Learning policies for battery usage optimization in electric vehicles

作者:Stefano Ermon, Yexiang Xue, Carla Gomes, Bart Selman

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.

论文关键词:Reinforcement learning, Computational sustainability, Regression

论文评审过程:

论文官网地址:https://doi.org/10.1007/s10994-013-5378-z