Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
81 tokens/sec
Gemini 2.5 Pro Premium
33 tokens/sec
GPT-5 Medium
31 tokens/sec
GPT-5 High Premium
22 tokens/sec
GPT-4o
78 tokens/sec
DeepSeek R1 via Azure Premium
92 tokens/sec
GPT OSS 120B via Groq Premium
436 tokens/sec
Kimi K2 via Groq Premium
209 tokens/sec
2000 character limit reached

Reconfigurable Battery Systems for Enhanced Fast Charging in Electric Vehicles (2507.11749v1)

Published 15 Jul 2025 in eess.SY and cs.SY

Abstract: The adoption of electric vehicles (EVs) is rapidly growing as a key solution to reducing greenhouse gas emissions. However, prolonged charging times remain a significant barrier to widespread EV usage, especially for individuals without access to fast charging infrastructure. This paper explores the potential of reconfigurable battery systems to reduce EV charging times without compromising battery life. We propose innovative battery pack configurations that dynamically adjust the arrangement of cells to optimize charging performance. Simulations were conducted using MATLAB and Simulink to compare the efficiency of various battery configurations, focusing on charging times, state of charge (SOC), voltage, and current under different conditions. The results demonstrate that connecting more batteries in series through reconfigurability in battery packs can significantly reduce charging times while maintaining operational safety. This study offers insights into how reconfigurable battery designs can provide a practical solution for faster, more efficient home-based EV charging, making EV ownership more accessible and sustainable.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube