4S Battery Hardware Desing

• Tech Stack: Kicad, EasyEDA, C/C++

• Members: Me

To implement the machine learning model mentioned in the SoH prediction project, we need a real-time acquisition system.

The hardware is divided into three parts: one responsible for load balancing, overload cutoff, and monitoring, which acquires the data.

Data acquisition is done via a C/C++ code on the device, which will have a simple microcontroller available.

The microcontroller responsible for this acquisition is called the Arduino Nano, a simple hardware that marks the start of the MVP for the patent to be released.