SIMBIKE ELECTRIC, a tool for the simulation of electric racing motorcycles

Authors

  • Álvaro Noriega González Universidad de Oviedo Dpto. de Construcción e Ingeniería de Fabricación Campus de Viesques, C/Pedro Puig Adam, Edf. Departamental Oeste, 33203 Gijón, España
  • Ángel Navarro Rodríguez Universidad de Oviedo Dpto. de Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas Campus de Viesques, C/Pedro Puig Adam, Edf. Departamental Oeste, 33203 Gijón, España
  • Pablo García Fernández Universidad de Oviedo Dpto. de Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas Campus de Viesques, C/Pedro Puig Adam, Edf. Departamental Oeste, 33203 Gijón, España
  • Juan Manuel Guerrero Muñoz Universidad de Oviedo Dpto. de Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas Campus de Viesques, C/Pedro Puig Adam, Edf. Departamental Oeste, 33203 Gijón, España

DOI:

https://doi.org/10.5944/ribim.28.2.43140

Keywords:

Simulation, Performance, Electric Motorcycle, Racing

Abstract

Electric racing motorcycles are vehicles characterized by high acceleration, high weight and low autonomy. During their design, the aim is to integrate the battery and the powertrain into the motorcycle chassis in such a way that the motorcycle can perform its function optimally from a performance point of view. This design process is simplified because the operating conditions of the motorcycle in a circuit are repeatable and because it is relatively easy to perform a simulation of the motorcycle in such conditions including a simplified thermal model and a simplified electrical model, in addition to the simplified model of the vehicle and rider dynamics, resulting in a simplified multiphysics simulation. To carry out this task, the SIMBIKE ELECTRIC tool has been developed, which allows estimating the overall performance (acceleration, maxi-mum speed, lap time), the energy consumption, the achievable regeneration and the heat generated in the different electrical components and to be evacuated by the cooling systems. This tool allows to simulate different motorcycle designs as well as to adjust different motorcycle tuning parameters (for example, the engine torque curve, the chain transmission ratio, the position of the center of mass,..., etc.) and different track layouts in a simple way. The simulation obtained is robust and very efficient, working below real time and facilitating its use in a process of obtaining the optimal configuration for both the design and the tuning of the motorcycle. The developed tool has been validated by comparing the calculated performances with those obtained by the electric motorcycle of the University of Oviedo team in the dynamic tests of the Motostudent Electric competition held in 2021 at the Motorland Aragon circuit.

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References

Foale, T., Motocicletas. Comportamiento dinámico y diseño de chasis. El arte y la ciencia, Tony Foale De-signs, España (2003)

Blissett, J., Degano, M., Gimeno-Fabra, M., Wheeler, P., “Design of electrical system for racing electric motorcycles”, 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 1-5, Tou-louse, France (2016)

Dal Bianco, N., Lot, R., Matthys, K., “Lap time simulation and design optimisation of a brushed DC electric motorcycle for the Isle of Man TT Zero Challenge”, Vehicle System Dynamics, 56(1), 27-54 (2018)

Flanagan, L., “High-powered electric motorcycle integrated performance studies”, PhD thesis, University of Nottingham (2022)

Cossalter, V., Da Lio, M., Lot, R., Fabbri, L., Simulation and performance evaluation of race motorcycle dynamics based on parts of real circuit. Power Two Wheels International Conference, 14-15, Pisa, Italia (1998)

Eksergian, R., “Dynamical analysis of machines”, Journal of the Franklin Institute, 209-4, 503-531 (1930)

Luque, P., Alvarez, D., Vera, C., Ingeniería del automóvil. Sistemas y comportamiento dinámico, Ed. Para-ninfo, Madrid, España (2004)

Massaro, M., Lovato, S., “The optimal trajectory of road vehicles on straights” 2022 IEEE 61st Conference on Decision and Control (CDC), 1168-1173, Cancun, Mexico (2022)

McNamee, J.M., Pan, V.Y., “Chapter 7 - Bisection and Interpolation Methods”, Studies in Computational Mathematics, 16, 1-138 (2013)

Süli, E., Mayers, D.F., An Introduction to Numerical Analysis, Cambridge University Press (2003)

Published

2024-10-31

How to Cite

Noriega González, Álvaro, Navarro Rodríguez, Ángel, García Fernández, P., & Guerrero Muñoz, J. M. (2024). SIMBIKE ELECTRIC, a tool for the simulation of electric racing motorcycles. Revista Iberoamericana de Ingeniería Mecánica, 28(2), 03–13. https://doi.org/10.5944/ribim.28.2.43140

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