Advancements in Autonomous Battery Monitoring: A System with Auto-Return Home Integration

Abstract

As the adoption of autonomous systems continues to proliferate in various industries, the need for reliable and efficient battery monitoring solutions becomes increasingly crucial. This paper presents the development and implementation of an innovative Autonomous Battery Monitoring System (ABMS) equipped with Auto-Return Home Integration (ARHI). The proposed system addresses the limitations of existing battery monitoring technologies by combining real-time data analysis, autonomous decision making, and the ability to return autonomously to a charging station when necessary. Furthermore, the ABMS incorporates adaptive charging algorithms that optimize the charging process based on historical usage patterns, reducing energy waste and extending battery lifespan. Additionally, the system offers remote monitoring and control capabilities, allowing operators to oversee multiple autonomous systems equipped with ABMS from a centralized interface. In practical applications, the ABMS with ARHI integration has demonstrated significant improvements in the reliability and autonomy of battery-powered systems, particularly in industries such as unmanned aerial vehicles (UAVs), robotics, and autonomous ground vehicles. The ability to proactively address battery issues and seamlessly integrate autonomous return-to base functionality enhances operational safety, reduces operational costs, and extends the overall lifespan of battery packs. Atmega328 microcontroller, wireless data module HC-12 model is used with transmitter and receiver and system application. The microcontroller control or handles the analog to digital conversion, the wireless module handles data transmission between transmitter and receiver, while the system application collects, store the continue data entrance to the receiver into Microsoft excel, display the data in system screen and also, plot graph with the stored data.