Abstract: A multiple energy storage device fuel gauge is described for a device having a power system with multiple heterogeneous energy storage devices. The fuel gauge keeps track of a present state of multiple heterogeneous energy storage devices simultaneously. The fuel gauge implements collective measurement of voltage and current of the multiple heterogeneous energy storage devices via shared circuitry to determine status information, such as state of charge (SOC) and internal resistance values. A controller of the fuel gauge uses various measurements and energy storage device-specific parameters to compute status values indicative of the state of each energy storage device. The status values are maintained by the fuel gauge and exposed to other system components to facilitate power management decisions. A communication bus is used to communicate between the fuel gauge and system components, and a software API may be exposed to facilitate access to various energy storage device specific information.

Abstract: Device charging discovery service techniques are described in which a service collects data regarding charging station availability (e.g., locations where device batteries can be charged) through interaction with a community of devices. Devices provide feedback to the service when charging stations are encountered. The service maintains a database of charging stations that is based upon the community feedback. The database is then used to respond to requests for charging station availability. For instance, the service forms individualized recommendations according to the device location, charge level, behavior data, and other device conditions. The service then communicates recommendations to enable output of the recommendations at corresponding devices. Recommendations can provide information regarding charging station locations as well as the type of power source, charging capabilities, costs to charge, and other factors.

Abstract: This document describes techniques and apparatuses of load allocation for multi-battery devices. In some embodiments, these techniques and apparatuses determine an amount of load power that a multi-battery device consumes to operate. Respective efficiencies at which the device's multiple batteries are capable of providing power are also determined. A respective portion of load power is then drawn from each of the batteries based on their respective efficiencies.

Abstract: Heterogeneous battery cell charging techniques are described for a device having a battery system with heterogeneous battery cells. A control system is provided that is configured to determine a charging strategy for charging the heterogeneous battery cells based upon an analysis of a plurality of contextual factors. For example, contextual factors may indicate anticipated future load conditions, battery usage preferences established for the battery system, and/or other factors indicative of an overall context in which charging occurs. Different charging strategies that indicate which battery cells to charge and the way in which charging is to be conducted may be mapped to different combinations of the contextual factors such that the charging is dynamically tailored to different contexts. A selected charging strategy is then employed to distribute charging current from a power source among the heterogeneous battery cells in the manner designated by the selected charging strategy.

Abstract: Heterogeneous battery cell switching techniques are described for a device having a battery system with heterogeneous battery cells. A control system is provided that is configured to implement a policy for switching a load for the device between the heterogeneous battery cells. The switching may involve selecting between multiple different modes supported by the device based on an assessment of an operational context for the device. Modes available for a heterogeneous battery cell system may include but are not limited to different modes to connect one of the multiple heterogeneous battery cell at a time to service the load, rapidly switch among the multiple heterogeneous battery cells to service the load by drawing a percentage of the overall load from each cell, and/or draw a set amount of current from each of the multiple heterogeneous battery cells to service the load.

Abstract: Techniques for battery assembly combining multiple different batteries are described herein. Generally, an example battery assembly includes multiple individual batteries of differing sizes and capacities. In at least some embodiments, the individual batteries are connected to a battery interface that presents the multiple batteries as a single integrated power source.

Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.

Abstract: This document describes techniques and apparatuses for suppressing power spikes. In some embodiments, these techniques and apparatuses determine an available amount of power that a battery is capable of providing while maintaining a particular voltage level and a requisite amount of power that components will consume to perform a task. When the requisite amount of power exceeds the available amount of power, power states of the components are altered effective to enable the battery to maintain the particular voltage level.

Abstract: This document describes techniques and apparatuses for estimating battery cell parameters. In some embodiments, these techniques and apparatuses enable the isolation of a battery cell from other battery cells. Voltage levels of the isolated battery cell are measured while varying amounts of current are drawn from the cell. Parameters of the isolated battery cell can then be estimated based on the measured voltage levels and various amounts of current that are drawn from the cell.

Abstract: Various embodiments provide techniques and devices for scheduling power loads in devices having multiple batteries. Loads are characterized based on the power required to serve them. Loads are then assigned to batteries in response to the type of load and relative monitored characteristics of the batteries. The monitored battery characteristics can change over time. In some embodiments, stored profile information of the batteries can also be used in scheduling loads. In further embodiments, estimated workloads can also be used to schedule loads.