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Thermal Modeling and Simulation of a Lithium-ion Battery

Mohammadi, Mostafa | 2018

1995 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50467 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. Today, considering the global demand for reducing greenhouse gas emissions, rechargeable batteries are considered as a source of energy in electric vehicles, hybrid electric vehicles and smart grids. In all these applications for secondary batteries, the battery management system requires an accurate estimate state of charge of each cell. However, this estimate is difficult particularly for battery aging. In this study, a lithium-ion battery is modeled by using multidimensional multiphysics modeling and simulated in a comsol. In this simulation, the effect of the thermal conductivity coefficient on the battery temperature, initial salt concentration in electrolyte and the rate of discharge of the battery have been investigated. And finaly it was found that higher discharge caused higher temperature of the battery. This temperature increase for a discharge rate of 3C is more than 8°C than 1C. Then, by use of the capabilities of the client-server comsol, this model is taken to the Simulink, and a extended kalman filter has been developed to estimate its state of chrge. For Soc estimating, SOC and voltage of the RC loop are considered as two system states. The results in this section provide an estimate of up to 1% error
  9. Keywords:
  10. Extended Kalman Filter ; Thermal Simulation ; Lithium Batteries ; COMSOL Software ; Mitigation ; Greenhouse Gases ; State of Change (SOC)Estimation

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