000			02102nab a2200265 4500
005			20260520003105.0
008			260224s2013 xxu ing
041			_aInglés
245	0	0	_aParameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management
260			_a _b _cene./feb. 2013
270			_a17/10/2013 ; 17/10/2013
300			_a13 p. ; 165-178
520			_aTranscripción del resumen del autor: Although the battery surface temperature is commonly measured, the core temperature of a cell may be much higher hence more critical than the surface temperature. The core temperature of a battery, though usually unmeasured in commercial applications, can be estimated by an observer, based on a lumped-parameter battery thermal model and the measurement of the current and the surface temperature. Even with a closed loop observer based on the measured surface temperature, the accuracy of the core temperature estimation depends on the model parameters. For such purpose, an online parameterization methodology and an adaptive observer are designed for a cylindrical battery. The single cell thermal model is then scaled up to create a battery cluster model to investigate the temperature pattern of the cluster. The modeled thermal interconnections between cells include cell to cell heat conduction and convection to the surrounding coolant flow. An observability analysis is performed on the cluster before designing a closed loop observer for the pack. Based on the analysis, guidelines for determining the minimum number of required sensors and their exact locations are derived that guarantee the observability of all temperature states.
581			_a1
773	0		_tOil and Gas Science and Technology _g68
942			_cARTICULO
100	1		_aLin, Xinfan _953515
100	1		_aFu, HUan _953516
100	1		_aPerez, Hector E. _953517
100	1		_aSiege, Jason B. _953518
100	1		_aStefanopoulou, Anna G. _953519
100	1		_aDing, Yi _953520
100	1		_aCastanier, Matthew P. _953521
999			_c187930 _d187930