000135953 001__ 135953
000135953 005__ 20240731103421.0
000135953 0247_ $$2doi$$a10.1109/TPEL.2024.3412009
000135953 0248_ $$2sideral$$a138933
000135953 037__ $$aART-2024-138933
000135953 041__ $$aeng
000135953 100__ $$0(orcid)0000-0001-9376-543X$$aSanz-Alcaine, José Miguel$$uUniversidad de Zaragoza
000135953 245__ $$aEstimation of semiconductor power losses through automatic thermal modeling
000135953 260__ $$c2024
000135953 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135953 5203_ $$aAchieving the optimal design of power converters requires a deep understanding of the system's dissipation elements to meet the desired performance and safety standards. Once the power converter is designed, it is of key importance to estimate the actual power losses in the real setup, in order to redesign the power converter or monitor and control the semiconductor power losses. With that purpose, calorimetric techniques have outperformed electrical methods. However, they come with mechanical limitations and depend on analytical electrothermal equivalent circuits. These models are highly topology and technology dependent, often resulting in simplistic representations that underestimate thermal effects or complex sets of differential equations. To overcome these challenges, we present a novel post-design automatic method for characterizing semiconductor power losses through its converter thermal dynamics. Our method is rooted in an optimization program that identifies the optimal discrete-time linear model according to a set of power vs. temperature profiles. The proposed approach ensures accurate identification and integration of desired modeling requirements. The methodology is applicable to any power converter topology, and the derived linear model enables the use of standard control theory techniques for monitorization and control. Experiments with a real power converter validate the proposal's versatility and accuracy.
000135953 536__ $$9info:eu-repo/grantAgreement/CDTI MIG-20201042 CARDHIN$$9info:eu-repo/grantAgreement/ES/MCIU/FPU19-05700
000135953 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000135953 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000135953 700__ $$0(orcid)0000-0001-9671-4056$$aSebastián, Eduardo$$uUniversidad de Zaragoza
000135953 700__ $$0(orcid)0000-0002-3302-7862$$aPerez-Cebolla, Francisco José$$uUniversidad de Zaragoza
000135953 700__ $$aArruti, Asier
000135953 700__ $$0(orcid)0000-0001-9334-4870$$aBernal-Ruiz, Carlos$$uUniversidad de Zaragoza
000135953 700__ $$aAizpuru, Iosu
000135953 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000135953 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000135953 773__ $$g39, 9 (2024), 11086-11098$$pIEEE trans. power electron.$$tIEEE Transactions on Power Electronics$$x0885-8993
000135953 8564_ $$s3439545$$uhttps://zaguan.unizar.es/record/135953/files/texto_completo.pdf$$yVersión publicada
000135953 8564_ $$s2721247$$uhttps://zaguan.unizar.es/record/135953/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000135953 909CO $$ooai:zaguan.unizar.es:135953$$particulos$$pdriver
000135953 951__ $$a2024-07-31-10:09:49
000135953 980__ $$aARTICLE