The basic theory and application methods of battery system modeling and state estimation are reviewed systematically. The most commonly used battery models including the physics-based electrochemical models, the integral and fractional-order equivalent circuit models, and the data-driven models are compared and discussed.
Provided by the Springer Nature SharedIt content-sharing initiative Battery electric modeling is a central aspect to improve the battery development process as well as to monitor battery system behavior. Besides conventional physical models, machine learning methods show great potential to learn this task using in-vehicle data.
This paper presents a systematic review of the most commonly used battery modeling and state estimation approaches for BMSs. The models include the physics-based electrochemical models, the integral and fractional order equivalent circuit models, and data-driven models.
In addition, electric vehicle battery modeling is necessary for safe charging and discharging along with optimized battery consumption. This study provides a detailed review of various battery modeling methodologies, which include the battery electrical model, the battery thermal model, and the battery coupled model.
In the literature, established physical models, such as the equivalent circuit model (ECM) (Zhang et al. 2017), are widely used in the field of battery modeling. The ECM is a theoretical circuit that retains all the electrical characteristics of a battery by using only passive electrical components.
In the analyses, either only for a constant load condition or only for a light dynamic load condition. A battery model should be able to successfully model the actual behavior of the battery under all conditions such as constant load, light dynamic and high aggressive load.
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Vehicular level battery modeling and its application to battery ...
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Comparative analysis of equivalent circuit battery models for electric ...
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A comprehensive review of battery modeling and state estimation ...
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