Project Details
Description
Heavy-duty transport is currently based on the use of fossil fuels. There is big potential to reduce the use of fossil fuels by electrification of transport. This shift leads to more energy-efficient transportation causing less greenhouse gas emissions and savings in the total cost of ownership. To accelerate this shift, powerful design optimization tools and methodologies such as model-based design approach, data-based modelling methodologies, and digital twins are needed to streamline the development cycle and improve the reliability of the overall design.
Project focuses to develop a versatile set of tools to accelerate the electrification of transport with emphasis on data-driven modelling and design optimization methodology and digital twin development. Furthermore, project develops knowledge, tools, and competences on the heavy-duty vehicle charging infrastructures and techno-economic assessment.
Project focuses to develop a versatile set of tools to accelerate the electrification of transport with emphasis on data-driven modelling and design optimization methodology and digital twin development. Furthermore, project develops knowledge, tools, and competences on the heavy-duty vehicle charging infrastructures and techno-economic assessment.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/24 → 31/12/25 |
Funding
- Funded by the European Union
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
-
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
Funding category
- Recovery and Resilience Facility (RRF)
Keywords
- electric vehicles
- electric powertrain
- batteries
- charging
- heavy-duty vehicles
Research output
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WeTRaC: Scalable EV charging demand forecasting for heavy-duty fleets
Aushev, A., Anttila, J., Todorov, Y., Hentunen, A. & Pihlatie, M., 15 Mar 2026, In: Applied Energy. 407, 127365.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
Control and Power Management of a Battery-Supercapacitor-PV-Wind Based Grid-Independent DC-Microgrid
Singh, P., Saha, P. & Hentunen, A., 2025, 2025 IEEE 7th International Conference on DC Microgrids, ICDCM 2025. IEEE Institute of Electrical and Electronic Engineers, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Energy Management for a Fuel Cell Plug-in Hybrid Heavy-duty Vehicle
Skeel, E., Hentunen, A., Pihlatie, M., Vepsäläinen, J., Ranta, M., Singh, P. & Tota, S. S., 17 Jun 2025. 12 p.Research output: Contribution to conference › Conference article › Scientific › peer-review
Open Access
Projects
- 1 Finished