The field of electric vehicle charging infrastructure and logistics is rapidly evolving, with a focus on optimizing charging networks, route planning, and demand estimation. Researchers are exploring innovative approaches to address the challenges of managing charging infrastructure, including the use of clustering algorithms, genetic algorithms, and spatial point-of-interest analysis. Noteworthy papers in this area include:

• A study on smart routing for EV charge point operators in mega cities, which presents an integrated method to optimize the planning of EV charging network maintenance operations.
• A paper on electric vehicle charger infrastructure planning, which proposes a two-phase approach for EV charger deployment that integrates spatial point-of-interest analysis and maximum coverage optimization over an integrated spatial power grid.
• A real-time coordination framework for electric autonomous mobility-on-demand systems, which prevents potential overload and undervoltage in the power system. These studies demonstrate the potential for significant improvements in the efficiency and scalability of electric vehicle charging infrastructure and logistics, and highlight the importance of continued innovation in this field.