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EFFEREST targets a decisive leap forward in the novel use of data to achieve energy efficient electric vehicle (EV) designs, matching enhanced user acceptance with efficient vehicle operation. Significant improvements will be gained by leveraging knowledge from real fleet behaviour. Users will benefit from personalised data and the always-available option to select the vehicle performance type; in this way, users will perceive that individualised eco-functionality sufficiently fulfils normal daily-use requirements and will be motivated to save energy even over longer periods of regular usage. To achieve its ambition, EFFEREST brings together 11 partners from industrial and research backgrounds covering the entire EV value chain. A co-design framework will be implemented with a holistic user-centric energy management system control architecture based on adaptive digital twins, model-based optimization for component rightsizing, predictive model-based control and AI, benefitting from V2X, fleet-generated information and historical data. Most importantly, novel indicators will be identified that provide deeper insight into the effect that technical improvements have on user experience: this will help to derive more realistic development targets with a direct impact on user attractiveness, which in turn will impact the controllers that will be tailored adaptively to the current condition of the specific EV and its usage pattern, thus providing personalized and robust behaviour. Innovations in powertrains, battery systems, heating, ventilation and air conditioning systems will then be demonstrated through extensive evaluations in test facilities and a demonstrator vehicle, the aim being to make EVs more energy-efficient, comfortable, safe and affordable. As such, EFFEREST will increase the competitiveness of Europe, strengthening industrial leadership in key digital enabling and emerging technologies to make EVs more attractive for the worldwide mass market.