Zgadzam się
Nasza strona zapisuje niewielkie pliki tekstowe, nazywane ciasteczkami (ang. cookies) na Twoim urządzeniu w celu lepszego dostosowania treści oraz dla celów statystycznych. Możesz wyłączyć możliwość ich zapisu, zmieniając ustawienia Twojej przeglądarki. Korzystanie z naszej strony bez zmiany ustawień oznacza zgodę na przechowywanie cookies w Twoim urządzeniu.
The project/research was financed in the framework of the project Lublin University of
Technology-Regional Excellence Initiative, funded by the Polish Ministry of Science and Higher
Education (contract no. 030/RID/2018/19).
The core of the research focuses on analyzing the discharge characteristic of a lithium NMC
battery in an autonomous mobile robot, which can be used as a model to predict its future states
depending on the amount of missions queued. In the presented practical example, an autonomous
mobile robot is used for in-house transportation, where its missions are queued or delegated to
other robots in the system depending on the robots’ predicted state of charge. The system with the
implemented models has been tested in three scenarios, simulating real-life use cases, and has been
examined in the context of the number of missions executed in total. The main finding of the research
is that the battery discharge characteristic stays consistent regardless of the mission type or length,
making it usable as a model for the predictive monitoring system, which allows for detection of
obstruction of the default shortest paths for the programmed missions. The model is used to aid
the maintenance department with information on any anomalies detected in the robot’s path or the
behavior of the battery, making the transportation process safer and more efficient by alerting the
employees to take action or delegate the excessive tasks to other robots.
