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Working principle of IoT batteries

2026-04-06 05:29:35 · · #1

The Internet of Things (IoT) is a new network that innovates upon the internet, enabling information exchange and data communication between different devices. IoT batteries are specifically designed and manufactured for the IoT. Sensors provide power to the battery. Since the concept of the IoT was proposed, although research has made some breakthroughs, the overall process has been very slow. A leading domestic battery manufacturer has launched the world's first IoT battery – Chuanying. Connected batteries immediately come to the forefront.

As we all know, there are many appliances connected to the Internet of Things (IoT), such as smart car keys, unattended computer rooms, smart door locks, smart medical devices, and smart sensor devices. In many cases, there is no external power source; only batteries can power them. The power consumption of gateways and data transmission differs, thus placing higher demands on the overall safety, lifespan, and stability of the battery. The advent of batteries seems to have achieved a breakthrough in this regard.

Compared to ordinary batteries, the IoT battery technology is truly remarkable. A unique negative electrode gold plating process (also known as a gold base) significantly reduces internal resistance, making the battery's overall conductivity stronger and more unique. The MAX high-capacity design greatly improves the battery's overall capacity. A new U-shaped sealing process and unique triple leak-proof technology have made battery leakage a thing of the past. The 3V high-energy lithium battery boasts stronger pulse power. It's also more durable for long-distance remote control... Reportedly, this new IoT battery features 41 process upgrades and 17 new patented technologies, far exceeding the technological content of ordinary lithium batteries and lead-acid batteries.

This IoT battery has been tested and proven to be widely applicable in smart homes, smart medical devices, security monitoring, automotive IoT, and electronic toys. Its durability far exceeds that of international competitors by 20%, and its control distance even exceeds 50 meters. Furthermore, its sensitive response speed is improved by nearly 20%, which plays a crucial role in driving the development of gaming consoles and the entire IoT technology ecosystem. I believe that in the near future, more and more IoT batteries will enter our lives.

While IoT sensor nodes may use energy harvesting to generate power, the available energy is limited and often unreliable. Sensor nodes typically require some form of temporary energy storage to be ready when they need to wirelessly read or send messages. One option is to provide small rechargeable batteries or storage capacitors. However, these storage mechanisms have their own drawbacks that limit their practicality: rechargeable batteries wear out after hundreds of charge-discharge cycles and need to be replaced, and supercapacitors not only change their characteristics over time but also self-discharge rapidly. Self-discharge can be as high as 20% per day, resulting in a significant amount of converted energy being wasted. To ensure power can be provided throughout the entire lifecycle of an IoT product, a primary battery may be necessary. This can be supplemented by combining energy harvesting and storage subsystems. By using harvesting, the lifespan of a sensor node can be extended until its main battery is depleted and the node itself needs to be replaced or discarded.

The power consumption curve of a sensor node tends to follow a model that typically limits node activity to short pulses, usually using sensor readings. If the readings exceed the expected range, an alarm is sent via a wireless link. At all other times, most electronic devices will be in a low-power sleep mode. Therefore, power consumption will appear as a series of pulses, which may have different heights and durations depending on the number of circuits active at any given time.

Battery chemistry is a critical consideration for the main power supply of IoT systems, as it strongly interacts with usage patterns and overall circuit design. While this can be addressed by using supercapacitors to provide a buffer between the main battery and circuit demands, some chemistry offers long-term energy storage but is adversely affected by peak demand. Other chemistry may provide sudden energy pulses to help drive longer RF transmissions but cannot offer such long storage lifetimes, thus limiting the lifespan of sensor nodes. Discharge voltage is also a significant consideration – it drops below the nominal voltage, which must be addressed by the circuit design. For example, a battery's rated output might be 1.5 V and 0.9 V when almost fully discharged below its rated voltage. If the circuit cannot operate at voltages below 1 V, the battery will not be able to deliver its rated energy due to the final reservoir. The device becomes unusable. For most chemistry, decay is typically faster at the end of the discharge curve, thus effectively extracting 90% of the energy. However, checking the discharge curve is important because lithium batteries generally retain a higher voltage than alkaline batteries over time. A higher voltage at the end of its lifespan, or the assumption that 10% to 20% of the battery is being wasted, is a significant factor. The efficiency loss associated with using a boost converter is likely a reasonable trade-off, thus almost all available capacitor primary battery chemistry can be extracted. These are divided into two categories: lithium-based and zinc-based, although these subcategories can have completely different properties. Currently, three main zinc-based chemicals are in production. While zinc-air batteries have a high self-discharge rate, their energy density is only about 1.7 MJ/kg, so they are generally excluded. Typically, the cells are only effective for a few months. Therefore, alkaline batteries based on a combination of manganese dioxide and zinc powder offer a more attractive option. Alkaline battery technology has been widely used in low duty cycle applications with characteristics similar to IoT sensor nodes, such as smoke detectors.


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