Betting on Batteries (Part2)

by Joshua Israelsohn
Contributing Technical Editor
February 15, 2008

The last installment of The Casual Observer examined batteries–the oft-maligned portable energy source on which many of our modern electronic devices depend. I observed then that, kilogram for kilogram, modern cells are the most space- and mass-efficient portable sources of electrical energy to which we have ready access. One possible cause for their poor reputation is that we tend to think of them as voltage sources–a role they play rather poorly. But as energy sources with unregulated voltage outputs they are more attractive with energy densities ranging from about 144 to nearly 600 kJ/kg.

Unfortunately, a battery's capacity is nonlinearly parametric in output current, temperature, and charge-cycle count. This behavior, even over a conservative range of operating conditions, can make estimating their remaining charge difficult, which is where battery fuel gauge ICs come in. Fuel gauge ICs have been around for many years, but trends in a few applications have pushed some of them to a level of sophistication not in evidence in their earlier generations.

At present, there are two common approaches to fuel gauging: The oldest is the coulomb counter. This device integrates current to track the charge into and out of the battery:
 


This approach would work fine by itself if batteries were made of ideal cells. They are not, however, and straight coulomb counters, as a result, offered poor to marginal accuracy. Modern day coulomb counters, however, improve significantly on the basic design by including various combinations of temperature, load-current, and cell-aging compensation to better model cell behaviors. The second approach measures the battery's output impedance and compares the measurement with characterization data developed in cooperation with the cell manufacturer. Examples of both methods include zero-current (or near-zero-current) voltage measurements to tighten the correlation between battery models and actual battery behavior.

Battery fuel-gauge ICs currently available claim accuracies from about 1 to 6% depending on model. The real attainable accuracy is difficult to assess, in all candor, because most devices' spec tables report only the accuracy of their various measurement capabilities but not the conformance of the remaining-charge prediction to the pending experience. Although there is not a strict correlation the general trend is that greater claims of accuracy accompany devices that require more complex or proscribed design-in procedures. These include larger software loads and more narrowly defined cell sources to minimize the spreads in cell-model parameters.

At the OEM level, the current use of battery fuel-gauges appears to significantly lag current ICs' capabilities. With the exception of laptop-computer batteries, which include gauges within the cell packs and reporting software available on the desktop, few portable devices offer charge-state information to the user at a resolution commensurate with gauge ICs' claimed accuracy. Remarkably, this is true despite evidence that suggests that the devices themselves depend on greater resolution for internal monitoring and control functions than they report to the user:

Like laptop computers, PDAs, wireless handsets, and other portable devices that provide data-intensive functions require an orderly shutdown to prevent data loss. For these devices, the charge-state data that battery gauges provide help the system supervisor initiate a shutdown process while sufficient charge remains to ensure no data loss. Depending on the device and the size of its battery, the shutdown may initiate with as much as 5 to 10% reserve capacity. Good gauging accuracy allows users greater run time per charge cycle by providing more reliable charge-reserve estimates.

Whether they cost $30 or $300, wireless-handset displays, however, rarely show the user more than a four-segment indicator–a resolution of 25% with none of the interpolation possible with analog indicators like your automobile's fuel gauge. So, though the system may track the battery charge to something in the neighborhood of five times the displayed resolution, users don't get the benefit of those measurements to guide their usage decisions. Rather than risk an ill-timed end of a discharge cycle, many users tend to recharge their portable devices early in the cycle's second half. This behavior can reduce the user's perception of per-charge runtime and, as a result, needlessly reduce customer satisfaction.

 Systems equipped with battery gauges usually present charge-state information to users in one of two modes. Most commonly seen on laptop computers, one mode presents the charge state in terms of remaining runtime. Wireless handsets, digital cameras, and other portable devices usually preset charge-state information in terms of the fraction of full charge remaining. Of the two, my experience is that the former is essentially useless and the latter is quite helpful, particularly if the display resolution is, say, in increments of 10% or smaller.

The problem with interpreting the battery's charge reserve in terms of remaining runtime is that it forces a calculation based on operating conditions that will not hold steady for the duration of the discharge cycle. Indeed, if one thing can be said about this kind of display it is that it is guaranteed to be wrong. The error is greatest at full charge and tends to get better as the system approaches its end-of-charge point. Of course, at the end-of-charge point the estimate is both correct and irrelevant. This behavior parallels that of an automotive GPS system's ETA (estimated time of arrival) display. At the beginning of a journey the ETA error is large because the system bases its calculation on driving-speed assumptions that do not necessarily reflect the prevailing driving conditions. The estimate continuously improves as the progress along more of the path becomes a matter of experience and less of it remains in the realm of prediction until you reach your destination at which point the calculation becomes both perfect and perfectly useless.

Expressions of charge state in fractional terms of a full charge are less ambiguous and more useful to users. This display parallels your car's fuel gauge, which reports the amount of fuel in the tank, not the distance you might yet travel on the reserve.

Not all portable devices benefit equally from fuel gauging and not all gauging techniques come with equal design-in and BOM costs. Examine the value that gauging brings to your product and consider the incremental value of accuracy within the contexts of both the system's and operator's uses for the information.

For this sort of exercise, I tier portable applications into four levels. The top tier comprises battery-powered devices upon which human life or safety may depend. This category might include dramatic examples such as portable medical equipment but I'd also include less exotic systems such as GPS navigational devices.

Devices that depend on an orderly shutdown at the end of a discharge cycle populate my second tier. These devices often operate with file systems that can sustain damage if the system's energy supply fails unexpectedly. This category includes devices such as laptop computers, PDAs, and multifunction wireless handsets.

The third tier comprises devices that capture data. This group includes common consumer electronic devices such as digital cameras, video recorders, and audio recorders. It also includes battery-powered measurement subsystems such as remote utility meters and industrial monitoring equipment.

The last tier includes devices that present or display information already captured in some stable storage medium. These include portable media players and other devices the interruption of which are least likely to cause loss or harm.

Like many perspectives, this one has limits on its applicability. For example, though smoke detectors and carbon-monoxide alarms clearly fit into my top tier, a simple and conservative threshold detection circuit might better serve the end-user than the most accurate battery gauge: In applications like these, keeping the final product costs down improves the likelihood that consumers will deploy and periodically replace the devices. Improving the market penetration of such safety devices is certainly worth sacrificing even a large fraction of a battery's charge cycle–a tradeoff that exemplifies how each application suggests its own valuation of battery fuel-gauging ICs.