Browsing by Keyword "Torque vectoring"
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Item An energy efficient intelligent torque vectoring approach based on fuzzy logic controller and neural network tire forces estimator(2021-01-13) Parra, Alberto; Zubizarreta, Asier; Pérez, Joshué; Tecnalia Research & Innovation; CCAMIn electric vehicles (EVs) with multiple motors, torque vectoring (TV) control can effectively enhance the cornering response and safety. Moreover, TV systems can also improve the overall efficiency through an optimal torque distribution that also considers the power consumption. For such a complex control system with multiple objectives, intelligent control techniques have demonstrated to be one of the best alternatives. However, the works proposed in the literature do not handle both vehicle dynamics behavior and energy efficiency, and generally do not consider the real-time implementability of the developed controllers. To overcome the aforementioned isues, in this work, a novel torque vectoring approach is proposed, which uses a neural network-based vertical tire forces estimator and considers the regenerative braking capabilities of EVs. Moreover, the implementability of the controller in a heterogenous (FPGA and microcontroller) automotive suitable system on chip is addressed, ensuring its real-time capabilities. For the sake of validating the proposed approach, a set of experiments have been carried out in a hardware in the loop setup. The performance of the proposed TV approach has been compared with other two TV approaches from the literature, evaluating them in several challenging manoeuvres in high and low tire-road friction coefficient scenarios. Results show that the proposed approach not only is able to enhance the vehicle dynamics behavior but also to decrease the energy consumption about 13%.Item Multi motor electric powertrains: Technological potential and implementation of a model based approach(IEEE Computer Society, 2016-12-21) Dendaluce Jahnke, Martin; Allende Marcos, Miguel; Pérez Rastelli, Joshué; Prieto Arce, Pablo; Martin Sandi, Adrián; Tecnalia Research & Innovation; CCAM; POWERTRAINVehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.