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ALL-WHEEL DRIVE ELECTRIC VEHICLE MODELING AND PERFORMANCE OPTIMIZATION
Technical Paper
2019-36-0197
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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Authors
- 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
Topic
Citation
de 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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References
- 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) 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 8 2017 978-88-87237-26-9 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 206 12 2017 0306-2619 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 1234 1241 2017 978-1-5090-4804-5 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) 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 11 2014 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 8 1615-6854 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 10.3390/en12091773
- https://www.sae.org/news/2018/08/advanced-propulsion-center-future-propulsion-report 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 21 1 63 76 Feb. 2011
- Ag S. T. and Kg C. Schaeffler Symposium 2018 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. 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 8 1 11 22 feb. 2017 10.5194/ms-8-11-2017
- Hilton A. W. and Hilton C. 26-Jun-2018 https://spectrum.ieee.org/transportation/advanced-cars/protean-electrics-inwheel-motors-could-make-evs-more-efficient
- Genta G. and Morello L. The automotive chassis Dordrecht Springer 2009
- 2016
- Sawase K. and Ushiroda Y.
- Fu C.
- 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. 63 8 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. 5 2 617 628 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. 48 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. 6 1 128 136 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. 10 8 Aug. 2018 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
- https://www.proteanelectric.com/protean-drive/ 23-Feb-2019
- http://ctms.engin.umich.edu/CTMS/index.php?example=Introduction§ion=ControlPID 24-Feb-2019
- Murnane , M. M. and Ghazel A. 2017