Exploring the Mitigation of Temperature Impacts on Electric Vehicle Charging Rates using EVI-EnSitePy

Electric vehicle (EV) charging speeds and their effective range are significantly influenced by extreme temperatures, impacting the performance and operations of high-power charging (HPC) facilities. This paper presents EVI-EnSitePy, a tool designed for data-based simulation of EV charging infrastructure, to investigate these effects. EVI-EnSitePy enables detailed analysis of various factors impacting HPC facility operations, including the integration of temperature-dependent EV charging profiles. This study demonstrates how cold temperatures can reduce charging rates, leading to longer charging times and increased EV wait times. Two use cases are presented, showcasing how EVI-EnSitePy can evaluate the impact of temperature on HPC facility operation and explore design and control strategies to mitigate these effects. By incorporating temperature-dependent EV charging profiles, EVI-EnSitePy enables accurate modeling of real-world conditions, aiding in the design and optimization of HPC facilities for improved performance and customer satisfaction.