论文标题
锂离子电池充电计划优化以平衡电池使用率和降解
Lithium-Ion Battery Charging Schedule Optimization to Balance Battery Usage and Degradation
论文作者
论文摘要
这项工作可在考虑联合收入和电池退化模型的同时优化锂离子电池充电计划。该研究扩展了Meheswari等人的工作。 al。根据能源成本预测，以最佳的间隔鼓励使用/充电。本文利用Nesterov动量梯度下降来达到最佳充电策略，并处理电池降解模型的非线性。根据恒定的随机价格预测和新型的高斯流程成本预测模型测试了这种优化策略。与许多有关电池充电的其他论文相反，将时间表优化作为多元优化问题，为这两个竞争目标之间的固有平衡提供了有意义的见解。
This work optimizes a lithium-ion battery charging schedule while considering a joint revenue and battery degradation model. The study extends the work of Meheswari et. al. to encourage battery usage/charging at optimal intervals depending on energy cost forecasts. This paper utilizes central difference Nesterov momentum gradient descent to come to optimal charging strategies and deal with the non-linearities of the battery degradation model. This optimization strategy is tested against constant, random varied price forecasts and a novel Gaussian process cost forecasting model. Contrary to many other papers regarding battery charging, formulating schedule optimization as a multivariate optimization problem provides meaningful insight to the inherent balance between these two competing objectives.
