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ALL-WHEEL DRIVE ELECTRIC VEHICLE MODELING AND PERFORMANCE OPTIMIZATION
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 13, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Electrification of the powertrain is one of the most promising trends in the automotive industry. Among the novel architectures, this paper aims to study the latent advantages provided by in-wheel motors, particularly an All-Wheel-Drive powertrain composed by four electric machines directly connected to each wheel-hub of a high performance vehicle. Beyond the well-known packaging advantage allowed by the in-wheel motor, the presence of four independent torque sources allows more flexible and complex control strategies of torque allocation. The study explores three different control modules working simultaneously: torque vectoring, regenerative braking and energy efficiency optimization protocol. The main objectives of the project are: improving handling, measured through the lap time of the virtual driver in a simulated track, and enhance energy efficiency, assessed by the battery state of charge variation during standard events. The torque vectoring strategy is based on a feedback PID controller working in parallel to a feedforward logic that predict the desired behavior based on the driver demands (such as steering angle) and vehicle states (chassis accelerations and velocities). The regenerative braking manages the demand of the driver by transferring decelerating torque from mechanical brakes to electric motors, based on their saturation condition, longitudinal slip of tires and the harmony with torque vectoring. Furthermore, a simulated ‘engine braking’ is developed and analyzed. The energy efficiency optimization protocol, allowed exclusively due to the presence of four independent electric motors, is an innovative approach to analyze the efficiency maps of the electric machines and find the best torque allocation in terms of power consumption without impact to longitudinal acceleration and yaw moment creation. The study successfully highlights the benefits of the all-wheel-drive in-wheel electric motors powertrain architecture and builds a solid platform to the development of the three control strategies and their relation, considering both the vehicle dynamics and the electric subsystem performance.
- H. de Carvalho Pinheiro - Department of Mechanical and Aerospace Engineering, Politecn
- E. Galanzino - Department of Mechanical and Aerospace Engineering, Politecn
- A. Messana - Department of Mechanical and Aerospace Engineering, Politecn
- L. Sisca - Department of Mechanical and Aerospace Engineering, Politecn
- A. Ferraris - Department of Mechanical and Aerospace Engineering, Politecn
- A. G. Airale - Department of Mechanical and Aerospace Engineering, Politecn
- M. Carello - Department of Mechanical and Aerospace Engineering, Politecn
Citationde Carvalho Pinheiro, H., Galanzino, E., Messana, A., Sisca, L. et al., "ALL-WHEEL DRIVE ELECTRIC VEHICLE MODELING AND PERFORMANCE OPTIMIZATION," SAE Technical Paper 2019-36-0197, 2020, https://doi.org/10.4271/2019-36-0197.
Data Sets - Support Documents
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- Scavuzzo, S., Guerrieri, R., Ferraris, A., Airale, A.G. and Carello, M. : Alternative Efficiency Test Protocol for Lithium-ion Battery. International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I. Palermo, 12-15 June (2018), DOI: 10.1109/EEEIC.2018.8493664.
- Cittanti D., Ferraris A., Airale, A.G., Fiorot, S., Scavuzzo S. and Carello M. , “Modeling Li-ion batteries for automotive application: A trade-off between accuracy and complexity”, International Conference of Electrical and Electronic Technologies for Automotive, Torino 15-16 June 2017, pp. 8, 2017, ISBN: 978-88-87237-26-9, DOI: 10.23919/EETA.2017.7993213.
- De Vita A., Maheshwari A., Destro M., Santarelli M. and Carello M. , “Transient thermal analysis of a lithium-ion battery pack comparing different cooling solutions for automotive applications”, Applied Energy, Vol. 206, pp. 12, 2017, ISSN: 0306-2619, DOI: 10.1016/j.apenergy.2017.08.184.
- Cubito, C., Rolando, L., Ferraris, A., Carello, M. and Millo, F. , ‘Design of the control strategy for a range extended hybrid vehicle by means of dynamic programming optimization’. IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA 11-14 June, pp. 1234-1241 (2017), ISBN: 978-1-5090-4804-5, DOI: 10.1109/IVS.2017.7995881
- Ferraris A., Airale A.G., Messana A., Xu S. and Carello M. ‘The regenerative braking for a L7e Range Extender Hybrid Vehicle’ International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I. Palermo, 12-15 June (2018), DOI: 10.1109/EEEIC.2018.8494000.
- Carello, M., Ferraris, A., Airale, A. and Fuentes, F. , ‘City Vehicle XAM 2.0: Design and Optimization of its Plug-In E-REV Powertrain’. SAE International Congress, Detroit (Michigan) 8-10 April, pp. 11, (2014), DOI 10.4271/2014-01-1822.
- Carello M., De Vita A. and Ferraris A. , ‘Method for Increasing the Humidity in Polymer Electrolyte Membrane Fuel Cell’, Fuel cells, Wiley-Vch Verlag GmbH & Co. KGaA, Weinheim, pp. 8, ISSN: 1615-6854, DOI: 10.1002, 2016.
- Ferraris, A.; Messana, A.; Airale, A.G.; Sisca, L.; de Carvalho Pinheiro, H.; Zevola, F. and Carello, M. , ‘Nafion® Tubing Humidification System for Polymer Electrolyte Membrane Fuel Cells’. Energies 2019, 12, 1773. DOI: 10.3390/en12091773
- ‘Advanced Propulsion Center roadmap’. [Online]. Available: https://www.sae.org/news/2018/08/advanced-propulsion-center-future-propulsion-report. [Accessed: 23-Jan-2019].
- Wang J., Wang Q., Jin L. and Song C. , ‘Independent wheel torque control of 4WD electric vehicle for differential drive assisted steering’, Mechatronics, vol. 21, no. 1, pp. 63-76, Feb. 2011.
- Ag S. T. and Kg C. , ‘Schaeffler Symposium 2018’, p. 200, 2018.
- Vos R., Besselink I. J. M. and Nijmeijer H. , ‘Influence of in-wheel motors on the ride comfort of electric vehicles’, Proc.10th Int. Symp. Adv. Veh. Control AVEC10 22-26 August 2010 Loughb. U. K., pp. 835-840, 2010.
- S. Xu, A. Ferraris, A. G. Airale, and M. Carello , ‘Elasto-kinematics design of an innovative composite material suspension system’, Mechanical Sciences, vol. 8, n. 1, pp. 11-22, feb. 2017, DOI: 10.5194/ms-8-11-2017.
- Hilton A. W. and Hilton C. , ‘Protean Electric’s In-Wheel Motors Could Make EVs More Efficient’, IEEE Spectrum: Technology, Engineering, and Science News, 26-Jun-2018. [Online]. Available: https://spectrum.ieee.org/transportation/advanced-cars/protean-electrics-inwheel-motors-could-make-evs-more-efficient. [Accessed: 23-Oct-2018].
- Genta G. and Morello L. , ‘The automotive chassis’. Dordrecht: Springer, 2009.
- ‘VI-CarRealTime 17.1 Documentation’, p. 887, 2016.
- Sawase K. and Ushiroda Y. , ‘Improvement of Vehicle Dynamics by Right-and-Left Torque Vectoring System in Various Drivetrainsx’, p. 7.
- Fu C. , ‘Direct Yaw Moment Control for Electric Vehicles with Independent Motors’, p. 176.
- Novellis L. D., Sorniotti A., Gruber P., and Pennycott A. , ‘Comparison of Feedback Control Techniques for Torque-Vectoring Control of Fully Electric Vehicles’, IEEE Trans. Veh. Technol., vol. 63, no. 8, pp. 3612-3623, Oct. 2014.
- De Novellis L., Sorniotti A., Gruber P., Shead L., Ivanov V., and Hoepping K. , ‘Torque Vectoring for Electric Vehicles with Individually Controlled Motors: State-of-the-Art and Future Developments’, World Electr. Veh. J., vol. 5, no. 2, pp. 617-628, Jun. 2012.
- Wong A., Kasinathan D., Khajepour A., Chen S.-K., and Litkouhi B. , ‘Integrated torque vectoring and power management framework for electric vehicles’, Control Eng. Pract., vol. 48, pp. 22-36, Mar. 2016.
- De Novellis L., Sorniotti A., and Gruber P. , ‘Optimal Wheel Torque Distribution for a Four-Wheel-Drive Fully Electric Vehicle’, SAE Int. J. Passeng. Cars - Mech. Syst., vol. 6, no. 1, pp. 128-136, Apr. 2013.
- Gang L. and Zhi Y. , ‘Energy saving control based on motor efficiency map for electric vehicles with four-wheel independently driven in-wheel motors’, Adv. Mech. Eng., vol. 10, no. 8, Aug. 2018. doi:10.1177/1687814018793064
- Tahami F., Kazemi R., Farhanghi S., and Samadi B. , ‘Fuzzy Based Stability Enhancement System for a Four-Motor-Wheel Electric Vehicle’, SAE Automotive Dynamics & Stability Conference and Exhibition, 2002.
- ‘ProteanDrive’, Protean. [Online]. Available:https://www.proteanelectric.com/protean-drive/. [Accessed: 23-Feb-2019].
- ‘Control Tutorials for MATLAB and Simulink - Introduction: PID Controller Design’. [Online]. Available: http://ctms.engin.umich.edu/CTMS/index.php?example=Introduction§ion=ControlPID. [Accessed: 24-Feb-2019].
- Murnane, M. M. and Ghazel A. , ‘A Closer Look at State of Charge (SOC) and State of Health (SOH) Estimation Techniques for Batteries.’ 2017.