Abstract
In recent years, the electric vehicles (EVs) earned reputation due to increasing global warming potential and depletion of fossil fuels. Although EVs became popular, they have still some unsolved challenges such as their range issue. In order to solve their range issue their battery management system (BMS), functioning lithium-ion battery should estimate the state of charge (SOC) correctly to provide safe operation. In this paper, several SOC estimation approaches have been investigated to get accurate SOC. They have been presented and analyzed in terms of the estimation accuracy. For model- based approaches including Extended Kalman Filter (EKF) battery equivalent circuit model has been developed to simulate the dynamic behavior of 51 Ah NMC lithium-ion battery cell. The real world dynamometer measurement data (HPPC WLTP, etc.) have been used to identify and validate the model parameters. According to the results, EKF based estimation provides the best performance comparing to the other approaches.
| Original language | English |
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| Title of host publication | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 34-38 |
| Number of pages | 5 |
| ISBN (Electronic) | 9786050112757 |
| DOIs | |
| Publication status | Published - Nov 2019 |
| Event | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Duration: 28 Nov 2019 → 30 Nov 2019 |
Publication series
| Name | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
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Conference
| Conference | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 |
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| Country/Territory | Turkey |
| City | Bursa |
| Period | 28/11/19 → 30/11/19 |
Bibliographical note
Publisher Copyright:© 2019 Chamber of Turkish Electrical Engineers.
