Stellantis UXD Design:

The future of EV Energy Management

2030 Multi-Modal In-Vehicle Infotainment (IVI) System

About this Project

This project is a collaboration between Stellantis User Experience Design Team and the University of Michigan School of Information (SI 394: Automotive UX)

Our team focused on redesigning the Alfa Romeo 2025 Giulia’s in-vehicle experience by envisioning a 2030 Smart Energy Management system for EVs. Guided by Stellantis’ 2030 vision for advanced multi-modal infotainment, we designed an AI-powered, future-ready IVI system capable of predictive modeling, multi-modal interaction, and brand-specific adaptation.

This project—a collaboration between Stellantis User Experience Design and the University of Michigan School of Information (SI 394: Automotive UX)—focused on redesigning the Alfa Romeo 2025 Giulia’s in-vehicle experience by envisioning a 2030 Smart Energy Management system for EVs.

Guided by Stellantis’ 2030 vision for advanced multi-modal infotainment, we designed an AI-powered, future-ready IVI system capable of predictive modeling, multi-modal interaction, and brand-specific adaptation. As a team of two UX designers, we conducted competitive research, built wireframes, designed interaction flows, and developed high-fidelity prototypes supported by usability testing to deliver an intuitive, scalable, and brand-aligned energy management experience.

Roles

UX/UI Designer

Tools

Figma

Team

2 UX/UI Designers

Timeline

Sep - Dec 2025

Goals

The goal of this project was to create a next-generation EV Smart Energy Management system for 2030 that intelligently boosts driver confidence by maximizing battery performance, reducing range anxiety, and supporting eco-conscious driving.

Our design aimed to leverage adaptive AI, predictive energy modeling, dynamic charging recommendations, and context-aware multi-modal interactions, to deliver an intuitive, and future-ready energy experience that empowers users through automation, real-time insights, and clear energy visualization.

The goal of this project was to create a next-generation EV Smart Energy Management system for 2030 that intelligently boosts driver confidence by maximizing battery performance, reducing range anxiety, and supporting eco-conscious driving.

Our design aimed to leverage adaptive AI, predictive energy modeling, dynamic charging recommendations, and context-aware multi-modal interactions, to deliver an intuitive, and future-ready energy experience that empowers users through automation, real-time insights, and clear energy visualization.

Research

We conducted a literature review and analyzed EV driver discussions on Reddit to understand their core challenges. Across all sources, we found consistent pain points:

1. Difficulty maximizing battery performance
2. Ongoing range anxiety
3. Lack of trust in existing energy-management systems.

We conducted a literature review and analyzed EV driver discussions on Reddit to understand their core challenges. Across all sources, we found consistent pain points:

1. Difficulty maximizing battery performance
2. Ongoing range anxiety
3. Lack of trust in existing energy-management systems.

How might we help EV drivers maximize energy efficiency and reduce range anxiety through an intelligent, predictive, and easy-to-understand in-vehicle experience?

How might we help EV drivers maximize
energy efficiency and reduce range anxiety through an intelligent, predictive, and easy-to-understand in-vehicle experience?

How might we help EV drivers maximize energy efficiency and reduce range anxiety through an intelligent, predictive, and easy-to-understand in-vehicle experience?

Focus Outline

Past

Allow users to understand
past behaviors to learn from

Present

Provide insights on current
status & optimal performance

Future

Give predictive & proactive
suggestions for future states

Design Decisions 1

Data Insights with Actionable Suggestions

Provide users with past data with actions tied to them

Design Decisions 2

Real-time recommendations based on driver habits

Inform users on external factors that hinder their battery performance

Design Decisions 3

Predictive, Proactive Charging Insights & Scheduling

Users can see predictive, future state of battery & recommended scheduling to maintain battery-life

Hi-Fi Wireframes

Driver Display

Go to Prototype

Hi-Fi Wireframes

Energy Management

Go to Prototype

Hi-Fi Wireframes

Energy Management - Mobile

Go to Prototype

Reflection

Developed a deep understanding of Automotive UX, especially how to design from a driver’s perspective by minimizing distraction, supporting glanceable interactions, and prioritizing essential controls within the driver’s reach.
Gained real client-facing experience by collaborating with the Stellantis UX team, incorporating their feedback, and iterating our designs to meet professional automotive standards.
Built foundational knowledge in automotive technology, including multi-modal interaction, IVI systems, infotainment design, and EV-specific considerations, which strengthened my ability to design for future mobility experiences.

Developed a deep understanding of Automotive UX, especially how to design from a driver’s perspective by minimizing distraction, supporting glanceable interactions, and prioritizing essential controls within the driver’s reach.
Gained real client-facing experience by collaborating with the Stellantis UX team, incorporating their feedback, and iterating our designs to meet professional automotive standards.
Built foundational knowledge in automotive technology, including multi-modal interaction, IVI systems, infotainment design, and EV-specific considerations, which strengthened my ability to design for future mobility experiences.

Where friction becomes flow.

Would you like to get in touch?

Where friction becomes flow.

Would you like to get in touch?

Where friction becomes flow.

Would you like to get in touch?

hayunkim@umich.edu

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Stellantis UXD Design: