The current generation of electric vehicles have made significant progress during the recent years, however they have still not achieved the user acceptance needed to support broader main-stream market uptake. These vehicles are generally still too expensive and limited in range to be used as the first car for a typical family. Long charging times and uncertainties in range prediction are common as further barriers to broader market success. For this reason the CEVOLVER project takes a user-centric approach to create battery-electric vehicles that are usable for comfortable long day trips whilst the installed battery is dimensioned for affordability. Furthermore the vehicles will be designed to take advantage of future improvements in the fast-charging infrastructure that many countries are now planning. CEVOLVER tackles the challenge by making improvements in the vehicle itself to reduce energy consumption as well as maximizing the usage of connectivity for further optimization of both component and system design, as well as control and operating strategies. This will encompass measures that range from the on-board thermal management and vehicle energy management systems, to connectivity that supports range-prediction as a key element for eco-driving and eco-routing driver assistance. Within the project it will be demonstrated that long-trip are achievable even without further increases in battery size that would lead to higher cost. The driver is guided to fast-charging infrastructure along the route that ensures sufficient charging power is available along the route in order to complete the trip with only minimal additional time needed for the overall trip. The efficient transferability of the results to further vehicles is ensured by adopting a methodology that proves the benefit with an early assessment approach before implementation in OEM demonstrator vehicles
Short titleCEVOLVER
Effective start/end date1/11/1830/04/22

    Research areas

  • Electric Vehicles, Thermal management, Fast charging

    Flemish discipline codes

  • Electrical machines and transformers
  • Air pollution and control

ID: 39820168