Designing a Graphical User Interface for Energy Prediction and Data Analysis for Volvo Group

Abstract

This Bachelor’s Thesis report presents the development of an application that uses Volvo Group’s Energy Prediction Algorithm (EPA) to simulate electric truck journeys and support users with data analysis. The target audience, primarily project managers at Volvo Group, can run simulations with custom truck and route configurations, enabling data-driven decision-making. The application can also be used by engineers and data scientists, forming the secondary target audience, to seamlessly carry out simulations and analyze the results to support their daily operations. The project focuses on maximizing usability by applying relevant user interface design theory, including design principles and patterns. The application is refined iteratively through continuous feedback from a user group representing the target audience. This approach ensures that theoretical insights guide the user experience design while the consistent dialogue with users keeps the application aligned with their needs.