@misc{li_parameter_2018,
	title = {A parameter estimation method for a simplified electrochemical model for {Li}-ion batteries},
	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.},
	author = {Li, Junfu and Wang, Lixin and Lyu, Chao and Liu, Enhui and Xing, Yinjiao and Pecht, Michael},
	year = {2018},
	doi = {10.1016/j.electacta.2018.04.098},
	note = {ISSN: 00134686
Pages: 50–58
Publication Title: Electrochimica Acta
Volume: 275},
	keywords = {Battery management system, Electrochemical model, Model parameters, Operating test},
}

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