| 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.
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