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Energies 2017, 10(12), 2007;

Lithium Ion Battery Models and Parameter Identification Techniques

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
Author to whom correspondence should be addressed.
Received: 16 October 2017 / Revised: 17 November 2017 / Accepted: 24 November 2017 / Published: 1 December 2017
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Nowadays, battery storage systems are very important in both stationary and mobile applications. In particular, lithium ion batteries are a good and promising solution because of their high power and energy densities. The modeling of these devices is very crucial to correctly predict their state of charge (SoC) and state of health (SoH). The literature shows that numerous battery models and parameters estimation techniques have been developed and proposed. Moreover, surveys on their electric, thermal, and aging modeling are also reported. This paper presents a more complete overview of the different proposed battery models and estimation techniques. In particular, a method for classifying the proposed models based on their approaches is proposed. For this classification, the models are divided in three categories: mathematical models, physical models, and circuit models. View Full-Text
Keywords: battery modeling; lithium ion battery; storage system; parameter estimation battery modeling; lithium ion battery; storage system; parameter estimation

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Barcellona, S.; Piegari, L. Lithium Ion Battery Models and Parameter Identification Techniques. Energies 2017, 10, 2007.

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