Applying a holistic circular approach, the HELIOS project investigates optimal eco-designs and advanced processes to both enhance and demonstrate innovative, lighter and eco-friendly hybrid Li-Ion-based battery packs for mid-size vehicles and city busses.
HELIOS believes that a new concept of standardised, modular and scalable battery pack is possible, and that it will be efficient for use in a varied range of applications. Capitalising on advanced materials and top-notch modelling Big Data and Information and Communication Technologies (ICTs), the new battery pack is expected to combine improved autonomy and charging performance with enhanced safety standards and a minimum carbon footprint.
HELIOS aims at assessing the effectiveness, circularity and sustainability of urban mobility models that are based on the use of EV fleets, such as car-sharing and e-busses fleet. The hope is to contribute to the global deployment of such services, increasing their positive impact on reducing CO2 emissions.
HELIOS wants to contribute to the creation of a solid and integrated Pan-European supply chain to manufacture, reuse and recycle Li-Ion EV batteries, based on economy of scale and supported by major sector players.
Fostering the collaboration between car manufactures and high-tech European SMEs, HELIOS aims at facilitating the penetration of new actors in the market, so that they can supply innovative technologies and services to the automotive industry.
By establishing standardised methodologies and protocols for data processing from EV batteries, HELIOS wishes to generate open databases and libraries for the automotive industry to improve on current designs and manufacturing, as well as registering patents for its innovations in battery pack design, standardisation, manufacturing, sensors, power electronics, thermal management and ICTs.
Web: https://www.helios-h2020project.eu/
@: info@helios-h2020project.eu
LinkedIn: https://www.linkedin.com/company/helios-h2020
Twitter: https://twitter.com/helios_h2020
HELIOS receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 963646
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