  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.
