Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring
| Autor: | Matthew P. Castanier, Yi Ding, Hector E. Perez, Xinfan Lin, Yonghua Li, Jason B. Siegel, Anna G. Stefanopoulou, R. Dyche Anderson |
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| Rok vydání: | 2013 |
| Předmět: |
Materials science
State of health Lithium iron phosphate Nuclear engineering Condition monitoring Internal resistance Temperature measurement Lithium-ion battery chemistry.chemical_compound chemistry Control and Systems Engineering Control theory Adaptive system Electrical and Electronic Engineering Overheating (electricity) |
| Zdroj: | IEEE Transactions on Control Systems Technology. 21:1745-1755 |
| ISSN: | 1558-0865 1063-6536 |
| DOI: | 10.1109/tcst.2012.2217143 |
| Popis: | Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a thermal model is needed to estimate the core temperature of the battery, which can be higher and more critical. In this paper, an online parameter identification scheme is designed for a cylindrical lithium ion battery. An adaptive observer of the core temperature is then designed based on the online parameterization methodology and the surface temperature measurement. A battery thermal model with constant internal resistance is explored first. The identification algorithm and the adaptive observer is validated with experiments on a 2.3Ah 26650 lithium iron phosphate/graphite battery. The methodology is later extended to address temperature-dependent internal resistance with nonuniform forgetting factors. The ability of the methodology to track the long-term variation of the internal resistance is beneficial for battery health monitoring. |
| Databáze: | OpenAIRE |
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