Uninterruptible power supply (UPS) systems provide back-up power to various types of systems when there is a failure of the utility power source to supply power. In the event of a failure of the utility power source, the UPS identifies the failure, and switches to an alternative back-up power source. The back-up power source may include a battery, a flywheel converter, or other types of energy storage devices.
The following detailed description refers to the accompanying drawings. The same reference numbers in different drawings may identify the same or similar elements. The following detailed description does not limit the invention.
Inverters used in UPS systems typically use a fixed combination of time and amperage level to define fault clearing capability. A fault is defined as very low impedance on an electric distribution bus that causes the inverter to limit amperage and, therefore, lose voltage regulation. Upon the occurrence of a fault, the inverter opens a protection device, such as a fuse or breaker. The fault clearing mechanisms may consider worst case nominal operating conditions and extrapolate the temperature rise of a semiconductor device such that it does not exceed manufacturer's recommendations. Such fault clearing mechanisms, due to considering only worst case nominal operating conditions, leave much of the fault clearing capability unavailable for responding to fault conditions. In most applications, UPS systems are operated at room temperatures and at loads between 50% and 80%, and are not operated at worst case conditions. Additionally, the fault clearing mechanisms typically fix the fault clearing overload amperage setting and the overload time setting at the factory such that they cannot be changed.
Exemplary embodiments described herein implement a technique for adaptively turning off UPS power transistors (IGBTs, metal oxide semiconductor field effect transistors (MOSFETs), or junction gate field effect transistors (JFETs)), to prevent transistor overload damage, based on a measurement of a temperature associated with the heat sink of the transistor, and based on user preferences. The user preferences may specify user configurable time or amperage settings that specify either the overload current level, or the overload time, at which the inverter in the UPS system turns off the inverter transistors (e.g., IGBTs). The adaptive overload technique described herein coordinates the overload current level and the overload time such that they are best suited to clear the protection device(s) of the one or more loads powered by the UPS system. For example, if the protection device(s) includes fuses, then an optimized overload current level and overload time would allow for more current for less time to clear the fuses. In a breaker system, an optimized overload current level and overload time would allow for a longer overload time because of the mechanical, and relatively slow, nature of the breakers.
Control unit 110 operates to select an operation mode of UPS system 100, and then to control the operation of rectifier 115, inverter 120 and bypass circuit 105 based on the selected operation mode. In a first operation mode, control unit 110 causes bypass circuit to switch the three phase alternating current (AC) power output from utility power source 130 through to load 135. In this first operation mode, rectifier 115 converts the AC power supplied from utility power source 130, into direct current (DC) power, and supplies the DC power for storage in battery 125. Additionally, in the first operation mode, control unit 110 deactivates inverter 120 to prevent inverter 120 from converting the DC power stored in battery 125 into AC power and supplying it to load 135. As shown in
When a failure associated with utility power source 130 occurs, control unit 110 selects a second operation mode in which control unit 110 causes bypass circuit 105 to switch open the connection between the utility power source 130 and load 135. Additionally, in the second operation mode, control unit 110 activates inverter 120 such that inverter 120 converts the DC power from battery 125 into AC power, and supplies the converted AC power, as an output of inverter 120, to load 135.
In exemplary embodiments described herein, control unit 110 may select a third operation mode based on a temperature measurement associated with an IGBT module contained within inverter 120. In this third mode of operation, described in further detail below, control unit 110 may cause IGBTs (or MOSFETs, or JFETs) in the transistor (IGBT) module of inverter 120 to turn off, based at least in part upon the temperature measurement associated with the IGBT module and user settings 140, to prevent overload conditions from damaging the IGBT module of inverter 120, but, however, to enable inverter 120 to supply a sufficient current for a sufficient period of time to open a protection device(s) in load(s) 135. The user settings 140 may include user customizable values that further include a user-specified maximum current required for opening a protection device(s) in load(s) 135, or a user-specified overload time that indicates a minimum time needed for a protection device(s) in load(s) 135 to open.
The configuration of components of UPS system 100 illustrated in
The configuration of components of inverter 120 illustrated in
Processing unit 300 may include one or more processors or microprocessors which may interpret and execute instructions. The instructions may be stored in a memory device(s) (not shown) which may be retrieved and executed to perform the exemplary processes described herein. Alternatively, processing unit 300 may include processing logic. The memory device(s) may include a random access memory (RAM) or other type of dynamic storage device that may store information and instructions for execution by processing unit 300. The memory device(s) may further include a Read Only Memory (ROM) or another type of static storage device that may store static information and instructions for use by processing unit 300. The memory device(s) may additionally include a magnetic and/or optical recording medium. The memory device(s) may be referred to herein as a “non-transitory computer-readable medium” and/or a “tangible computer-readable medium.” The processes/methods described herein can be implemented as instructions that are stored in the memory device for execution by processing unit 300.
Current measuring unit 310 may include circuitry for measuring IGBT current(s). Current measuring unit 310 may supply data associated with measurements of the IGBT current(s) to processing unit 300. Overload timer 320 may measure an elapsed overload time associated with the operation of IGBTs 210 of inverter 120 (e.g., associated with a step in current through the IGBTs 210). Overload timer 320 may supply data indicating the elapsed overload time to processing unit 300.
Processing unit 300 may control the biasing of the bases of IGBTs 210 of inverter 120 via output control signals 330 supplied to inverter 120 via the control lines depicted in
The configuration of components of control unit 110 illustrated in
IGBT module 405 may include a module base plate 430 formed upon interface layer 415 and a bonding layer 435 formed in various patterns upon module base plate 430. A bonding layer 430 may be formed beneath each one of IGBTs 210 to bond each of the IGBTs 210 to module base plate 430. Bonding layer 430 may include, for example, a layer of direct bond copper (DBC) for bonding each IGBT 210 to module base plate 430. A negative temperature thermistor (NTC) 440 may further be formed upon bonding layer 435 to permit the measurement of a temperature of base plate 430.
Using the first law of thermodynamics:
Ė=q−{dot over (W)}=rate of energy transfer Eqn. (1)
where q=heat transfer rate, and
Assuming a linear temperature gradient:
where
Using the energy equation:
E=mCΔT Eqn. (5)
where
Taking the LaPlace transform of Eqn. (6):
If temperature T2 is constant, than it can be removed from the small signal model (it will be added back in later as a base temperature to which a temperature rise will be applied).
If the input q takes the form of a unit step, then:
Taking the inverse LaPlace transform produces the time-domain solution to a unit step response in q:
If the mass, specific heat, thermal conductivity, and thickness (L) are known, the rise in IGBT temperature (T1-rise(t)) may be calculated. However, the IGBT manufacturer rarely publishes this information. Instead, the manufacturer will often provide simulation software that enables the simulation of a step change in power loss through a step change in current through the IGBT 210. If the final value of T1, and the time to 63% of the final value of T1 are known, then α and β in Eqn. (14) can be found as follows:
Adding the heat sink temperature T2 back into Eqn. (17), and recognizing that a maximum IGBT 210 junction temperature is known and an approximate q per unit current can be determined, Eqn. (17) can be further rewritten as:
where qstep(I) is q as a function of current.
In addition to the temperature rise as a result of the buildup of energy in the IGBT, there is a near instantaneous jump in IGBT temperature that happens when a step in current through the IGBT 210 is applied. The mechanism for this is presumably known to IGBT manufacturers, but is not published. However, the model provided by some manufacturers includes this effect and, therefore, a line of best fit can estimate this effect. This instantaneous jump in temperature can be added to Eqn. (18) as follows:
where ΔTi(Iinitial, ΔI) is the temperature jump as a function of the initial current and the change in current that occurs during the transition from normal operation to overload. To facilitate the solving of Eqn. (19), I can be replaced with Iinitial+ΔI:
If the junction temperature is held constant at a maximum, then: 1) the maximum overload current can be specified and a maximum overload time (tmax) produced given a known T2 and an initial current (Iinitial) (Eqn. (21) below); or 2) the maximum overload time (tmax) can be specified, and a maximum overload current (ΔI) can be produced given a known T2 and an initial current (Iinitial) (Eqn. (22) below). Solving Eqn. (20) for the maximum overload time tmax realizes the following expression that corresponds to 1) above:
Solving Eqn. (20) for q as a function of current realizes the following expression that corresponds to 2) above:
Eqns. (21) and (22) cannot be solved analytically without knowing the form of a qstep(Iinitial+ΔI) and ΔTi(Iinitial, ΔI). qstep(Iinitial+ΔI) may be determined using a stochastic method, as described below with respect to the exemplary process of
Current versus power loss data is obtained for a given IGBT (block 500). For a given IGBT, manufacturer's thermal model simulation software may, for example, be used to obtain simulated power losses at certain currents and at given bus voltages. For example, the Infineon IPOSIM software may be used to simulate power losses for the Infineon FF600R06ME3 IGBT. The simulated power losses for bus 120V and 240V bus voltages at multiple simulated currents and at a heat sink temperature of 50° C. are depicted in Table 1:
A second order polynomial best fit curve of power loss as a function of current is determined using the obtained current versus power loss data (block 510) and the determined second order polynomial best fit curve is identified as a qstep(Iinitial+ΔI) (block 520). Though IGBT temperature affects power loss, it does not affect power loss as much as other factors. For example, for the FF600R06ME3 IGBT, only approximately 10% of the power loss is due to temperature from 10° C. to 160° C. The three main contributors to power loss are switching frequency, DC link voltage, and AC current through the IGBT. Generally, as any of these three contributors increase, so do power losses. If the maximum DC link voltage is known and the switching frequency is static, than an approximate curve of losses with respect to current may be found. Two common DC link voltages are 120V and 240V, and each of these DC link voltages has an associated maximum voltage. If these two maximum voltages are used in simulation, one curve for each of the DC link voltages can be determined by deriving a second order polynomial best fit curve of power loss as a function of current.
A plot 620 of losses 600 versus current 610 using the 120V DC link data from Table 1 is depicted in the two-dimensional graph of
y=0.0014x2+0.959x+60.43 Eqn. (23)
A plot 720 of losses 700 versus current 710 using the 240V DC link data from Table 1 is depicted in the two-dimensional graph of
y=0.0017x2+1.1444x+105.33 Eqn. (24)
One of the two curves of best fit (i.e., either Eqn. (23) or Eqn. (24)) may be selected for replacing qstep(Iinitial+ΔI) in Eqns. (21) and/or (22) above, as further described below with respect to blocks 1420 and 1440 of the exemplary process of
Temperature jump versus current jump data at various initial currents is obtained for a given IGBT (block 800). For the given IGBT, the manufacturer's thermal model simulation software may, for example, be used to obtain simulated values of jumps in temperature of the IGBT based on simulated values of jumps in current and given a DC link voltage and initial (starting) values for IGBT current. The jumps in temperature 900 may be plotted versus jumps in current 910, as depicted in
A second order polynomial best fit curve (y=c1x2+c2x) of the temperature jump as a function of current jump for multiple different initial currents is determined (block 805). As depicted in
Iinitial=50 A: y=2.386E-05x2+1.405E-02x; c1=2.386E-05 and c2=1.405E-02 Eqn. (25A)
Iinitial=100 A: y=2.339E-05x2+1.7765E-02x; c1=2.339E-05 and c2=1.7765E-02 Eqn. (25B)
Iinitial=150 A: y=2.164E-05x2+2.053E-02x; c1=2.164E-05 and c2=2.053E-02 Eqn. (25C)
Iinitial=200 A: y=2.003E-05x2+2.387E-02x; c1=2.003E-05 and c2=2.387E-02 Eqn. (25D)
Iinitial=250 A: y=1.822E-05x2+2.697E-02x; c1=1.822E-05 and c2=2.697E-02 Eqn. (25E)
Iinitial=300 A: y=1.747E-05x2+2.890E-02x; c1=1.747E-05 and c2=2.890E-02 Eqn. (25F)
Iinitial=350 A: y=1.599E-05x2+3.173E-02x; c1=1.599E-05 and c2=3.173E-02 Eqn. (25G)
The determined c1 and c2 coefficients from the determined second order polynomial best fit curves may be plotted as a function of initial current Iinitial (block 810). For example, from Eqn. (25A), a c1 of 2.386E-05 is plotted at an Iinitial of 50 A; from Eqn. (25B), a c1 of 2.339E-05 is plotted at an Iinitial=100 A; and so on including Eqns. (25C) through (25G), with a c1 of 1.599E-05 being plotted at an Iinitial=350 A for Eqn. (25G). An exemplary plot 1020 of the c1 coefficients on a polynomial coefficient value axis 1000 and initial current axis 1010 is depicted in
A linear regression best fit is determined for the c1 coefficients as a function of Iinitial: ƒ1=m1 Iinitial+b1 (block 815). For example, a linear regression best fit curve is determined for plot 1020 of the c1 coefficients of
A linear regression best fit is determined for the c2 coefficients as a function of Iinitial: ƒ2=m2 Iinitial+b2 (block 820). For example, a linear regression best fit curve is determined for plot 1030 of the c2 coefficients of
An equation for ΔTi(Iinitial, ΔI)≈f1(Iinitial)ΔI2+f2(Iinitial)ΔI may be identified, where functions ƒ1 and ƒ2 of the polynomial expression are approximated by linear functions: ΔTi(Iinitial, ΔI)≈(m1Iinitial+b1)ΔI2+(m2Iinitial+b2)ΔI (block 825). The best fit curve ƒ1 determined in block 815 is, therefore, inserted into the equation for ΔTi(Iinitial, ΔI) to be multiplied by ΔI2. The best fit curve ƒ2 determined in block 820 is also inserted into the equation for ΔTi(Iinitial, ΔI) to be multiplied by ΔI. In the example of
ΔTi(Iinitial,ΔI)≈(−2.764E-05Iinitial+2.560E-02)ΔI2+(5.840E-05+1.172E-02)ΔI Eqn. (26)
The equation for ΔTi(Iinitial, ΔI) determined in block 825 is used in blocks 1420 and 1440 of the exemplary process of
Temperature jump versus time data at a specified current load step, heat sink temperature, and DC link voltage may be obtained for a given IGBT (block 1100). For the given IGBT, the manufacturer's simulation software may, for example, be used to obtain simulated values of jumps in temperature given steps in load current, a heat sink temperature and a DC link voltage.
The obtained temperature versus time data may be plotted for the IGBT at the specified current load step (block 1110).
The simulated temperature of the heat sink may be determined, and, from plot 1230 of
A total exponential temperature rise T1-rise of IBGT 210 from the end of the initial temperature rise to the maximum steady state temperature may be determined (block 1125). Referring to plot 1230 of
A power loss at a current load step may be determined for the IGBT 210 (block 1130). The previously obtained power loss vs. current data, from Table 1 above, may be used to determine the power loss at the simulated load step. Referring to Table 1 above, the power loss at a 600 A load step and at a bus DC link voltage of 120V is 1135 W (rounding to a whole number). Alpha a, from Eqn. (20) above, may be determined (block 1135) using the following:
Beta β, from Eqn. (20) above, may be determined (block 1140) using the following:
β=αT1-rise/W Eqn. (28)
where T1-rise/W=T1-rise divided by the power loss at the load step.
The values for α and β, calculated above, may be used in Eqns (20), (21) and/or (22) in the exemplary process of
Subsequent to block 1410, the exemplary process of
In the alternative of blocks 1415 through 1430, control unit 110 receives a load protection device minimum time to open and sets it as the user-specified overload time (tmax) (block 1415). The overload time expression of Eqn. (21) and the determined heat sink temperature T2 may be iteratively used to determine a maximum current jump (ΔI) for the user-specified overload time (tmax) (block 1420). In one example, assuming an initial current Iinitial of 200 A RMS, a maximum temperature (T1-max) for the IGBT of 165° C., a measurement of the base plate temperature equating to a 150° C. temperature (T2) of heat sink 410, and a user specification of 20 milliseconds (ms) overload time (t), and taking Eqn. (21):
and further inserting the expression for qstep(Iinitial+ΔI) determined at block 520 in
A plot 1500 of the analytical expression of Eqn. (29) is depicted in
The IBGT current may be measured (block 1425). Current measuring unit 310 of control unit 110 may measure the IGBT current. Control unit 110 may bias IGBTs 210 of inverter 120 so as to turn them off when the measured IGBT current equals or exceeds the maximum current jump (ΔI) determined in block 1420 (block 1430). Once the IGBTs are turned off, a configurable time out period occurs after which the IGBTs are turned back on so inverter 120 resumes applying power to load(s) 135.
In the alternative of blocks 1435 through 1440, control unit 110 receives a load protection device current setting and sets it as the user-specified maximum current jump (ΔI) (block 1435). The overload time expression of Eqn. (21) and the determined heat sink temperature T2 may be iteratively used to determine the user-specified overload time tmax for the user-specified maximum current jump ΔI (block 1440). In a similar example to that described above with respect to block 14420, an initial current Iinitial of 200 A RMS, a maximum temperature (T1-max) for the IGBT of 165° C., a measurement of the base plate temperature equating to a 150° C. temperature (T2) of heat sink 410, the user-specified maximum current jump ΔI, the expression for qstep(Iinitial+ΔI) determined at block 520 in
The overload time may be measured (block 1445). Overload timer 320 of control unit 110 may measure an elapsed time since the beginning of the current jump (i.e., load step) through IGBTs 210. Control unit 110 may bias IGBTs 210 of inverter 120 so as to turn them off when the measured overload time equals or exceeds the maximum overload time tmax determined in block 1440 (block 1450). Once the IGBTs are turned off, a configurable time out period occurs—after which the IGBTs are turned back on so inverter 120 resumes applying power to load(s) 135.
The foregoing description of implementations provides illustration and description, but is not intended to be exhaustive or to limit the invention to the precise form disclosed. Modifications and variations are possible in light of the above teachings or may be acquired from practice of the invention. For example, while series of blocks have been described with respect to
Certain features described above may be implemented as “logic” or a “unit” that performs one or more functions. This logic or unit may include hardware, such as one or more processors, microprocessors, application specific integrated circuits, or field programmable gate arrays, software, or a combination of hardware and software.
Although the invention has been described in detail above, it is expressly understood that it will be apparent to persons skilled in the relevant art that the invention may be modified without departing from the spirit of the invention. Various changes of form, design, or arrangement may be made to the invention without departing from the spirit and scope of the invention. Therefore, the above-mentioned description is to be considered exemplary, rather than limiting, and the true scope of the invention is that defined in the following claims.
No element, act, or instruction used in the description of the present application should be construed as critical or essential to the invention unless explicitly described as such. Also, as used herein, the article “a” is intended to include one or more items. Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise.
This application claims priority under 35 U.S.C. §119, based on U.S. Provisional Application No. 61/908,992, filed Nov. 26, 2013, the disclosure of which is hereby incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
4245318 | Eckart et al. | Jan 1981 | A |
4346424 | Hansen | Aug 1982 | A |
4538199 | Bielinski et al. | Aug 1985 | A |
4937697 | Edwards | Jun 1990 | A |
4937757 | Dougherty | Jun 1990 | A |
4967304 | Dougherty | Oct 1990 | A |
5241444 | Yeh | Aug 1993 | A |
5367427 | Matsko et al. | Nov 1994 | A |
5394287 | Sakata et al. | Feb 1995 | A |
5418677 | Engel | May 1995 | A |
5483408 | Matsko et al. | Jan 1996 | A |
5987393 | Stinson | Nov 1999 | A |
6055145 | Lagree et al. | Apr 2000 | A |
6633474 | Boudaud | Oct 2003 | B1 |
6700804 | Reichard | Mar 2004 | B1 |
6798630 | Del Vecchio et al. | Sep 2004 | B1 |
6972972 | Duncan | Dec 2005 | B2 |
7746616 | Arndt | Jun 2010 | B2 |
7747356 | Andarawis et al. | Jun 2010 | B2 |
7763993 | Groff et al. | Jul 2010 | B2 |
7821376 | Song | Oct 2010 | B2 |
7844439 | Nasle et al. | Nov 2010 | B2 |
7844440 | Nasle et al. | Nov 2010 | B2 |
20020153238 | Baldauf et al. | Oct 2002 | A1 |
20070076342 | Arndt | Apr 2007 | A1 |
20090257156 | Vicente et al. | Oct 2009 | A1 |
20100103711 | Komatsuzaki | Apr 2010 | A1 |
20120286729 | Yegin | Nov 2012 | A1 |
20120306274 | Shetler, Jr. et al. | Dec 2012 | A1 |
Number | Date | Country | |
---|---|---|---|
20150146327 A1 | May 2015 | US |
Number | Date | Country | |
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61908992 | Nov 2013 | US |