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Updated: Jan 8, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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优化热电能收获,使用深度强化学习来实现动态能源管理和系统效率的优化

Chirayu Nilesh Chaudhari1, N J Rtamanyu1, Naga Sai Shreya Kunda2

  • 1Department of Artificial Intelligence, Amrita School of Artificial Intelligence, Bengaluru, Amrita Vishwa Vidyapeetham, Bengaluru, India.

Scientific reports
|December 13, 2025
PubMed
概括

深度强化学习 (DRL) 优化了热电发电机 (TEG) 的能源管理. 软演员-关键 (SAC) 在性能和能量满足方面表现出色,而其他算法则优先考虑电池寿命.

关键词:
深度强化学习 (DRL) 是一种深度强化学习.能源管理 能源管理邻近政策优化 (PPO)智能电网是一个智能电网.柔软的演员-批评 (SAC) 的一个例子.热电发电机 (TEG) 是一种热电发电机.

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