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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.05776 |
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| _version_ | 1866913306067861504 |
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| author | Darapaneni, Narayana K, Ashish S, Ullas M Paduri, Anwesh Reddy |
| author_facet | Darapaneni, Narayana K, Ashish S, Ullas M Paduri, Anwesh Reddy |
| contents | The battery management system plays a vital role in ensuring the safety and dependability of electric and hybrid vehicles. It is responsible for various functions, including state evaluation, monitoring, charge control, and cell balancing, all integrated within the BMS. Nonetheless, due to the uncertainties surrounding battery performance, implementing these functionalities poses significant challenges. In this study, we explore the latest approaches for assessing battery states, highlight notable advancements in battery management systems (BMS), address existing issues with current BMS technology, and put forth possible solutions for predicting battery charging voltage. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_05776 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach Darapaneni, Narayana K, Ashish S, Ullas M Paduri, Anwesh Reddy Computer Vision and Pattern Recognition Artificial Intelligence Systems and Control The battery management system plays a vital role in ensuring the safety and dependability of electric and hybrid vehicles. It is responsible for various functions, including state evaluation, monitoring, charge control, and cell balancing, all integrated within the BMS. Nonetheless, due to the uncertainties surrounding battery performance, implementing these functionalities poses significant challenges. In this study, we explore the latest approaches for assessing battery states, highlight notable advancements in battery management systems (BMS), address existing issues with current BMS technology, and put forth possible solutions for predicting battery charging voltage. |
| title | Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2404.05776 |