Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement
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arXiv
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| Format: | Preprint |
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2024
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| author | Kulkarni, Abhijit Nadeem, Ahsan Di Fonso, Roberta Zheng, Yusheng Teodorescu, Remus |
| author_facet | Kulkarni, Abhijit Nadeem, Ahsan Di Fonso, Roberta Zheng, Yusheng Teodorescu, Remus |
| contents | Modeling of Li-ion cells is used in battery management systems (BMS) to determine key states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also useful in developing a cell-level digital-twin that can be used for protection and diagnostics in the BMS. In this paper, a low-complexity model development is proposed based on the equivalent circuit model (ECM) of the Li-ion cells. The proposed approach uses online impedance measurement at discrete frequencies to derive the ECM that matches closely with the results from the electro-impedance spectroscopy (EIS). The proposed method is suitable to be implemented in a microcontroller with low-computational power, typically used in BMS. Practical design guidelines are proposed to ensure fast and accurate model development. Using the proposed method to enhance the functions of a typical automotive BMS is described. Experimental validation is performed using large prismatic cells and small-capacity cylindrical cells. Root-mean-square error (RMSE) of less than 3\% is observed for a wide variation of operating conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_07777 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement Kulkarni, Abhijit Nadeem, Ahsan Di Fonso, Roberta Zheng, Yusheng Teodorescu, Remus Systems and Control Modeling of Li-ion cells is used in battery management systems (BMS) to determine key states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also useful in developing a cell-level digital-twin that can be used for protection and diagnostics in the BMS. In this paper, a low-complexity model development is proposed based on the equivalent circuit model (ECM) of the Li-ion cells. The proposed approach uses online impedance measurement at discrete frequencies to derive the ECM that matches closely with the results from the electro-impedance spectroscopy (EIS). The proposed method is suitable to be implemented in a microcontroller with low-computational power, typically used in BMS. Practical design guidelines are proposed to ensure fast and accurate model development. Using the proposed method to enhance the functions of a typical automotive BMS is described. Experimental validation is performed using large prismatic cells and small-capacity cylindrical cells. Root-mean-square error (RMSE) of less than 3\% is observed for a wide variation of operating conditions. |
| title | Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2402.07777 |