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Updated: Jan 8, 2026

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适应性深度Q网络用于准确估计电动汽车续航里程

Urvashi Khekare1, Rajay Vedaraj I S2

  • 1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Frontiers in big data
|December 15, 2025
PubMed
概括

本研究引入了用于电动汽车 (EV) 续航里程预测的深度强化学习框架,显著减少续航里程误差并提高准确性. 这种新的方法通过可扩展和智能预测来解决范围焦虑,从而提高了EV采用率.

关键词:
深度强化学习的学习.驾驶范围的驾驶范围电动汽车参数 电动汽车参数模糊的k-平均算法算法路径查找器优化优化充电状态 充电状态

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