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Design of an Observer for Lithium-ion Battery State of Charge

Fereydooni Sefid Dashti, Alireza | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55008 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza; Vafa, Ehsan
  7. Abstract:
  8. To ensure stable and optimal operation of lithium-ion batteries (LIBs), it is necessary to use a management system for online monitoring and accurate estimation of battery State of Charge (SOC). Due to LIBs' complex dynamics and effective factors such as temperature and side reactions, battery SOC estimation has become one of the greatest challenges for experts in the field. In this research, an adaptive sliding mode observer has been designed and evaluated for a cylindrical lithium manganese oxide battery with a capacity of 1258 mAh. At first, rigorous simulation of lithium-ion battery has been performed by utilizing the P2D electrochemical as well as thermal and aging model to be the main source of the required data. Then, a design model based on equivalent circuit and lumped thermal model has been introduced. An adaptive sliding mode observer was designed through battery voltage and its surface temperature as input measurements. Performance of the proposed observer has been evaluated using state-of-the-art model simulation as well as experimental data. Analysis and dissection of the results indicates that the proposed observer has a chattering-free performance compared to the existing sliding mode observers and also its accuracy is by far higher than that of commonly used extended Kalman filter
  9. Keywords:
  10. Lithium Ion Batteries ; Thermal Modeling ; Sliding Mode Observer ; State of Charge ; Aging Model ; Multi-Physical Simulation

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