Reactive replenishable device management
Reactive replenishable device management comprises receiving device measurement data from at least one device, updating one or more device usage profiles associated with the at least one device, and if an analysis of the one or more device usage profiles indicates usage of the at least one device is sub-optimal, performing one or more of: controlling at least one of an attribute or an operation of the at least one device, issuing one or more device management recommendations to a user of the at least one device, and issuing one or more user alerts to the user. The at least one device comprises at least one of one or more replenishable devices, one or more replenishers associated with the one or more replenishable devices, and one or more other devices associated with the one or more replenishable devices.
1. A method for dynamic control of one or more devices based on device measurement data received from the one or more devices, the method comprising:
receiving device measurement data from:
a replenishable device,
a replenisher associated with the replenishable device, and
a vehicle associated with the replenishable device, the device measurement data including (a) identification data, (b) historical data, and (c) real-time data for each of the replenishable device, the replenisher, and the vehicle;
updating a usage profile associated with vehicle energy usage using the device measurement data received from the replenishable device, the replenisher, and the vehicle, the usage profile comprising performance data of both the replenishable device and the vehicle gathered over a period of time; and
analyzing the usage profile to determine whether vehicle energy usage is sub-optimal, wherein when it is determined that vehicle energy usage is sub-optimal, an automatic controller of a remote device manager which is remote from and operationally coupled to the vehicle automatically controls a performance level of the vehicle.
2. The method of claim 1 wherein the device measurement data comprises:
identification data that describes one or more time-invariant attributes of the vehicle;
historical data that describes one or more time-variant attributes of each of the replenishable device and the vehicle; and
real-time data that describes a single sample of one or more time-variant attributes of each of the replenishable device and the vehicle.
3. The method of claim 1 , the method further comprising:
receiving time variable data entered via a manual input means, the time variable data defining a utility schedule; and
using the data received from the vehicle, the replenishable device, and the manual input means to automatically control the replenisher during a replenishing of the replenishable device of the vehicle to account for the utility schedule.
4. The method of claim 1 , wherein
the replenishable device comprises a battery; and
the automatic controller identifies a low water level of the battery and triggers a command to a watering system that effectuates automatic watering of the battery.
5. The method of claim 4 , wherein the automatic controller identifies a low state of charge of the battery and triggers a reduction of temperature fold back in small steps per week.
6. The method of claim 4 , wherein the automatic controller identifies a sub-optimized charging regimen of the battery and triggers an adjustment of battery charge rates.
7. The method of claim 4 , wherein the automatic controller identifies a sub-par battery performance and automatically initiates unscheduled battery equalization.
8. The method of claim 1 wherein the device measurement data comprises:
identification data that describes one or more time-invariant attributes of the vehicle;
historical data that describes one or more time-variant attributes of each of the replenishable device and the vehicle; and
real-time data that describes a single sample of one or more time-variant attributes of each of the replenishable device and the vehicle.
9. A method for reactive replenishable device management, the method comprising:
receiving device measurement data from:
a replenishable device,
a replenisher associated with the replenishable device, and
a vehicle associated with the replenishable device;
updating a device usage profile associated with vehicle energy usage using the device measurement data received from the replenishable device, the replenisher, and the vehicle, the device usage profile comprising performance data of the replenishable device and the vehicle gathered over a period of time; and
analyzing the usage profile to determine whether vehicle energy usage is sub-optimal, wherein when it is determined that vehicle energy usage is sub-optimal, an automatic controller of a remote device manager which is remote from and operationally coupled to the vehicle automatically controls a performance level of the vehicle.
10. The method of claim 9 wherein the device measurement data comprises:
identification data that describes one or more time-invariant attributes of the vehicle;
historical data that describes one or more time-variant attributes of each of the replenishable device and the vehicle; and
real-time data that describes a single sample of one or more time-variant attributes of each of the replenishable device and the vehicle.
11. The method of claim 2 , the method further comprising:
receiving time variable data entered via a manual input means, the time variable data defining a utility schedule; and
using the data received from the vehicle, the replenishable device, and the manual input means to automatically control the replenisher during a replenishing of the replenishable device of the vehicle to account for the utility schedule.
12. The method of claim 2 , wherein
the replenishable device comprises a battery; and
the automatic controller identifies a low water level of the battery and triggers a command to a watering system that effectuates automatic watering of the battery.
13. The method of claim 12 , wherein the automatic controller identifies a low state of charge of the battery and triggers a reduction of temperature fold back in small steps per week.
14. The method of claim 12 , wherein the automatic controller identifies a sub-optimized charging regimen of the battery and triggers an adjustment of battery charge rates.
15. The method of claim 12 , wherein the automatic controller identifies a sub-par battery performance and automatically initiates unscheduled battery equalization.