Electric vehicle parameters estimation using Web portal

Altaf O. Mulani

Abstract

The shift to electric vehicles (EVs) requires precise parameter estimate, which is essential for comprehending EV performance and enhancing user experience. The concept and execution of a web portal for evaluating important electric car parameters are presented in this article. Without the need for specific software or knowledge, the portal provides a user-friendly platform for individuals and companies to learn about the characteristics of electric vehicles. The website makes it easier to estimate crucial EV characteristics like battery size, efficiency, range, and charging time. Using empirical data, mathematical models, and perhaps machine learning algorithms, the portal allows users to enter pertinent information including driving conditions, vehicle specs, and charging infrastructure specifics. The portal's backend is designed to manage intricate computations and data processing, guaranteeing precise estimation outcomes. Database integration may make it possible to store user inputs, historical data, and model changes for ongoing development. The online portal's front-end uses HTML, CSS, and JavaScript to create an easy-to-use and dynamic user experience. Users are guided through the input process by the interface, which also shows the estimation findings in an understandable format. It may be beneficial to include visualization tools to improve the user's comprehension of the calculated parameters.

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