Towards brand-independent architectures, components and systems for next generation electrified vehicles optimised for the infrastructure
2022-01-1117
03/29/2022
- Event
- Content
- The virtual E-VOLVE (Electric Vehicle Optimized for Life, Value and Efficiency) Cluster is realizing and monitoring synergies between eight projects from the GV-01 Horizon 2020 call to execute joint dissemination, exploitation and standardization activities. The Projects ACHILES, CEVOLVER, SYS2WHEEL, EVC1000, and Multi-Moby are the members of the E-VOLVE Cluster that will present their achievements in this paper. Achiles, SYS2Wheel, EVC1000: The integration of the BEV demonstrators with the modeling, design and prototyping of the powertrain and chassis components has been successfully achieved with a new wheel concept and out-of-phase control for the brake system and a new torque vectoring algorithm for enhanced vehicle motion control. Performance and safety-related benefits of integrated corner solutions with in-wheel motors will be reported in the full paper. Optimized concepts for energy and thermal management will be outlined involving trip itinerary, range prediction, smart fast charging and eco routing will be presented, to which CEVOLVER adds the challenge of enabling urban BEV with relatively small battery capacity for long day trips. The recently started project MULTI-MOBY is aiming at quickly finalising the results of a cluster of European GV and FoF projects addressing the development of technology for safe, efficient and affordable urban electric vehicles. Commercial vans will be developed assuring high efficiency 48V and 100V powertrains adopting the most advanced power semiconductor technologies, including Si, SiC and GaN robust battery packs based on hybrid cells with specific energy close to 200Wh/kg at pack level, on-board charger integrating a DCxxV-DC12V converter optimised for the two voltages of interest, a standardised low cost charging system able to operate DC charging at 48V and 100V, advanced Electric Electronic (EE) architecture with secure procedures for remote updates and upgrades of the firmware and predictive maintenance, by applying advanced artificial intelligence (AI) methodologies, application of low-cost, flexible, agile and lean manufacturing through a low-investment micro-factory concept, competitive price positioning with respect to existing and forthcoming fully electric urban passenger and commercial vehicles.
- Citation
- Armengaud, E., Brandstätter, B., Biček, M., Buh, J. et al., "Towards brand-independent architectures, components and systems for next generation electrified vehicles optimised for the infrastructure," SAE Technical Paper 2022-01-1117, 2022, .