Application of regenerative braking on electric vehicles has to be carefully optimized in order to maximize the system efficiency, maintaining high performance and reliability levels that are required by the automotive sector. Considering complex interactions arising from the interaction of electric brake plant with vehicle dynamics and other on-board sub-systems, there is the necessity of modular scalable models able to merge multiple competences and different engineering tools, aimed at performing accurate simulation activities. In this work authors present some preliminary results concerning the implementation of a model in which the potentialities of co-simulation between different environment are exploited.

Brake Blending Strategy on Electric VehicleCo-simulation Between MATLAB Simulink® and Simcenter Amesim™ / Lorenzo Berzi, Tommaso Favilli, Marco Pierini, Luca Pugi,Nicola Tobia,Gerhard Benedikt Weiß,Matthieu Ponchant. - ELETTRONICO. - (2019), pp. 0-0. ((Intervento presentato al convegno 5th International Forum on Research and Technologies for Society and Industry (RTSI) tenutosi a Firenze nel 9-12 September 2019 [10.1109/RTSI.2019.8895548].

Brake Blending Strategy on Electric VehicleCo-simulation Between MATLAB Simulink® and Simcenter Amesim™

Lorenzo Berzi;Tommaso Favilli;Marco Pierini;Luca Pugi;
2019

Abstract

Application of regenerative braking on electric vehicles has to be carefully optimized in order to maximize the system efficiency, maintaining high performance and reliability levels that are required by the automotive sector. Considering complex interactions arising from the interaction of electric brake plant with vehicle dynamics and other on-board sub-systems, there is the necessity of modular scalable models able to merge multiple competences and different engineering tools, aimed at performing accurate simulation activities. In this work authors present some preliminary results concerning the implementation of a model in which the potentialities of co-simulation between different environment are exploited.
Proceedings of 5th International Forum on Research and Technologies for Society and Industry (RTSI)
5th International Forum on Research and Technologies for Society and Industry (RTSI)
Firenze
9-12 September 2019
Lorenzo Berzi, Tommaso Favilli, Marco Pierini, Luca Pugi,Nicola Tobia,Gerhard Benedikt Weiß,Matthieu Ponchant
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2158/1176828
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