This application is directed towards a method of predicting the junction temperature of a power semiconductor.
In the field of power semiconductors it is known that the temperature of the junction has a large impact on the operation of the device relying on the semiconductor, as well as impacting the lifespan of the semiconductor. Exceeding a temperature threshold can cause the junction to rapidly deteriorate and break. Also known in the art is the fact that, due to varied operating conditions, the temperature of the junction is not merely a function of the quantity of electrical power being passed through it.
When using a semiconductor junction in an application which has a widely varied and harsh operating environment (such as a hybrid or electric vehicle), the operating temperature can be greatly affected by the environment. Because the operating temperature has an impact on the life and functionality of a semiconductor junction, it is desirable to provide substantially accurate information regarding the temperature of the semiconductor. Since it is not desirable to include a temperature sensor on each semiconductor junction, it is desirable to develop a method of predicting the temperature of the semiconductor junction.
Known temperature prediction algorithms attempt to account for the operating conditions of the device. In order to predict a temperature, current methods utilize complex and detailed computer simulations which attempt to take the operating conditions into consideration. The output of these simulations is then used to create a database of predicted temperatures which can be utilized by a controller to predict the actual temperature. These simulations are time intensive, and can often result in predictions that differ significantly from the actual running temperatures.
It is therefore desirable to develop a quicker and more accurate method of determining temperature predictions and creating a prediction database.
Disclosed is a method for predicting the operating temperature of a semiconductor junction where the operating conditions are checked against a database of expected temperatures and an appropriate temperature is selected and where the database of predicted temperatures is constructed based on test conditions that are substantially similar to real world operating conditions.
These and other features of the present invention can be best understood from the following specification and drawings, the following of which is a brief description.
In order to facilitate faster and more accurate predictions of the operating temperature of a semiconductor junction, it is necessary to develop a new apparatus and method for determining the predictions.
A disclosed example method (illustrated in
After the temperature information and the torque/speed cycle information (or other operating information) has been recorded both sets of information arc compiled in a database in the data acquisition unit 110 where each temperature record is associated with at least a specific torque/speed. This can be done by using a timestamp during the initial recordation process, or any other known method of association. Once the temperature data and the torque/speed data (or any other operating conditions desired) are associated with each other it becomes possible to predict the temperature of the semiconductor junction during actual operation by determining the operating conditions and performing a database lookup. This method of determining predictions is significantly more accurate, than the known method of estimating operating conditions, inputting the estimates into a computer algorithm and running a simulation to determine predicted temperatures. Additionally the creation of the predicted temperature database is faster using the above described method than using the computer simulations known in the art.
In order to create above described apparatus it is necessary to develop a sensor system capable of measuring the operating temperature of a semiconductor junction while it was actually operating.
The temperature sensor 10 can be attached to the semiconductor junction 20 by placing a unit of thermally conductive and electrically isolative epoxy on the semiconductor junction 20 surface and then placing the temperature sensor on the unit of epoxy. This is then left to dry and once dried, the temperature sensor 10 is affixed to the semiconductor junction 20. Alternatively any other known method of thermally connecting the temperature sensor 10 to the semiconductor junction 20 could be used.
Referring again to
The test bench 104 of this embodiment can be constructed in any manner which would accurately reflect the conditions of an actual consumer unit, such as an electric or hybrid vehicle (
Electromagnetic noise emanating from nearby components can disrupt temperature measurement. The electromagnetic noise typical occurs in the form of high frequency voltage fluctuations, and can result in inaccurate measurements in any system relying on voltage signals. The example temperature sensor 10 is a silicon based temperature transducer which produces a current proportional to the temperature transducer's absolute temperature. Because, the output of the temperature sensor 10 is current based, the output avoids data corruption due to noise caused by voltage fluctuations. In this example an Analog Devices AD950 temperature sensor is used. However, it is known that any sensor capable of avoiding noise and accurately detecting the temperature of a semiconductor junction could be used and still meet the requirements of this disclosure.
Temperature data is recorded as indicated at step 2 and involves running the test system and recording the temperature data from the temperature sensor 10. In this step the semiconductor junction 20 is installed in the test system 100 along with the temperature sensor 10. The output from the temperature sensor 10 is recorded in a computer or some other form of memory as the test is run. The recorded temperature data is utilized to create a list of semiconductor junction temperatures related to different operational parameters.
Operating conditions are recorded as indicated at Step 3 simultaneously with the recording temperature data. Information about the specific operating conditions can include (but is not limited to) information about the torque/speed cycle, the ambient air temperature, or any other information indicative of system operating conditions. The test may be designed such that temperature data is taken at predetermined operating conditions. Therefore temperature data is recorded for each of the predetermined operating conditions.
Once Steps 2 and 3 have been performed, a database is created utilizing the temperature and operating condition data as indicated at Step 4. In Step 4, recorded data from steps 2 and 3 is merged into one database. The result of merging the temperature and operating conditions data is a data set that contains a temperature associated with each data point in the set of recorded operating conditions. The association between temperature and operating conditions can be done in any number of ways. One example method includes associating the first temperature to the first operating condition set (determined in step 3). Another example method includes recording a time stamp along with each recordation in steps 2 and 3 and then associating data sets having identical time stamps with each other. As appreciated, other methods of association known in the art arc within the contemplation of this invention. It is also within the contemplation of this method that the procedure of Step 4 may be performed as data is being recorded, thereby reducing the time required for the creation of the prediction database.
After data is compiled in a single database, the database is stored as indicated at step 5. The created database is stored in a data acquisition unit's memory 116 for subsequent transfer to the consumer unit 210. In the consumer unit 210, the temperature prediction database 206 can be stored in controller memory 204, or any other accessible memory unit within the consumer unit 210. Once the database 206 is fully installed the final consumer unit 210 can predict the temperature of the semiconductor junction 50 by determining the operating conditions of the semiconductor junction 50, looking up those operating conditions in the database 206, and then reading an associated temperature. The associated temperature is then the predicted temperature, and the controller 202 can respond accordingly.
Although a preferred embodiment of this invention has been disclosed, a worker of ordinary skill in this art would recognize that certain modifications would come within the scope of this invention. For that reason, the following claims should be studied to determine the true scope and content of this invention.
This application claims priority to U.S. Provisional Application No. 60/958,206 which was filed on Jul. 3, 2007.
Number | Date | Country | |
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60958206 | Jul 2007 | US |
Number | Date | Country | |
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Parent | 12144842 | Jun 2008 | US |
Child | 12767038 | US |