CN108108573B - IGBT power module junction temperature dynamic prediction method - Google Patents

IGBT power module junction temperature dynamic prediction method Download PDF

Info

Publication number
CN108108573B
CN108108573B CN201810036617.7A CN201810036617A CN108108573B CN 108108573 B CN108108573 B CN 108108573B CN 201810036617 A CN201810036617 A CN 201810036617A CN 108108573 B CN108108573 B CN 108108573B
Authority
CN
China
Prior art keywords
igbt
fwd
loss
power module
junction temperature
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
CN201810036617.7A
Other languages
Chinese (zh)
Other versions
CN108108573A (en
Inventor
张承宁
辛欣
张硕
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.)
Beijing Institute of Technology BIT
Original Assignee
Beijing Institute of Technology BIT
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 Beijing Institute of Technology BIT filed Critical Beijing Institute of Technology BIT
Priority to CN201810036617.7A priority Critical patent/CN108108573B/en
Publication of CN108108573A publication Critical patent/CN108108573A/en
Application granted granted Critical
Publication of CN108108573B publication Critical patent/CN108108573B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Inverter Devices (AREA)

Abstract

The invention provides a junction temperature dynamic prediction method for an IGBT power module, which solves the problems of excessive derating use and unreasonable thermal design for avoiding failure caused by overhigh junction temperature and overlarge fluctuation of the IGBT power module at present. According to the running state of the motor, dynamic analysis of circuit parameters including modulation ratio, output current, output voltage, output frequency and the like is carried out, and the analysis value is input into a junction temperature calculation model considering electrothermal coupling, so that dynamic junction temperature prediction under the working condition is realized.

Description

IGBT power module junction temperature dynamic prediction method
Technical Field
The invention relates to the field of junction temperature prediction of IGBT modules, in particular to a dynamic junction temperature prediction method of an IGBT power module in a three-phase inverter system under working condition application.
Background
Due to the kHz switching frequency characteristic of the IGBT (insulated gate transistor) power module, great heat loss can be generated during operation, the temperature (junction temperature) at the PN junction of a chip is increased and fluctuated, and the module can be failed in serious cases. The existing countermeasure is to derate the IGBT module, or to match the radiator with larger mass and volume to the inversion system where the IGBT module is located to fully ensure the heat radiation. However, in the above measures, the excessive derating may reduce the application range of the power module, and the unreasonable heat dissipation design may also result in increased system weight and wasted occupied space. Therefore, accurate junction temperature prediction is of great significance in determining the safety limit of the IGBT power module, improving the application range and reliability and carrying out reasonable thermal design.
The electric field and the temperature field in the IGBT power module are mutually coupled, meanwhile, the operation conditions of related circuit parameters under different application occasions also change in real time, the influence of electrothermal coupling is usually ignored by the existing IGBT junction temperature prediction model, or the existing IGBT junction temperature prediction model can only be used for junction temperature prediction at a specific working point, and the IGBT power module still has defects in the aspect of working condition application. Therefore, the dynamic junction temperature prediction of the IGBT power module under the working condition application is necessary.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a junction temperature dynamic prediction method for an IGBT power module, which specifically comprises the following steps:
step 1, obtaining the torque and the rotating speed of the motor at a first working point according to the running state of the motor;
step 2, establishing a motor working point analytical model; and (3) inputting the torque and the rotating speed obtained in the step (1) into the established motor working point analytical model to obtain a dq axis current voltage value, and further obtaining the three-phase current voltage and the switching signal output by the inverter. Storing grid resistance of a driving end, switching frequency and DC end direct current bus voltage information;
step 3, establishing a loss calculation model of the IGBT power module; setting initial temperatures of an IGBT and an anti-parallel diode FWD in the power module, and inputting the parameters in the step 2 into the established loss calculation model to obtain loss values of the IGBT and the anti-parallel diode FWD;
step 4, establishing a thermal resistance network model of the IGBT power module; inputting the loss value obtained in the step 3 into the thermal resistance network model to obtain junction temperature corresponding to the current motor working point;
and 5, inputting the junction temperature feedback obtained in the step 4 into a loss calculation model of the IGBT power module to realize dynamic junction temperature prediction under the application of working conditions.
Further, the establishing of the motor operating point analytical model in the step 2 specifically includes:
in the case of a surface-mounted motor, the inductances of d and q axes are the same and the same as the phase inductance, so the electromagnetic torque T is the sameemIs expressed as follows
Figure GDA0003478004970000021
Wherein p is the logarithm of the pole, #fIs a permanent magnet flux linkage iqIs the q-axis current;
alternatively, a motor constant k is adoptedtAnd iqManner of representing electromagnetic torque:
Figure GDA0003478004970000022
judging whether the motor is in a non-weak magnetic region or a weak magnetic region: in the non-weak magnetic region, id is 0, and the amplitude of the output phase voltage at this time is represented as:
Figure GDA0003478004970000023
in the weak magnetic region, the amplitude of the output phase voltage is expressed as follows:
Figure GDA0003478004970000024
after id and iq are obtained, A, B, C three-phase output under the corresponding torque and rotating speed is obtained through constant amplitude transformation, wherein Park transformation is applied to the change of the dq axial alpha beta rotation coordinate system, and the conversion relation is as follows:
Figure GDA0003478004970000025
wherein θ is a phase angle;
the transformation of the α β rotating coordinate system into three-phase A, B, C is a Clark transformation, with the following transformation relationships:
Figure GDA0003478004970000026
wherein iA、iB、iCRespectively, for each phase current.
The model can realize the state analysis of circuit parameters of the module such as output voltage, current, frequency, switching signals and the like under different load working conditions.
Further, the establishing of the loss calculation model of the IGBT power module in step 3 specifically includes:
loss P of IGBT power moduleModuleThe method comprises the following steps: on-state loss P generated during IGBT operationIGBT_conAnd turn-on loss P in the transient state of the switchIGBT_onTurn-off loss PIGBT_off(ii) a On-state loss P of FWD in operationFWD_conAnd reverse recovery loss PFWD_re
PModule=PIGBT_con+PIGBT_on+PIGBT_off+PFWD_con+PFWD_re
On-state voltage drop V when IGBT and FWD are conductedCEAnd VDFrom respective threshold voltages VCEO、VDOAnd an on-resistance Rch、RdThe pressure drop generated is composed of two parts and is related to the actual temperature T, and the relation is expressed as follows0Is a reference temperature, ICAnd IDCurrent through IGBT and FWD, respectively, wherein bTM and bDAre all temperature-related terms that can be fitted by a curve.
Figure GDA0003478004970000031
VD(T)=VDO(T0)+bD·(T-T0)+Rd(T)·ID 2
Calculating to obtain the on-state loss, wherein DTAnd DDFor the duty cycle of IGBT and FWD within a unit switching period:
PIGBT_con=(VCEO(T)·IC+Rch(T)IC 2)·DT
PFWD_con=(VDO(T)ID+Rd(T)ID 2)·DD
at a switching frequency fswTime, turn-on power loss P of IGBTIGBT_onTurn off power loss PIGBT_offAnd reverse recovery power loss P of FWDFWD_reCan be expressed as follows:
PIGBT_on=fsw·EIGBT_on
PIGBT_off=fsw·EIGBT_off
PFWD_re=fsw·EFWD_re
wherein, the first and the second end of the pipe are connected with each other,
Figure GDA0003478004970000032
Figure GDA0003478004970000033
Figure GDA0003478004970000034
wherein E isIGBT_onTurn-on energy loss for IGBT, EIGBT_offTurn-off energy loss for IGBT, EFWD_reFor the reverse recovery energy loss of FWD, aon、bon、con、aoff、boff、coff、are、bre、creAs fitting constant, kon、koff、kreAs a temperature-dependent term, Eon(Rg)、Eoff(Rg)、Eoff(Rg) And Eon(Rrated)、Eoff(Rrated)、Eoff(Rrated) Respectively corresponding on and off energy consumption of IGBT, reverse recovery energy consumption of FWD, V under actual gate resistance and reference gate resistanceDC_ratedIs a reference dc bus value.
Further, the establishing of the thermal resistance network model of the IGBT power module in step 4 specifically includes:
the model is based on the following assumptions:
(1) neglecting the effects of thermal radiation and thermal convection, the form of heat transfer within the module is thermal conduction:
(2) due to the filling of the heat insulating silica gel, the heat transfer path is from the chip to the substrate:
(3) the influence of the thermal coupling between the chips is ignored:
(4) neglecting the local temperature difference of a single chip, and adopting a centralized parameter method;
and establishing a fourth-order Foster thermal resistance network model based on the assumptions.
Further, the junction temperature corresponding to the current motor operating point is calculated by the following method:
let the bottom surface temperature of the copper substrate be constant TCThe thermal resistance of IGBT and FWD from respective chips to bottom case is Rjc_IGBTAnd Rjc_FWDJunction temperature T of IGBT and anti-parallel diode FWDj_IGBT
Tj_FWDCan be expressed as follows:
Tj_IGBT=Tc+Rjc_IGBT·PIGBT
Tj_FWD=Tc+Rjc_FWD·PFWD
wherein, PIGBTIncluding PIGBT_con、PIGBT_onAnd PIGBT_off,PFWDIncluding PFWD_conAnd PFWD_re
The method provided by the invention solves the problems of excessive derating use and unreasonable thermal design for avoiding failure caused by overhigh junction temperature and overlarge fluctuation of the IGBT power module at present. According to the running state of the motor, dynamic analysis of circuit parameters including modulation ratio, output current, output voltage, output frequency and the like is carried out, and the analysis value is input into a junction temperature calculation model considering electrothermal coupling, so that dynamic junction temperature prediction under the working condition is realized. There are numerous non-obvious advantages over the prior art.
Drawings
FIG. 1 is a schematic flow chart of a method provided by the present invention
FIG. 2 is a schematic diagram of a half-bridge structure of an IGBT power module
FIG. 3 is a schematic diagram of the switching transient of an IGBT
FIG. 4 is an equivalent schematic diagram of an internal package of an IGBT power module
FIG. 5 is a schematic diagram of the SPWM bipolar modulation principle (regular sampling method)
FIG. 6 is a Foster equivalent thermal resistance network model
FIG. 7 shows the judgment logic of weak magnetic area and non-weak magnetic area of the motor
FIG. 8 is a schematic diagram of switching signals under SWPM modulation
Detailed Description
The technical scheme of the invention is further explained in detail by combining the attached drawings.
As shown in fig. 1, the present invention provides a method for dynamically predicting junction temperature of an IGBT power module, which specifically includes the following steps:
step 1, obtaining the torque and the rotating speed of the motor at a first working point according to the running state of the motor;
step 2, establishing a motor working point analytical model; and (3) inputting the torque and the rotating speed obtained in the step (1) into the established motor working point analytical model to obtain a dq axis current voltage value, and further obtaining the three-phase current voltage and the switching signal output by the inverter. Storing grid resistance of a driving end, switching frequency and DC end direct current bus voltage information;
step 3, establishing a loss calculation model of the IGBT power module; setting initial temperatures of an IGBT and an anti-parallel diode FWD in the power module, and inputting the parameters in the step 2 into the established loss calculation model to obtain loss values of the IGBT and the anti-parallel diode FWD;
step 4, establishing a thermal resistance network model of the IGBT power module; inputting the loss value obtained in the step 3 into the thermal resistance network model to obtain junction temperature corresponding to the current motor working point;
and 5, inputting the junction temperature feedback obtained in the step 4 into a loss calculation model of the IGBT power module to realize dynamic junction temperature prediction under the application of working conditions.
In a preferred embodiment of the present application, the establishing an analytic model of the operating point of the motor in step 2 specifically includes:
in the case of a surface-mounted motor, the inductances of d and q axes are the same and the same as the phase inductance, so the electromagnetic torque T is the sameemIs expressed as follows
Figure GDA0003478004970000051
Wherein p is the logarithm of the pole, #fIs a permanent magnet flux linkage iqIs the q-axis current;
alternatively, a motor constant k is adoptedtAnd iqManner of representing electromagnetic torque:
Figure GDA0003478004970000052
judging whether the motor is in a non-weak magnetic region or a weak magnetic region, as shown in fig. 7: in the non-weak magnetic region, the control requirement can be met by adopting id equal to 0. But when the voltage reaches the limit ulimIf the motor is to be operated at a higher rotation speed, the exciting current needs to be reduced, that is, the field weakening control is performed, and even if id becomes negative, the amplitude of the maximum phase voltage that can be output by the inverter under the SPWM modulation is 0.5UDC
Therefore, if the motor is in the non-flux weakening region, id is 0, and the amplitude of the output phase voltage at this time can be represented as:
Figure GDA0003478004970000053
and if the weak magnetic region has been entered, the amplitude of the output phase voltage is expressed as follows:
Figure GDA0003478004970000054
therefore, when performing field weakening, it is necessary to perform discrimination according to a certain logic. At any given rotational speed and torque, the id can be calculated when the weak magnetic area is entered. Subsequently, in conjunction with the weak magnetic determination, if the weak magnetic region is not present, it means that id is 0, and the calculated value is reset to 0, and if the weak magnetic region is present, the calculation result is kept unchanged according to the previous experiment.
After id and iq are obtained, the output of three-phase A, B, C at the corresponding torque and rotating speed can be obtained through constant amplitude conversion. The change of the dq axial alpha beta rotation coordinate system is Park transformation, and the conversion formula is as follows:
Figure GDA0003478004970000055
the transformation of α β into three-phase A, B, C is a Clark transformation, and the transformation formula is as follows.
Figure GDA0003478004970000056
Taking phase A as an example, the phase voltage U is setATriangular carrier UtriangleThe signal output 1 represents that the upper bridge arm is switched on and the lower bridge arm is switched off; and 0 represents that the lower bridge arm is switched on and the upper bridge arm is switched off. Taking phase a as an example, the output rule of the switching signal is as follows: u shapeA>UtriangleWhen the voltage is equal to the voltage of the upper bridge arm, the switching signal is output 1, the upper bridge arm is conducted and is combined with the phase voltage iAJudging whether the IGBT or the same bridge arm FWD works; when U is turnedA<UtriangleWhen the switching signal is output to be 0, the lower bridge arm is conducted, and the corresponding IGBT and FWD work judgment is also carried out through iAThe positive and negative judgment of (1) is opposite to the upper bridge arm condition. The switching signal output under the judgment is schematically shown as the following:
the model can realize the state analysis of circuit parameters of the module such as output voltage, current, frequency, switching signals and the like under different load working conditions.
In a preferred embodiment of the present application, the establishing a loss calculation model of the IGBT power module in step 3 specifically includes:
the IGBT power module generally includes an IGBT and an anti-parallel diode FWD, and thus, a power module having a typical half-bridge structure as shown in fig. 2 is formed, including upper and lower arms. Loss P of IGBT power moduleModuleThe method comprises the following steps: the transient process of the IGBT is shown in FIG. 3, and the on-state loss P is generated during the operationIGBT_conAnd turn-on loss P in the transient state of the switchIGBT_onTurn-off loss PIGBT_off(ii) a On-state loss P of FWD in operationFWD_conAnd reverse recovery loss PFWD_rr
PModule=PIGBT_con+PIGBT_on+PIGBT_off+PFWD_con+PFWD_re
On-state voltage drop V when IGBT and FWD are conductedCEAnd VDFrom respective threshold voltages VCEO、VDOAnd an on-resistance Rch、RdThe resulting pressure drop is two-part and related to the temperature T, which is expressed as follows, T0 being the reference temperature, ICAnd IDCurrent through IGBT and FWD, respectively, wherein bTM and bDAre all temperature-related terms that can be fitted by a curve.
Figure GDA0003478004970000061
VD(T)=VDO(T0)+bD·(T-T0)+Rd(T)·ID 2
Calculating to obtain the on-state loss, wherein DTAnd DDFor the duty cycle of IGBT and FWD within a unit switching period:
PIGBT_con=(VCEO(T)·IC+Rch(T)IC 2)·DT
PFWD_con=(VDO(T)ID+Rd(T)ID 2)·DD
the turn-on process of the IGBT includes a turn-on delay td(on)And the current rises by triVoltage drop tfvThree stages, the turn-on energy E generated by the IGBT when turning on onceIGBT_onIs represented as follows:
Figure GDA0003478004970000062
wherein, VDCIs a DC bus voltage, IRMReverse recovery of peak current for diodes
The turn-off process of the IGBT is changed from an on state to a forward blocking state. The process includes a voltage rise trvCurrent drop tfiAnd a tail ttailThree stages. Turn-off energy E generated by IGBT every time of turn-offIGBT_offIs shown as follows, ItailIs the tail current.
Figure GDA0003478004970000063
Where Δ V is the additional voltage spike.
Because the time of each stage in the switching process is difficult to determine, the voltage and current change rate is subjected to linear approximation treatment, and the IGBT switching energy loss and the direct-current bus voltage V can be obtainedDCIn a linear relationship with the collector current ICTo be quadratic, the above equation can be transformed to:
Figure GDA0003478004970000071
Figure GDA0003478004970000072
similarly, the reverse recovery loss of a diode can be expressed as follows:
Figure GDA0003478004970000073
in SPWM bipolar modulation as shown in FIGS. 5 and 8, the IGBT operates in the positive half-cycle of the current and the FWD operates in the negative half-cycle of the current. The pulse width delta of the IGBT and FWD device of the upper bridge arm in the k modulation wave period can be obtained through geometric similarity relation, wherein T is shown as follows0For modulating the wave period, TCIs a switching cycle.
Figure GDA0003478004970000074
Therefore, the conduction loss P of the IGBT and the FWD of the upper bridge arm under the SPWM modulation can be obtainedIGBT_conAnd PFWD_conThe on-state power loss in the k-th modulation wave period is:
Figure GDA0003478004970000075
at a switching frequency fswTime, turn-on power loss P of IGBTIGBT_onTurn off power loss PIGBT_offAnd reverse recovery power loss P of FWDFWD_reCan be expressed as follows:
PIGBT_on=fsw·EIGBT_on
PIGBT_off=fsw·EIGBT_off
PFWD_re=fsw·EFWD_re
in a preferred embodiment of the present application, the establishing a thermal resistance network model of the IGBT power module in step 4 specifically includes: as shown in fig. 4, the model is based on the following assumptions:
(1) neglecting the effects of thermal radiation and thermal convection, the form of heat transfer within the module is thermal conduction:
(2) due to the filling of the insulating silica gel, the heat transfer path is from the chip to the substrate:
(3) the influence of the thermal coupling between the chips is ignored:
(4) the local temperature difference of a single chip is ignored, and a centralized parameter method is adopted.
Each layer of the IGBT module can be considered as a thin flat wall with isotropic material. And the Bi number is very small, so that the unsteady state analysis can be carried out by using a centralized parameter method. The one-dimensional unsteady thermal conduction equation can be expressed as follows:
Figure GDA0003478004970000081
where ρ is the material density, CPIs its heat capacity value. The differential equations describing the physical process of one-dimensional heat conduction have the same form as the system of equations for electrical conduction. Therefore, the thermal problem can be converted into the electrical problem through the electric-thermal analogy, namely, the thermal resistance is analogized to resistance, the thermal capacitance is analogized to capacitance, and the power is analogized to current. The thermal impedance value of the system changing along with time can be expressed as a simple analytical formula, wherein tau in the expression is a thermal time constant, and the formula shows that the value of the thermal resistance R, the thermal capacity C determines the response of the system to the step function of the power loss.
τi=Ri·Ci
The parameters matched with the model can be obtained by fitting the transient thermal impedance curve, and a specific calculation formula is shown as follows, wherein n is the order of fitting. This resulted in a fourth order Foster thermal resistance network model, as shown in FIG. 6.
Figure GDA0003478004970000082
In a preferred embodiment of the present application, the junction temperature corresponding to the current motor operating point is calculated by:
for a single IGBT power module, the bottom surface temperature of the copper substrate is set to be constant TCThe thermal resistance of IGBT and FWD from respective chips to bottom case is Rjc_IGBTAnd Rjc_FWDJunction temperature T of IGBT and anti-parallel diode FWDj_IGBT、Tj_FWDCan be expressed as follows:
Tj_IGBT=Tc+Rjc_IGBT·PIGBT
Tj_FWD=Tc+Rjc_FWD·PFWD
wherein, PIGBTIncluding PIGBT_con、PIGBT_onAnd PIGBT_off,PFWDIncluding PFWD_conAnd PFWD_re
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (4)

1. A junction temperature dynamic prediction method for an IGBT power module is characterized by comprising the following steps: the method specifically comprises the following steps:
step 1, obtaining the torque and the rotating speed of the motor at a first working point according to the running state of the motor;
step 2, establishing a motor working point analytical model; inputting the torque and the rotating speed obtained in the step 1 into the established motor working point analytical model to obtain a dq axis current voltage value, and further obtaining an inverter output three-phase current voltage and a switching signal; storing grid resistance of a driving end, switching frequency and DC end direct current bus voltage information;
step 3, establishing a loss calculation model of the IGBT power module; setting initial temperatures of an IGBT and an anti-parallel diode FWD in the power module, and inputting all parameters in the step 2 into the established loss calculation model to obtain loss values of the IGBT and the anti-parallel diode FWD; the method specifically comprises the following steps:
loss P of IGBT power moduleModuleThe method comprises the following steps: on-state loss P generated during IGBT operationIGBT_conAnd turn-on loss P in the transient state of the switchIGBT_onTurn-off loss PIGBT_off(ii) a On-state loss P of FWD in operationFWD_conAnd reverse recovery loss PFWD_re
PModule=PIGBT_con+PIGBT_on+PIGBT_off+PFWD_con+PFWD_re
On-state voltage drop V when IGBT and FWD are conductedCEAnd VDFrom respective threshold voltages VCEO、VDOAnd an on-resistance Rch、RdThe generated pressure drop is composed of two parts and is in phase with the actual temperature T of the temperatureThe relationship is expressed as follows:
Figure FDA0003478004960000011
VD(T)=VDO(T0)+bD·(T-T0)+Rd(T)·ID 2
in the formula, T0Is a reference temperature, ICAnd IDCurrent through IGBT and FWD, respectively, wherein bTM and bDAll are temperature-related terms fitted by a curve;
calculating to obtain the on-state loss, wherein DTAnd DDFor the duty cycle of IGBT and FWD within a unit switching period:
PIGBT_con=(VCEO(T)·IC+Rch(T)IC 2)·DT
PFWD_con=(VDO(T)ID+Rd(T)ID 2)·DD
at a switching frequency fswTime, turn-on power loss P of IGBTIGBT_onTurn off power loss PIGBT_offAnd reverse recovery power loss P of FWDFWD_reIs represented as follows:
PIGBT_on=fsw·EIGBT_on
PIGBT_off=fsw·EIGBT_off
PFWD_re=fsw·EFWD_re
wherein the content of the first and second substances,
Figure FDA0003478004960000012
Figure FDA0003478004960000021
Figure FDA0003478004960000022
wherein E isIGBT_onTurn-on energy loss for IGBT, EIGBT_offFor turn-off energy loss, E, of the IGBTFWD_reFor the reverse recovery energy loss of FWD, aon、bon、con、aoff、boff、coff、are、bre、creAs fitting constant, kon、koff、kreAs a temperature-dependent term, Eon(Rg)、Eoff(Rg)、Eoff(Rg) And Eon(Rrated)、Eoff(Rrated)、Eoff(Rrated) Respectively corresponding on and off energy consumption of IGBT, reverse recovery energy consumption of FWD, V under actual gate resistance and reference gate resistanceDC_ratedIs a reference dc bus value;
step 4, establishing a thermal resistance network model of the IGBT power module; inputting the loss value obtained in the step 3 into the thermal resistance network model to obtain junction temperature corresponding to the current motor working point;
and 5, inputting the junction temperature feedback obtained in the step 4 into a loss calculation model of the IGBT power module to realize dynamic junction temperature prediction under the application of working conditions.
2. The method of claim 1, wherein: the establishing of the motor working point analytical model in the step 2 specifically includes:
for surface-mounted motors, the d-axis inductance LdAnd q-axis inductance LqSame and equal to the phase inductance, so its electromagnetic torque TemThe expression is as follows:
Figure FDA0003478004960000023
wherein p is the logarithm of the pole, #fIs a permanent magnet flux linkage iqIs the q-axis current;
alternatively, the motor constant K is adoptedtAnd iqManner of representing electromagnetic torque:
Figure FDA0003478004960000024
judging whether the motor is in a non-weak magnetic region or a weak magnetic region: in non-weakly magnetic regions by using idThe amplitude of the output phase voltage at this time is represented as follows, where ω is the electrical angular velocity:
Figure FDA0003478004960000025
in the flux weakening region, the amplitude of the output phase voltage is represented as follows, where VDCFor dc bus voltage:
Figure FDA0003478004960000026
after id and iq are obtained, A, B, C three-phase output under the corresponding torque and rotating speed is obtained through constant amplitude transformation, wherein Park transformation is applied to the change of the dq axial alpha beta rotation coordinate system, and the conversion relation is as follows:
Figure FDA0003478004960000031
wherein θ is a phase angle;
the transformation of the α β rotating coordinate system into three-phase A, B, C is a Clark transformation, with the following transformation relationships:
Figure FDA0003478004960000032
wherein iA、iB、iCEach phase current.
3. The method of claim 2, wherein: further, the establishing of the thermal resistance network model of the IGBT power module in step 4 specifically includes: the model is based on the following assumptions:
(1) neglecting the effects of thermal radiation and thermal convection, the form of heat transfer within the module is thermal conduction:
(2) due to the filling of the insulating silica gel, the heat transfer path is from the chip to the substrate:
(3) the influence of the thermal coupling between the chips is ignored:
(4) neglecting the local temperature difference of a single chip and adopting a centralized parameter method;
and establishing a fourth-order Foster thermal resistance network model based on the assumptions.
4. The method of claim 3, wherein: the junction temperature corresponding to the current motor working point is calculated in the following way: let the bottom surface temperature of the copper substrate be constant TCThe thermal resistance of IGBT and FWD from respective chips to bottom case is Rjc_IGBTAnd Rjc_FWDJunction temperature T of IGBT and anti-parallel diode FWDj_IGBT、Tj_FWDRespectively, as follows:
Tj_IGBT=Tc+Rjc_IGBT·PIGBT
Tj_FWD=Tc+Rjc_FWD·PFWD
wherein, PIGBTIncluding PIGBT_con、PIGBT_onAnd PIGBT_off,PFWDIncluding PFWD_conAnd PFWD_re
CN201810036617.7A 2018-01-15 2018-01-15 IGBT power module junction temperature dynamic prediction method Active CN108108573B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810036617.7A CN108108573B (en) 2018-01-15 2018-01-15 IGBT power module junction temperature dynamic prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810036617.7A CN108108573B (en) 2018-01-15 2018-01-15 IGBT power module junction temperature dynamic prediction method

Publications (2)

Publication Number Publication Date
CN108108573A CN108108573A (en) 2018-06-01
CN108108573B true CN108108573B (en) 2022-05-10

Family

ID=62218808

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810036617.7A Active CN108108573B (en) 2018-01-15 2018-01-15 IGBT power module junction temperature dynamic prediction method

Country Status (1)

Country Link
CN (1) CN108108573B (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109871591A (en) 2019-01-24 2019-06-11 武汉大学 A kind of method of IGBT power module estimation on line junction temperature
CN110504844A (en) * 2019-09-17 2019-11-26 国电南瑞科技股份有限公司 A kind of temperature optimization method of large capacity bank electricity system
CN112986707B (en) * 2019-12-02 2023-06-02 北京新能源汽车股份有限公司 Service life assessment method and device of power module and automobile
CN111090940B (en) * 2019-12-17 2023-04-14 南方电网科学研究院有限责任公司 MMC sub-module crimping type IGBT short-term failure analysis method based on ANSYS
CN112329244B (en) * 2020-11-09 2022-06-14 西南交通大学 Optimal power loss equivalent modeling method for IGBT junction temperature estimation
CN113030683A (en) * 2021-03-15 2021-06-25 五羊—本田摩托(广州)有限公司 Method, medium and computer equipment for measuring temperature of power switch device
CN113343449A (en) * 2021-05-26 2021-09-03 上海电力大学 Method, system and medium for identifying solder cavities of IGBT module of wind power converter
WO2023128737A1 (en) * 2022-01-03 2023-07-06 엘지이노텍 주식회사 Power conversion device
CN116467985B (en) * 2023-06-19 2023-08-29 湖南大学 IGBT dynamic avalanche current wire prediction method and system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106443400B (en) * 2016-09-14 2019-06-11 河北工业大学 A kind of electric-thermal of IGBT module-aging junction temperature computation model method for building up
CN107025364B (en) * 2017-05-12 2020-07-28 西安交通大学 Junction temperature prediction method of IGBT module

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Electro-thermal based junction temperature estimation model and thermal performance analysis for IGBT module;Xin Xin,etc;《2017 20th International Conference on Electrical Machines and Systems,ICEMS 2017》;20171005;第2页至第5页 *
The IGBT Losses Analysis and Calculation of Inverter for Two-seat Electric Aircraft Application;Kaixin Wei,etc;《The 8th International Conference on Applied Energy-ICAE2016》;20170601;全文 *

Also Published As

Publication number Publication date
CN108108573A (en) 2018-06-01

Similar Documents

Publication Publication Date Title
CN108108573B (en) IGBT power module junction temperature dynamic prediction method
JP6274077B2 (en) Motor control device
US9698722B2 (en) Method and inverter with thermal management for controlling an electric machine
US9595889B2 (en) System and method for single-phase and three-phase current determination in power converters and inverters
CN107148739B (en) The vehicle drive system of power-converting device and the application power-converting device
CN105048776B (en) Gate driving circuit
CN101142737A (en) Superheating detection mode of electric motor control device
Lemmens et al. Dynamic DC-link voltage adaptation for thermal management of traction drives
CN101714824A (en) Power electronic module igbt protection method and system
KR20130076662A (en) Motor control device and air conditioner
Wang et al. The loss analysis and efficiency optimization of power inverter based on SiC mosfet s under the high-switching frequency
CN103715971A (en) Motor control device and air conditioner
Lee et al. Analysis of the three-phase inverter power efficiency of a BLDC motor drive using conventional six-step and inverted pulsewidth modulation driving schemes
CN109591615B (en) Active heat control method of electric automobile controller and application system thereof
JP2015033149A (en) Drive unit of semiconductor element and power conversion device using the same
JP2015019478A (en) Motor controller and air conditioner
CN107534397A (en) A kind of IGBT parameter identification methods, dead-zone compensation method and inverter
JP2016103901A (en) Power module and power conversion device with the same
US20230396198A1 (en) Electrical power conversion apparatus
US11381189B2 (en) Methods and systems for improving current capability for electric motors
CN105471294A (en) Method for operating power semiconductors
JP2003189668A (en) Power converter
CN114036737A (en) Junction temperature calculation method, device, medium and vehicle for power conversion module
JP2020141457A (en) Power conversion device and temperature detection method for power conversion device
Davletzhanova et al. Electrothermal stresses in SiC MOSFET and Si IGBT 3L-NPC converters for motor drive applications

Legal Events

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