Nima Tashakor, Bita Arabsalmanabadi, Shahab Afrasiabi, Mohamed Mohamed and Stefan Goetz
Paper (2022)
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| Department: | Department of Mathematics and Industrial Engineering |
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| ISBN: | 9781665480253 |
| PolyPublie URL: | https://publications.polymtl.ca/53240/ |
| Conference Title: | 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022) |
| Conference Location: | Brussels, Belgium |
| Conference Date(s): | 2022-10-17 - 2022-10-20 |
| Publisher: | IEEE |
| DOI: | 10.1109/iecon49645.2022.9968516 |
| Official URL: | https://doi.org/10.1109/iecon49645.2022.9968516 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Tashakor, N., Arabsalmanabadi, B., Afrasiabi, S., Mohamed, M., & Goetz, S. (2022, October). An Accurate Practical Technique for Real-Time State-of-Charge Estimation of Li-Ion Batteries Using Neural Networks [Paper]. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, Belgium (6 pages). https://doi.org/10.1109/iecon49645.2022.9968516 |
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