Summary of Forecasting Electric Vehicle Battery Output Voltage: a Predictive Modeling Approach, by Narayana Darapaneni et al.
Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach
by Narayana Darapaneni, Ashish K, Ullas M S, Anwesh Reddy Paduri
First submitted to arxiv on: 8 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Systems and Control (eess.SY)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In a breakthrough paper, researchers delve into the complexities of electric vehicle battery management systems, highlighting challenges and proposing innovative approaches to assess battery states. The study showcases advancements in Battery Management System (BMS) technology, addresses existing limitations, and offers potential solutions for predicting battery charging voltage. By developing more accurate BMS functionalities, this research aims to ensure the safety and dependability of electric and hybrid vehicles. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Electric cars and hybrids rely on battery management systems to keep them safe and reliable. But batteries are tricky, and it’s hard to predict how they’ll perform. Scientists are working to improve these systems by finding new ways to check on batteries’ condition and control charging. This research looks at the latest ideas for doing just that. |