000076054 001__ 76054
000076054 005__ 20191212100700.0
000076054 0247_ $$2doi$$a10.1016/j.jpowsour.2017.12.058
000076054 0248_ $$2sideral$$a103803
000076054 037__ $$aART-2018-103803
000076054 041__ $$aeng
000076054 100__ $$0(orcid)0000-0003-0198-5094$$aSanz-Gorrachategui, Iván
000076054 245__ $$aNew battery model considering thermal transport and partial charge stationary effects in photovoltaic off-grid applications
000076054 260__ $$c2018
000076054 5060_ $$aAccess copy available to the general public$$fUnrestricted
000076054 5203_ $$aThe optimization of the battery pack in an off-grid Photovoltaic application must consider the minimum sizing that assures the availability of the system under the worst environmental conditions. Thus, it is necessary to predict the evolution of the state of charge of the battery under incomplete daily charging and discharging processes and fluctuating temperatures over day-night cycles.
Much of previous development work has been carried out in order to model the short term evolution of battery variables. Many works focus on the on-line parameter estimation of available charge, using standard or advanced estimators, but they are not focused on the development of a model with predictive capabilities. Moreover, normally stable environmental conditions and standard charge-discharge patterns are considered. As the actual cycle-patterns differ from the manufacturer's tests, batteries fail to perform as expected.
This paper proposes a novel methodology to model these issues, with predictive capabilities to estimate the remaining charge in a battery after several solar cycles. A new non-linear state space model is proposed as a basis, and the methodology to feed and train the model is introduced. The new methodology is validated using experimental data, providing only 5% of error at higher temperatures than the nominal one.
000076054 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/RTC-2015-3358-5
000076054 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000076054 590__ $$a7.467$$b2018
000076054 591__ $$aCHEMISTRY, PHYSICAL$$b26 / 148 = 0.176$$c2018$$dQ1$$eT1
000076054 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b32 / 293 = 0.109$$c2018$$dQ1$$eT1
000076054 591__ $$aENERGY & FUELS$$b11 / 103 = 0.107$$c2018$$dQ1$$eT1
000076054 591__ $$aELECTROCHEMISTRY$$b3 / 26 = 0.115$$c2018$$dQ1$$eT1
000076054 592__ $$a1.947$$b2018
000076054 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000076054 593__ $$aRenewable Energy, Sustainability and the Environment$$c2018$$dQ1
000076054 593__ $$aPhysical and Theoretical Chemistry$$c2018$$dQ1
000076054 593__ $$aEnergy Engineering and Power Technology$$c2018$$dQ1
000076054 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000076054 700__ $$0(orcid)0000-0001-9334-4870$$aBernal, Carlos$$uUniversidad de Zaragoza
000076054 700__ $$0(orcid)0000-0002-4834-940X$$aOyarbide, Estanis$$uUniversidad de Zaragoza
000076054 700__ $$aGarayalde, Erik
000076054 700__ $$aAizpuru, Iosu
000076054 700__ $$aCanales, Jose María
000076054 700__ $$0(orcid)0000-0001-5664-7063$$aBono-Nuez, Antonio$$uUniversidad de Zaragoza
000076054 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000076054 773__ $$g378 (2018), 311-321$$pJ. power sources$$tJOURNAL OF POWER SOURCES$$x0378-7753
000076054 8564_ $$s1004033$$uhttps://zaguan.unizar.es/record/76054/files/texto_completo.pdf$$yPostprint
000076054 8564_ $$s61974$$uhttps://zaguan.unizar.es/record/76054/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000076054 909CO $$ooai:zaguan.unizar.es:76054$$particulos$$pdriver
000076054 951__ $$a2019-12-12-10:04:00
000076054 980__ $$aARTICLE