Learning policies for battery usage optimization in electric vehicles

被引：0
|
作者：
Stefano Ermon
Yexiang Xue
Carla Gomes
Bart Selman
机构：
[1] Cornell University,Department of Computer Science
来源：
Machine Learning | 2013年 / 92卷
关键词：
Reinforcement learning; Computational sustainability; Regression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The high cost, limited capacity, and long recharge time of batteries pose a number of obstacles for the widespread adoption of electric vehicles. Multi-battery systems that combine a standard battery with supercapacitors are currently one of the most promising ways to increase battery lifespan and reduce operating costs. However, their performance crucially depends on how they are designed and operated.
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页码：177 / 194
页数：17
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