Overview
In many applications, lithium batteries are used as our power solutions.
In this kind of application, the most two important things are the power boost and battery charger. These two points are a prerequisite for the system.
The traditional power boost and battery charge circuit are usually divided into two separate parts, the circuit will be relatively cumbersome to build.
The Monolithic Power Systems (MPS) MP2636 is highly-integrated, flexible switch-mode battery charger with system power path management, designed for single-cell Liion or Li-Polymer batteries used in a wide range of portable applications.
It is really simple to use, once you plug a lipo battery, it will work like a power bank.
When there is an external power supply from VIN, it will charge the battery automatically, and the CHG led will light up; when there is no external power, only battery on battery port, the Boost will be ON.
Tech specs
- Charge mode input voltage (VIN): 4.5-6.0V
- Boost mode output voltage (VOUT): 5V
- Suitable for battery voltage: 4.2V (3.7V lithium battery full of 4.2V)
- Charge mode Maximum charge current: 2.5A
- Boost mode Maximum output current: 2.5A
- Switching frequency: 600KHz
- Charging mode efficiency:> 90%
- Boost mode efficiency:> 90%
- Support battery overcharge protection
- Temperature protection: more than 150 ℃, automatic power failure
Get Inspired
As Jallson Suryo discusses in his project, adding voice controls to our appliances typically involves an internet connection and a smart assistant device such as Amazon Alexa or Google Assistant. This means extra latency, security concerns, and increased expenses due to the additional hardware and bandwidth requirements. This is why he created a prototype based on an Arduino Nicla Voice that can provide power for up to four outlets using just a voice command. Suryo gathered a dataset by repeating the words “one," “two," “three," “four," “on," and “off” into his phone and then uploaded the recordings to an Edge Impulse project. From here, he split the files into individual words before rebalancing his dataset to ensure each label was equally represented. The classifier model was trained for keyword spotting and used Syntiant NDP120-optimal settings for voice to yield an accuracy of around 80%. Apart from the Nicla Voice, Suryo incorporated a Pro Micro board to handle switching the bank of relays on or off. When the Nicla Voice detects the relay number, such as “one” or “three," it then waits until the follow-up “on” or “off” keyword is detected. With both the number and state now known, it sends an I2C transmission to the accompanying Pro Micro which decodes the command and switches the correct relay. To see more about this voice-controlled power strip, be sure to check out Suryo’s Edge Impulse tutorial.