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How to extend battery life of IoT sensors

Posted: 14 Aug 2015     Print Version  Bookmark and Share

Keywords:Wireless sensors  battery  RF power amplifier  DMM  oscilloscope 

Wireless sensors offer great insights in applications such as monitoring environmental conditions or industrial plants and machinery. Because they are simple to install, they can be deployed in a multitude of situations. But one of the factors that most limits the use of wireless sensors is their limited ability to do the job for a reasonable amount of time.

When a wireless sensor's operation is fully dependent on a battery, and the battery is depleted, it becomes just a piece of junk.

If you are designing battery-operated wireless sensors, you face numerous challenges in ensuring your devices operate for a reasonable amount of time. The typical approach is to use energy for just the required activity, then put the device in low-power-use mode. The operation of a wireless sensor can be segmented in a series of activities, each one requiring a certain level of power for a certain amount of time. The most common activities:
 • Waking up, taking a measurement and processing data into a message
 • Powering up the RF power amplifier, transmitting the message, and powering the RF PA down again
 • In bidirectional sensors (transmit and receive): waking up, powering up the receiver, receiving, processing data, acting on a message, and powering back down

It is easy to see that multiple actions play a role in discharging the battery.

The simplest way to increase the battery life is to use a bigger battery, a battery with higher capacity. Nevertheless, your customers are likely to expect their sensors to be small and to offer high performance (so they can send lots of data and have local intelligence/data crunching capability). Clearly, your customer expectations are diametrically opposed to the easiest way to solve the issue of short battery life.

How do engineers estimate battery life?
As a design engineer, you need to start making compromises and find the balance between battery size and the wireless sensor's functionality to get the best performance from a small battery with a sufficiently long time interval between battery replacements.

The optimisation process starts by understanding the energy requirements. Gathering data about energy usage is the first step to characterizing device performance.

A battery has a defined amount of energy, specified in Watt hours (Wh) and capacity, specified in amp hours (Ah). If you know how much power is required to operate your device, you can calculate the battery life.

Battery life (hours) = Battery capacity (Wh) / Average power drain (W)

The battery's energy is also the product of its voltage rating (V) and capacity (Ah). The voltage rating is a midpoint value on the battery's discharge curve empirically determined to correctly relate the battery's energy and capacity. Based on this, battery life can also be determined by the formula:

Battery life (hours) = Battery capacity (Ah) / Average current drain (A)

However, when the device is in real operation, the battery life is typically shorter than the number you calculated. The most common comment is: "the battery quality is bad." Representatives for big battery brands will offer detailed specifications and explain that among batteries of the same type, it is common to have capacity variations of 5 to 10 per cent.

But even using conservative battery capacity estimates, battery life typically falls short. The device dies before it is expected to. Why does this happen? Did we correctly estimate energy usage? Probably not. Let's explore the problem.

The complexity of measuring dynamic current drain
In battery-powered devices like wireless sensors, to save energy the device sub-circuits are active only when required. Engineers design the device to spend most of its time in a sleep mode with minimum current drain. During sleep mode, only the real-time clock operates. The unit then wakes up periodically to perform measurements. The acquired data is then transmitted to a receiving node.

Figure 1: Current levels during the three main states of a wireless sensor.

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