Smart Navigation Solutions for Efficient Electric Vehicle Charging and Route Planning

Abstract

The fast increase in the adoption of electric vehicles (EVs) has made more intelligent navigation systems required that are not only can guide users efficiently, but also covers charging availability, electricity life, and car-related demands. A key challenge lack of incorporated platforms that support EV users is faced route planning with charging in realtime with a flock of vehicles and real-time operational information. This paper smart navigation and charging system of Electric vehicles have been built on a Python Flask back end and a web-based frontend which responds to the back-end developed with HTML, CSS and JavaScript. The proposed system will use geocoding and reverse geocoding procedures to transform user based locations to geographic coordinates so that it can be spatially processed accurately. The Haversine formula is used in doing distance computing to workout the best way and find the closer charging stations according to approachingness and accessibility. Interactive map visualization is done by using Leaflet Maps where the users can view station positioning and route systems in a transparent and user-friendly manner. The system besides routing includes other functionalities such as routing has a multi-vehicle profile management module that has the ability to create and control various electric cars with single account, and different battery capacity, range, and charging characteristics. A battery health monitoring agent pre-charges charges and estimations battery degradation, tracks charge cycles providing numerical, as well as graphical, trends in support informed decisions on maintenance. To enhance user convenience and clear the managing stations, a safe payment interface is incorporated incharging slots reservation. Experimental testing in various settings of navigation and charging has better route clarity, less user effort and increased decision-making over traditional navigation systems. Scalability of the modular client server architecture efficiency, effective management ofdata and integration of other services. In general, the suggested system would bring about a coherent and integrated system. Smart electric vehicle navigation is an extensible solution to navigate accusing management and acting as a pragmatic basisof applications of EV mobility in the future.