Battery Modeling for Road Vehicles Application: A Comparative Study

This paper presents a comparative study of three different lithium-ion battery modeling approaches for electric vehicle applications. The Shepherd analytical model is compared with the zero-order and first-order equivalent circuit models to identify an approach that offers a tradeoff between accuracy and complexity. The study concludes that models that do not require experimental testing for parameterization can be used for the initial sizing of a battery pack, while models based on experimental identification are more accurate and can be used, together with the former, if the sizing process needs to take into account the dynamics of the system. Overall, the paper highlights the importance of considering both accuracy and complexity when selecting a lithium-ion battery modeling approach for electric vehicle applications.

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Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819926
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Battery Modeling for Road Vehicles Application: A Comparative Study

Alfonso Damiano, R. Rizzo, Rosario Miceli, Nicola Campagna et al.
Advanced Battery Technologies Research
article

Battery Modeling for Road Vehicles Application: A Comparative Study

Alfonso Damiano, R. Rizzo, Rosario Miceli, Nicola Campagna, Giuseppe Bossi, Emanuele Fedele
article en

Abstract

This paper presents a comparative study of three different lithium-ion battery modeling approaches for electric vehicle applications. The Shepherd analytical model is compared with the zero-order and first-order equivalent circuit models to identify an approach that offers a tradeoff between accuracy and complexity. The study concludes that models that do not require experimental testing for parameterization can be used for the initial sizing of a battery pack, while models based on experimental identification are more accurate and can be used, together with the former, if the sizing process needs to take into account the dynamics of the system. Overall, the paper highlights the importance of considering both accuracy and complexity when selecting a lithium-ion battery modeling approach for electric vehicle applications.

University of Cagliari (IT), University of Naples Federico II (IT), University of Palermo (IT)
Sustainable cities and communities
Openalex Percentile: Top 73%
Advanced Battery Technologies Research
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