Dendaluce Jahnke, MartinAllende Marcos, MiguelPérez Rastelli, JoshuéPrieto Arce, PabloMartin Sandi, Adrián2024-07-242024-07-242016-12-21Dendaluce Jahnke , M , Allende Marcos , M , Pérez Rastelli , J , Prieto Arce , P & Martin Sandi , A 2016 , Multi motor electric powertrains : Technological potential and implementation of a model based approach . in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society . , 7793257 , IECON Proceedings (Industrial Electronics Conference) , IEEE Computer Society , pp. 223-228 , 42nd Conference of the Industrial Electronics Society, IECON 2016 , Florence , Italy , 24/10/16 . https://doi.org/10.1109/IECON.2016.7793257conference9781509034741https://hdl.handle.net/11556/2057Publisher Copyright: © 2016 IEEE.Vehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.6enginfo:eu-repo/semantics/restrictedAccessconference output10.1109/IECON.2016.7793257Advanced controlCode generationElectric motorHeterogeneousMachine-learningMBDMulti-domainMulti-motorPowertrainSoCSystem-on-chipTorque vectoringControl and Systems EngineeringElectrical and Electronic EngineeringSDG 7 - Affordable and Clean Energyhttp://www.scopus.com/inward/record.url?scp=85010065760&partnerID=8YFLogxK