick film/film combinations membrane system Method, the method includes the steps of indicates position of the thick film in entire device architecture automatically according to film thickness first, so The optical film being made of device architecture is resolved into multiple film subsystems with thick film afterwards, as shown in Fig. 2, to each film subsystem Equivalent transmissivity and reflectivity are obtained using the optical method of interference thin film;According to the equivalent transmissivity of each film subsystem and instead Rate is penetrated, the reflectivity of whole optical film system and the optics generation rate of transmissivity and respective layer are obtained.
S3, carrier transport characteristic in leading compound semiconductor structure is partly led using partial differential equation discrete method Body fundamental differential group is separated into using the nodal value of the basic physical descriptor solved as the Nonlinear System of Equations of variable, non-thread Property equation group is expressed as fi({xj)=0, wherein i and j is mesh node number.
The basic differential equation group of these semiconductors is usually by the Poisson equation of reflection electrostatic potential, reflection carrier electrons Continuity equation, the reflection carrier electricity of the quasi- Fermi potential distribution of continuity equation, the reflection carrier hole of quasi- Fermi potential distribution The power-flow equation of subensemble temperature and the five second order partial differential ellipse sides of power-flow equation for reflecting carrier hole assemblage temperature The equation group of Cheng Zucheng.These partial differential equation discrete methods mainly include finite volume method, finite difference calculus and FInite Element Deng.
S4, the Nonlinear System of Equations is solved using default iterative solution algorithm, input node value initial guess will be non-thread Property equation group expansion, obtain using nodal value as starting point, increment is the system of linear equations of coefficient, which is expressed asIn formulaFor the Jacobian matrix of Nonlinear System of Equations, Δ x is nodal value.
In the present embodiment, preferably, iteratively solving the Nonlinear System of Equations using overall situation Newton-Raphson method.
S5, no heterojunction boundary non-local quantum tunneling, quantum confinement, non-local interband quantum tunneling are generated There are heterojunction boundary non-local quantum tunnels as initial coefficients matrix, and according in semiconductor device structure for Jacobian matrix It wears, quantum confinement, the type of non-local interband quantum tunneling and region, modifies Jacobian matrix, while according to final Jacobian matrix character selects corresponding Solving Linear method.
Step S5 includes three steps arranged side by side, respectively step S5.1, according to hetero-junctions circle in semiconductor device structure Face band arrangement distribution selection Jacobian matrix generating method and corresponding linear equation group calculation method;Step S5.2, root According in semiconductor device structure interband non-local quantum tunneling minor structure distributing position and type selection Jacobian matrix it is raw At method and corresponding linear equation group calculation method;Step S5.3, selection Jacobian is distributed according to quantum confinement minor structure Matrix generating method and corresponding linear equation group calculation method;Wherein;
Step S5.1 includes, as shown in Figure 3:
Marking each heterojunction boundary, there are positions;
Judge that the heterojunction boundary is according to the band arrangement distributed intelligence of heterojunction boundary both sides and both sides doping type It is no that there are non-local quantum tunnelings;
If it exists, it is determined that non-local quantum tunneling generation area, and it is suitable to encoding according to mesh point coding and relating dot Sequence determines the shape information of Jacobian matrix, determines that additional association matrix stores according to the shape information of Jacobian matrix The structure of row vector and column vector executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it does not exist, S6 is thened follow the steps, line corresponding to the Jacobian matrix without non-local quantum tunneling is solved Property equation group.
Specifically, in the present embodiment, first according to the band arrangement distributed intelligence of hetero-junctions both sides and both sides doping type The heterojunction boundary is judged with the presence or absence of non-local quantum tunneling, and in the present embodiment, there are heterojunction boundary, there are quantum for confirmation The principle of tunnelling be high energy side electrostatic potential by energy band to low energy direction be bent, occur tunnelling region be high energy side energy band most Low value and low energy the heterojunction boundary boundary energy value in the maximum value and high energy of heterojunction boundary boundary energy, such as Fig. 4 A institute Show, there are quantum tunnelings, and Fig. 4 B is then not present.In the present embodiment, if from high to low row of confirmation high energy while with low energy In the case of column direction is consistent with discrete direction, distribution of the generated Jacobian matrix with shape as shown in Figure 5, and two It is a it is contrary in the case of, generated Jacobian matrix has the distribution of shape as shown in Figure 6, right in the present embodiment In heterojunction boundary non-local quantum tunneling the storage of modified Jacobian matrix added caused by tunnelling using principal matrix The method of incidence matrix, principal matrix and the discrete gained of semiconductor fundamental differential that not there is heterojunction boundary quantum tunneling That arrives is identical, and additional association matrix uses the form of undetermined length row vector, and in the present embodiment, the solution of system of linear equations is adopted It is obtained with the Gaussian elimination method of column selection pivot.
Step S5.2 includes, as shown in Figure 7:
Marking each interband non-local quantum tunneling, there are positions;
According in semiconductor device structure interband non-local quantum tunneling minor structure position and type, judge interband quantum Whether tunnelling can occur;
If so, determining in non-local quantum tunneling generation area, non-local quantum tunneling energy section and energy section Both sides grid distributed intelligence, whether from high to low orientation of high energy while with low energy and discrete direction are consistent, with determination The shape information of Jacobian matrix determines additional association matrix stored row vector sum according to the shape information of Jacobian matrix The structure of column vector executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it is not, thening follow the steps S6, linear side corresponding to the Jacobian matrix without non-local quantum tunneling is solved Journey group.
Specifically, in the present embodiment, first according in device architecture interband non-local quantum tunneling minor structure position and Type, judges whether interband quantum tunneling can occur, if so, then calculating the common energy area that non-local quantum tunneling occurs Domain simultaneously generates the discrete node space distribution information in the both sides in the energy area, and the principle according to tunnelling current conservation is non-by both sides Local derviation numerical value caused by local tunnelling current item is added in the coefficient matrix member of junction associated.According to mesh point distribution situation, Encode small lattice point has to generated Jacobian matrix is associated with as shown in figure 8, encoding big lattice with the big lattice point of coding Point with encode small lattice point to be associated with generated distribution of the Jacobian matrix with shape shown in Fig. 9.It is right in the present embodiment In interband non-local quantum tunneling the storage of modified Jacobian matrix add tunnelling institute using such as the principal matrix of step S5.1 The method of caused incidence matrix, principal matrix and the discrete institute of semiconductor fundamental differential without interband non-local quantum tunneling What is obtained is identical, and additional association matrix uses the form of undetermined length row vector, in the present embodiment, the solution of system of linear equations It is obtained using the Gaussian elimination method of column selection pivot.
Step S5.3 includes, as shown in Figure 10:
Mark position and the type of each quantum confinement minor structure;
Quantum confinement is judged whether there is according to quantum confinement region band arrangement information;
If so, simultaneous solutionEquation and Poisson equation, the energy caused by because of quantum confinement Band distribution no longer changes, compound as modifying the corresponding of the Jacobian matrix of continuity equation caused by quantum confinement energy level Matrix element executes step S6, solves system of linear equations corresponding to amendment Jacobian matrix;
If it is not, thening follow the steps S6, system of linear equations corresponding to the Jacobian matrix of the quantum confinement is solved.
Specifically, in the present embodiment, first according to the position of the quantum confinement minor structure in device architecture and type, judgement The region quantum confinement whether there is, if so, then discrete on the areaEquation generates characteristic value side Journey solves characteristic value and eigenfunction, and the Carrier Profile of quantum confinement is obtained according to the distribution of eigenfunction, and is added in On Poisson equation on the charge value of related lattice point, two equations of simultaneous solution are until because of the energy caused by quantum confinement repeatedly Band distribution no longer changes.Carrier continuity equation is solved according to usual sequence later, it is noted herein that continuity side It needs to increase compound term caused by quantum confinement energy level in corresponding parastrophic matrix member when the Jacobian matrix of journey generates.This In embodiment, the solution of system of linear equations is obtained using the Gaussian elimination method of column selection pivot.
S6, according to corresponding Solving Linear method, solve the system of linear equations, obtain increment.
S7, policy update nodal value is updated using default nodal value, repeats step S4~S6, and meet nonlinear equation Group, and make entirely to iteratively solve process global convergence.
In the present embodiment, in order to ensure entire iterative process global convergence, preferably, using include linear search, Dog-leg, which is searched for and carried out the ways such as selective limitation to the range of increment, updates nodal value, above-mentioned to ensure to be repeated several times After process, Nonlinear System of Equations is substantially met.
Specifically, as shown in figure 11, by taking GaInP/GaAs Double Junction Tandem Solar Cells as an example comprising metal layer on back 1, GaAs Buffer layer 2, AlGaAs back surface field 3, the base area GaAs 4, GaInP emitter region 5, AlInP Window layer 6, GaInP n++ doped layer 7, AlGaAs p++ doped layer 8, AlGaInP back surface field 9, the base area AlGaInP 10, GaInP emitter region 11, AlInP Window layer 12, GaAs Cap layer 13.The structure is grown on N-shaped GaAs substrate using low pressure metal organic chemical vapor deposition equipment, is existed in total 11 heterojunction boundaries.
For the device architecture, it is as follows to carry out the process that numerical simulation includes:
Step 1 generates grid cell according to each grown layer thickness and doping information, and the grid of generation has from hetero-junctions circle Face nearby intensive sparse feature at a distance, while the low intensive feature of layer of layer specific concentration that doping concentration is high.
Device architecture is first divided into basic sub- membrane system according to each layer thickness by step 2, and the device architecture is by 2-12 The sub- membrane system 2 that the sub- membrane system 1 and metal layer on back and substrate interface that layer is constituted are constituted forms, among the two by the thick film of layer 1 every It opens, calculates separately the equivalent reflective and transmission coefficient of sub- membrane system 1 and 2, the reflection of entire device architecture is generated then in conjunction with thickness 2 With transmission coefficient, and then the optics for obtaining each layer in entire device generates rate.
Step 3 uses partial differential equation discrete method by half of carrier transport characteristic in leading compound semiconductor structure Conductor fundamental differential group is separated into using the nodal value of the basic physical descriptor solved as the Nonlinear System of Equations of variable, this Step first generates the Jacobian of no heterojunction boundary non-local quantum tunneling, quantum confinement, non-local interband quantum tunneling Matrix as initial coefficients matrix, then according in device architecture there are heterojunction boundary non-local quantum tunneling, quantum confinement, Jacobian matrix is modified in the type of non-local interband quantum tunneling and region, while special according to final Jacobian matrix Sign selects corresponding Solving Linear method, and as shown in step S5.1~S5.3, step S5.1~S5.3 is to carry out parallel 's.
It is of the invention the result shows that wherein AlGaAs back surface field 3 and the base area GaAs 4, GaInP are sent out by above-mentioned numerical simulation Area 5 and AlInP Window layer 6, AlGaInP back surface field 9 and the base area AlGaInP 10, the base area AlGaInP 10 and GaInP emitter region 11 are penetrated, There are carrier non-local quantum tunnelings for 5 heterojunction boundaries between GaInP emitter region 11 and AlInP Window layer 12 etc. (such as Shown in Figure 11 black line), interband non-local quantum tunneling occur GaInP n++ doped layer 7 and AlGaAs p++ doped layer 8 it Between, in practice it has proved that tunneling characteristics directly restrict entire device performance, and faint quantum confinement is present in the base area GaAs 4 and GaInP The heterojunction boundaries near zones such as emitter region 5, GaInP emitter region 11 and AlInP Window layer 12, each there is 2-3 quantum confinement Energy level (darker regions in relevant layers in such as Figure 11), Ground State Energy pole are 6-10meV with a distance from band edge, this shows the quantum confinement Influence to carrier transport is smaller.
It is discussed in detail although the contents of the present invention have passed through above preferred embodiment, but it should be appreciated that above-mentioned Description is not considered as limitation of the present invention.After those skilled in the art have read above content, for of the invention A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (9)

1. a kind of method for numerical simulation of compound multijunction solar cell, which is characterized in that comprise the steps of:
S1, semiconductor devices physical region is subjected to space according to semiconductor devices geometrical characteristic and semiconductor device structure feature Grid cell generates;
S2, the optical signature according to each optical layer of semiconductor device structure select the optics of corresponding optical layer to generate rate And the calculation method of reflectance spectrum, and the optics that each optical layer is calculated generates rate and reflectance spectrum;
S3, using partial differential equation discrete method by leading compound semiconductor structure carrier transport characteristic it is semiconductor-based This differential equation group is separated into using the nodal value of the basic physical descriptor solved as the Nonlinear System of Equations of variable, non-linear side Journey group is expressed as f1({xj)=0, wherein i and j is mesh node number;The basic differential equation group of the semiconductor includes: by Reflect the Poisson equation of electrostatic potential, continuity equation, the reflection carrier hole of the quasi- Fermi potential distribution of reflection carrier electrons The continuity equation of quasi- Fermi potential distribution, the power-flow equation for reflecting carrier electrons assemblage temperature and reflection carrier hole assemblage Five second order partial differential elliptic-Cardinal splines of power-flow equation of temperature at equation group;The basic physical descriptor is described The physical descriptor that the basic differential equation group of semiconductor solves respectively: electrostatic potential, electron quasi-Fermi gesture, the quasi- Fermi potential in hole, electronics Assemblage temperature, hole assemblage temperature;
S4, the Nonlinear System of Equations, input node value initial guess, by non-linear side are solved using default iterative solution algorithm The expansion of journey group, obtains using nodal value as starting point, and increment is the system of linear equations of coefficient, which is expressed asIn formulaFor the Jacobian matrix of Nonlinear System of Equations, Δ x is nodal value;
S5, the Jacobian for generating no heterojunction boundary non-local quantum tunneling, quantum confinement, non-local interband quantum tunneling There are heterojunction boundary non-local quantum tunnelings, quantum as initial coefficients matrix, and according in semiconductor device structure for matrix Jacobian matrix is modified in limitation, the type of non-local interband quantum tunneling and region, while according to final Jacobian square The corresponding Solving Linear method of battle array feature selecting;
S6, according to corresponding Solving Linear method, solve the system of linear equations, obtain increment;
S7, policy update nodal value is updated using default nodal value, repeats step S4~S6, and meet Nonlinear System of Equations, and Make entirely to iteratively solve process global convergence.
2. method for numerical simulation as described in claim 1, which is characterized in that in the step S2, optical signature includes light The thickness of layer, the material properties of optical layer and optical layer are associated with electrical functions layer.
3. method for numerical simulation as described in claim 1, which is characterized in that in the step S2, the optics of optical layer is produced Raw rate and the calculation method of reflectance spectrum include:
Indicate position of the thick film in entire semiconductor device structure automatically according to film thickness;
The optical film being made of semiconductor device structure is resolved into multiple film subsystems with thick film;
Equivalent transmissivity and reflectivity are obtained using the optical method of interference thin film to each film subsystem;
According to the equivalent transmissivity and reflectivity of each film subsystem, the reflectivity of whole optical film system and transmissivity and right are obtained The optics of layer is answered to generate rate.
4. method for numerical simulation as described in claim 1, which is characterized in that in the step S3, partial differential equation are discrete Method is one of finite volume method, finite difference calculus and FInite Element.
5. method for numerical simulation as described in claim 1, which is characterized in that in the step S4, preset iterative solution and calculate Method is overall situation Newton-Raphson method.
6. method for numerical simulation as described in claim 1, which is characterized in that in the step S5, include, according to semiconductor Heterojunction boundary band arrangement distribution selection Jacobian matrix generating method and corresponding linear equation group meter in device architecture Calculation method, specifically:
Marking each heterojunction boundary, there are positions;
Judge whether the heterojunction boundary is deposited according to the band arrangement distributed intelligence of heterojunction boundary both sides and both sides doping type In non-local quantum tunneling;
If it exists, it is determined that non-local quantum tunneling generation area, and according to mesh point coding and relating dot to coded sequence, really The shape information for determining Jacobian matrix determines that additional association matrix stores row vector according to the shape information of Jacobian matrix With the structure of column vector, amendment Jacobian matrix is obtained, step S6 is executed, solves corresponding to amendment Jacobian matrix System of linear equations;
If it does not exist, S6 is thened follow the steps, linear equation corresponding to the Jacobian matrix without non-local quantum tunneling is solved Group.
7. method for numerical simulation as described in claim 1, which is characterized in that in the step S5, include, according to semiconductor Interband non-local quantum tunneling minor structure distributing position in device architecture and type selection Jacobian matrix generating method with And corresponding linear equation group calculation method, specifically:
Marking each interband non-local quantum tunneling, there are positions;
According in semiconductor device structure interband non-local quantum tunneling minor structure position and type, judge interband quantum tunneling Whether can occur;
If so, both sides in determining non-local quantum tunneling generation area, non-local quantum tunneling energy section and energy section Grid distributed intelligence, whether from high to low orientation of high energy while with low energy and discrete direction are consistent, with determination The shape information of Jacobian matrix determines additional association matrix stored row vector sum according to the shape information of Jacobian matrix The structure of column vector obtains amendment Jacobian matrix, executes step S6, solve line corresponding to amendment Jacobian matrix Property equation group;
If it is not, thening follow the steps S6, system of linear equations corresponding to the Jacobian matrix without non-local quantum tunneling is solved.
8. method for numerical simulation as described in claim 1, which is characterized in that include to be limited according to quantum in the step S5 System structure distribution selects Jacobian matrix generating method and corresponding linear equation group calculation method, specifically:
Mark position and the type of each quantum confinement minor structure;
Quantum confinement is judged whether there is according to quantum confinement region band arrangement information;
If so, simultaneous solutionEquation and Poisson equation, until because the energy band caused by quantum confinement is divided Cloth no longer changes, the compound corresponding matrix as modifying the Jacobian matrix of continuity equation caused by quantum confinement energy level Member obtains amendment Jacobian matrix, executes step S6, solve system of linear equations corresponding to amendment Jacobian matrix;
If it is not, thening follow the steps S6, system of linear equations corresponding to the Jacobian matrix of quantum confinement is solved.
9. method for numerical simulation as described in claim 1, which is characterized in that in the step S7, preset nodal value and update Strategy is searched for comprising linear search, Dog-leg.
CN201610802836.2A 2016-09-05 2016-09-05 A kind of method for numerical simulation of compound multijunction solar cell Active CN106339561B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610802836.2A CN106339561B (en) 2016-09-05 2016-09-05 A kind of method for numerical simulation of compound multijunction solar cell

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610802836.2A CN106339561B (en) 2016-09-05 2016-09-05 A kind of method for numerical simulation of compound multijunction solar cell

Publications (2)

Publication Number Publication Date
CN106339561A CN106339561A (en) 2017-01-18
CN106339561B true CN106339561B (en) 2019-11-26

Family

ID=57823842

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610802836.2A Active CN106339561B (en) 2016-09-05 2016-09-05 A kind of method for numerical simulation of compound multijunction solar cell

Country Status (1)

Country Link
CN (1) CN106339561B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109902316B (en) * 2017-12-07 2023-06-02 上海垒芯半导体科技有限公司 Sub-junction analysis method comprising complete multi-junction compound solar cell structure
CN109885934B (en) * 2019-02-21 2024-01-09 云南师范大学 Multi-junction solar cell sub-junction analysis method and device and electronic equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103226638A (en) * 2013-04-24 2013-07-31 兰州空间技术物理研究所 Estimation method for numerical simulation of distribution character of plasma generated by electric propulsor
CN103633181A (en) * 2013-11-28 2014-03-12 上海空间电源研究所 Solar battery with type-II heterojunction window layer

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103226638A (en) * 2013-04-24 2013-07-31 兰州空间技术物理研究所 Estimation method for numerical simulation of distribution character of plasma generated by electric propulsor
CN103633181A (en) * 2013-11-28 2014-03-12 上海空间电源研究所 Solar battery with type-II heterojunction window layer

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"Optimal battery control strategy for wireless sensor networks with solar energy supply";Yunjie Yang.etc;《2014 American Control Conference》;20140721;Page3559-3564 *
"晶体硅太阳电池数值模拟软件及其应用";张寅博等;《发光学报》;20120630;第33卷(第6期);第660-664页 *
"非周期半导体多层异质结中自旋极化输运性质的研究";秦莉兰;《中国优秀硕士学位论文全文数据库(电子期刊)基础科学辑》;20110930;第A005-67页 *

Also Published As

Publication number Publication date
CN106339561A (en) 2017-01-18

Similar Documents

Publication Publication Date Title
Nawaz et al. A TCAD-based modeling of GaN/InGaN/Si solar cells
Martí et al. Partial filling of a quantum dot intermediate band for solar cells
Chen et al. Optimization of the short-circuit current in an InP nanowire array solar cell through opto-electronic modeling
Mintairov et al. GaAs quantum well‐dots solar cells with spectral response extended to 1100 nm
Kirchartz High open-circuit voltages in lead-halide perovskite solar cells: experiment, theory and open questions
Courel et al. AlGaAs/GaAs superlattice solar cells
Anttu Physics and design for 20% and 25% efficiency nanowire array solar cells
Johnson et al. Observation of photon recycling in strain-balanced quantum well solar cells
Zhang et al. Photovoltaic performance of pin junction nanocone array solar cells with enhanced effective optical absorption
CN106339561B (en) A kind of method for numerical simulation of compound multijunction solar cell
Cuadra et al. Type II broken band heterostructure quantum dot to obtain a material for the intermediate band solar cell
Maryasin et al. Technological guidelines for the design of tandem III-V nanowire on Si solar cells from opto-electrical simulations
Aeberhard Photovoltaics at the mesoscale: insights from quantum-kinetic simulation
CN106339562B (en) Energy interband non-local quantum tunneling analogy method with electric current conservation property
Wu et al. Optimization of GaAs Nanowire Pin junction array solar cells by using AlGaAs/GaAs heterojunctions
Mintairov et al. InGaAs quantum well-dots based GaAs subcell with enhanced photocurrent for multijunction GaInP/GaAs/Ge solar cells
Kechiantz et al. Impact of spatial separation of type‐II GaSb quantum dots from the depletion region on the conversion efficiency limit of GaAs solar cells
Tuley et al. Lattice-matched InGaAs on InP thermophovoltaic cells
Benlekhdim et al. Efficiency improvement of single-junction InGaP solar cells by advanced photovoltaic device modeling
Lin et al. Numerical study of quantum-dot-embedded solar cells
Yadav et al. Optoelectronic modeling of all-perovskite tandem solar cells with design rules to achieve> 30% efficiency
Piralaee et al. The role of silver nanoparticles in performance of multi-quantum well double heterojunction InGaN/GaN solar cells
JP6926542B2 (en) Semiconductor laser
Benaicha et al. Simulation of double junction In0. 46Ga0. 54N/Si tandem solar cell
Robichaud et al. Ingan quantum dot superlattices as ratchet band solar cells

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant