Battery Thermal Image Sequence Processing

The operating temperature of a lithium-ion battery is one of the key factors significantly affecting its performance. Heat is generated within the battery during the charging and discharging processes. On the other hand, battery internal faults lead to an increase in their temperature. Therefore, monitoring battery temperature can aid the identification of these faults and warn of their presence prior to the occurrence of permanent thermal damaging. When the battery heats up, at best there will be some mechanical distortion of the battery surface or changes in its chemical composition. In the worst case, the battery may burst, explode, or leak electrolytes. This paperpresents a specialized software, developed for the analysis of thermographic images of batteries, via which extraction and visualization of necessary information regarding the resulting temperature changes over the entire battery surface or certain parts of it is made possible. Python version 3.9 was used during the software development. This software can successfully beimplemented in systems aimed towards monitoring and controlling the temperature of batteries and evaluating their state of health and remaining useful life.