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Updated: Sep 18, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

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一个增强的级联深度学习框架,用于预测多电池电压和估计电动汽车电池的电荷状态,使用LSTM网络

Supavee Pourbunthidkul1, Narawit Pahaisuk1, Popphon Laon1

  • 1School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

本研究介绍了一种用于电动汽车 (EV) 的新型深度学习电池管理系统 (BMS),该系统在热带气候下提高了15%的充电状态 (SoC) 精度. 先进的框架提高了电动汽车在高温条件下的可靠性.

关键词:
电池管理系统 电池管理系统深度学习是一种深度学习.电动汽车电动汽车是什么铁酸电池是铁酸电池的一种.长期短期记忆模型充电状态 充电状态

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