Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method
The two important characteristics of an IGBT, which should be considered in device modelling, are the conduction (static) and the switching (dynamic) characteristics. The conduction characteristic parameters were discussed previously (Mariun et al, 1997) and here only the dynamic parameters are pres...
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IEEE
1998
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Online Access: | http://psasir.upm.edu.my/id/eprint/51238/1/51238.pdf http://psasir.upm.edu.my/id/eprint/51238/ |
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my.upm.eprints.512382017-07-04T03:28:23Z http://psasir.upm.edu.my/id/eprint/51238/ Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method Mariun, Norman Aris, Ishak Shepherd, W. The two important characteristics of an IGBT, which should be considered in device modelling, are the conduction (static) and the switching (dynamic) characteristics. The conduction characteristic parameters were discussed previously (Mariun et al, 1997) and here only the dynamic parameters are presented briefly to give background before detailed development of the model is presented. The curve-fitting optimisation method available in HSPICE is used to determine the model parameters and the results are compared with laboratory test results and are found to be in good agreement. IEEE 1998 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/51238/1/51238.pdf Mariun, Norman and Aris, Ishak and Shepherd, W. (1998) Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method. In: 1998 IEEE International Conference on Semiconductor Electronics (lCSE'98), 24-26 Nov. 1998, Equatorial Hotel, Bangi. (pp. 138-142). 10.1109/SMELEC.1998.781167 |
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The two important characteristics of an IGBT, which should be considered in device modelling, are the conduction (static) and the switching (dynamic) characteristics. The conduction characteristic parameters were discussed previously (Mariun et al, 1997) and here only the dynamic parameters are presented briefly to give background before detailed development of the model is presented. The curve-fitting optimisation method available in HSPICE is used to determine the model parameters and the results are compared with laboratory test results and are found to be in good agreement. |
format |
Conference or Workshop Item |
author |
Mariun, Norman Aris, Ishak Shepherd, W. |
spellingShingle |
Mariun, Norman Aris, Ishak Shepherd, W. Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
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Mariun, Norman Aris, Ishak Shepherd, W. |
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Mariun, Norman |
title |
Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
title_short |
Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
title_full |
Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
title_fullStr |
Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
title_full_unstemmed |
Determination of dynamic parameters for HSPICE IGBT model using curve-fitting optimisation method |
title_sort |
determination of dynamic parameters for hspice igbt model using curve-fitting optimisation method |
publisher |
IEEE |
publishDate |
1998 |
url |
http://psasir.upm.edu.my/id/eprint/51238/1/51238.pdf http://psasir.upm.edu.my/id/eprint/51238/ |
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1643834896056057856 |
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13.211869 |