1. A system for monitoring and predicting the condition of a power system of a remote vehicle, the system including memory, and comprising: a component model residing in the memory and constructed using power system modeling over both short time scales and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system; an inference engine utilizing the component model and sensor data including at least a temperature of the power system to make predictions about a state of charge of the power system and a likelihood of failure of the power system; and an action selection component that selects an action to mitigate a potential failure based on an output of the inference engine.