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Optimization of Electric Vehicle autonomy – OPEVA

Project funded by:

Federal Department of Economic Affairs,

Education and Research EAER

State Scretariat for Education,

Research and Innovation SERI

The main objective of the OPEVA project is to explore the benefits that can be obtained from the interaction between the multiple actors involved in the modern “mobility experience” in order to optimize the autonomy of electric vehicles in a modern world which also requires consider sustainability and resource optimization. This translates into developing an energy-efficient power train and dynamic routing, into improving accurate range prediction techniques, improving EV grid integration, developing efficient charging technologies and guaranteeing a wider EV adoption.


To accelerate the deployment of sustainable electric vehicles (EV) and improve EV market penetration, the project aims to develop technological solutions involving the overall ecosystem, thereby addressing limiting psychological factors such as range anxiety, high price, limited charging facilities, and duration of charging. The OPEVA will contribute to the key application area on Mobility and a number of major long-term challenges including embedded software, edge computing and embedded artificial intelligence.


OPEVA project involves 37 partners from 11 European Countries for a total budget of 23M €, and it will leverage the expertise of a strong consortium covering the whole value chain of electric mobility (Tier-1, Tier-2, OEMs and technology providers). The project is co-sponsored by Key Digital Technology Joint Undertaking, the program Horizon Europe and the National authorities of the participating countries.


The project identifies six technology domains, involving 23 key technologies, and four non-technical domains which must be developed to move from conventional EVs to sustainable EVs. The project achievements will be tested in 9 collaborative demonstrators, which include: HiL testing for integrated battery balancing and power electronics, development of Battery Packs with Smart BMS, simulation on HiL system Test and Perform Physical Test with Battery Pack Test Machine, improved sensors for accurate battery monitoring, energy Efficient Route Planning, in-vehicle integration of inductive charging with BMS and power electronics, modular batteries storage based second life EV module variants, GaN-based IoT-enabled surface inductive charging system, and Flexible Charging schedulers.


The project will be coordinated by Pertimm Developpement, French company specialized for 24 years in semantic search engines, artificial intelligence and e-commerce solutions (marketplaces, websites, mobile applications, etc).

 

 

 

Full Press Release in OPEVA