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- W2800478904 abstract "Traditional electrochemical algorithms are too complex for use in real-time battery management systems (BMSs). Determination of parameters and implementation of algorithms are the key challenges for electrochemical models for Li-ion batteries. This paper develops a simplified electrochemical model that incorporates open-circuit voltage, liquid-phase diffusion, reaction polarization, and ohmic polarization, and uses a fast operating test to identify all the parameters to solve these challenges. The model is then implemented and compared against experimental measurements. Validations of parameter estimation and charge/discharge behaviors indicate that the developed parameter estimation method for the electrochemical model is effective. With this model and parameter estimation technique, electrochemical model-based state of charge (SOC) estimation can be realized online and can provide accurate results." @default.
- W2800478904 created "2018-05-17" @default.
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- W2800478904 date "2018-06-01" @default.
- W2800478904 modified "2023-10-13" @default.
- W2800478904 title "A parameter estimation method for a simplified electrochemical model for Li-ion batteries" @default.
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- W2800478904 doi "https://doi.org/10.1016/j.electacta.2018.04.098" @default.
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