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On lead-acid-battery resistance and cranking-capability estimation / Cugnet, Mikael in IEEE transactions on industrial electronics, Vol. 57 N° 3 (Mars 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 3 (Mars 2010) . - pp. 909 - 917 Titre : On lead-acid-battery resistance and cranking-capability estimation Type de document : texte imprimé Auteurs : Cugnet, Mikael, Auteur ; Sabatier, Jocelyn, Auteur ; Laruelle, Stéphane, Auteur Article en page(s) : pp. 909 - 917 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Battery  resistance  Cranking  Fractional  systems  Lead-acid  batteries  System  identification Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : With hybrid and electric vehicle developments, battery-monitoring systems have to meet the new requirements of the automobile industry. This paper deals with one of them, the battery's ability to start a vehicle, also called battery crankability, through battery-resistance estimation. A fractional-order model obtained by system identification is used to estimate the internal resistance of lead-acid batteries. Fractional-order modeling permits an accurate simulation of the battery electrical behavior with a low number of parameters. Moreover, the high-frequency gain of the fractional model is directly linked to the battery resistance. A resistance-estimation method based on a frequency-invalidation method is, thus, proposed. It is demonstrated that the battery's available power that defines battery crankability is correlated to the battery resistance. Thus, a battery-crankability estimator using the battery resistance is suggested. Validation tests are carried out with various batteries. This estimator cannot be embedded in a microcontroller due to the linear-matrix-inequality-based optimization algorithm in the invalidation-model method used. A simplified algorithm is finally proposed, and its efficiency is proved. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5340638 [article] On lead-acid-battery resistance and cranking-capability estimation [texte imprimé] / Cugnet, Mikael, Auteur ; Sabatier, Jocelyn, Auteur ; Laruelle, Stéphane, Auteur . - pp. 909 - 917. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 3 (Mars 2010) . - pp. 909 - 917 Mots-clés : Battery  resistance  Cranking  Fractional  systems  Lead-acid  batteries  System  identification Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : With hybrid and electric vehicle developments, battery-monitoring systems have to meet the new requirements of the automobile industry. This paper deals with one of them, the battery's ability to start a vehicle, also called battery crankability, through battery-resistance estimation. A fractional-order model obtained by system identification is used to estimate the internal resistance of lead-acid batteries. Fractional-order modeling permits an accurate simulation of the battery electrical behavior with a low number of parameters. Moreover, the high-frequency gain of the fractional model is directly linked to the battery resistance. A resistance-estimation method based on a frequency-invalidation method is, thus, proposed. It is demonstrated that the battery's available power that defines battery crankability is correlated to the battery resistance. Thus, a battery-crankability estimator using the battery resistance is suggested. Validation tests are carried out with various batteries. This estimator cannot be embedded in a microcontroller due to the linear-matrix-inequality-based optimization algorithm in the invalidation-model method used. A simplified algorithm is finally proposed, and its efficiency is proved. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5340638