Intelligent Torque Vectoring Approach for Electric Vehicles with Per-Wheel Motors
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2018
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Abstract
Transport electrification is currently a priority for authorities, manufacturers, and research centers around the world. The development of electric vehicles and the improvement of their functionalities are key elements in this strategy. As a result, there is a need for further research in emission reduction, efficiency improvement, or dynamic handling approaches. In order to achieve these objectives, the development of suitable Advanced Driver-Assistance Systems (ADAS) is required. Although traditional control techniques have been widely used for ADAS implementation, the complexity of electric multimotor powertrains makes intelligent control approaches appropriate for these cases. In this work, a novel intelligent Torque Vectoring (TV) system, composed of a neuro-fuzzy vertical tire forces estimator and a fuzzy yaw moment controller, is proposed, which allows enhancing the dynamic behaviour of electric multimotor vehicles. The proposed approach is compared with traditional strategies using the high fidelity vehicle dynamics simulator Dynacar. Results show that the proposed intelligent Torque Vectoring system is able to increase the efficiency of the vehicle by 10%, thanks to the optimal torque distribution and the use of a neuro-fuzzy vertical tire forces estimator which provides 3 times more accurate estimations than analytical approaches.
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Publisher Copyright: © 2018 Alberto Parra et al.
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Electric Vehicle , Functionalities , Emission reduction , Efficiency improvement , Advanced Driver-Assistance Systems , ADAS , Intelligent Torque Vectoring , TV , Electric Vehicle , Functionalities , Emission reduction , Efficiency improvement , Advanced Driver-Assistance Systems , ADAS , Intelligent Torque Vectoring , TV , General Computer Science , Multidisciplinary , SDG 7 - Affordable and Clean Energy , Project ID , info:eu-repo/grantAgreement/EC/H2020/662192/EU/Integrated Components for Complexity Control in affordable electrified cars/3CCAR , info:eu-repo/grantAgreement/EC/H2020/662192/EU/Integrated Components for Complexity Control in affordable electrified cars/3CCAR , Funding Info , The research leading to these results has been supported by_x000D_ the ECSEL Joint Undertaking under Grant agreement no._x000D_ 662192 (3Ccar).This Joint Undertaking receives support from_x000D_ the European Union Horizon 2020 research and innovation_x000D_ program and the ECSEL member states. , The research leading to these results has been supported by_x000D_ the ECSEL Joint Undertaking under Grant agreement no._x000D_ 662192 (3Ccar).This Joint Undertaking receives support from_x000D_ the European Union Horizon 2020 research and innovation_x000D_ program and the ECSEL member states.
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Parra , A , Zubizarreta , A , Pérez , J & Dendaluce , M 2018 , ' Intelligent Torque Vectoring Approach for Electric Vehicles with Per-Wheel Motors ' , Complexity , vol. 2018 , 7030184 , pp. 1-14 . https://doi.org/10.1155/2018/7030184