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.
翻译:这项工作优化锂离子电池充电计划,同时考虑联合收入和电池降解模式。研究扩展了Meheswari等人的工作,鼓励电池使用/根据能源成本预测以最佳间隔提供电池。本文利用Nesterov动力梯度下降中心差异,以最佳充电战略,处理电池降解模式的非线性。这一优化战略是参照不变、随机价格变化预测和新型高斯工艺成本预测模型测试的。与许多其他关于电池充电的文件相反,将时间表优化作为一种多变量优化问题,为这两个相互竞争的目标之间的内在平衡提供了有意义的洞察力。