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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

System-on-Chip-based highly integrated Powertrain Control Unit for next-generation Electric Vehicles: harnessing the potential of Hybrid Embedded Platforms for Advanced Model-Based Control Algorithms

Tecnalia Research and Innovation, Industry and Transport Division
World Electr. Veh. J. 2015, 7(2), 311-323; https://doi.org/10.3390/wevj7020311
Published: 26 June 2015
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Abstract

In this paper, a novel highly integrated System on Chip (SoC) based control unit concept is presented, which is conceived to combine the functionality of various powertrain ECUs and to additionally enhance their control with predictions based on the real-time execution of complex mathematical models. Such a platform has the potential for providing considerable benefits to upcoming hybrid and electric vehicles, especially for highly complex and efficient hybrid and multi-motor electric vehicles. A clear advantage is the reduction of Control Units, consequently also reducing the system complexity, communication requirements and development effort, which are directly associated to production and development costs. A controller architecture capable of exploiting the strength intrinsic to the nature of each platform type is presented, basing on the new generation of high-performance hybrid SoC platforms which combine powerful processors with cutting edge FPGAs. The parallel hardware paradigm of FPGAs enables the implementation into a single component not only of several Field Oriented Control loops for electrical motors, power management functions and vehicle-level optimizations, but also of advanced real-time predictive algorithms. The combination of so many complex tasks would not be feasible on a typical automotive microcontroller unit. A further objective for obtaining a highly integrated solution is to establish an efficient development and prototyping process, aiming to simplify and harmonize the workflow through the whole V model, by completely basing it on model-based-design tools. Finally, the concept demonstrator being implemented in this paper will combine a state-of-the-art high performance microprocessor and FPGA using a commercial SoC platform together with model-based software development tools. This will also fulfil the expectation of providing a topology with great migration and industrialization potential for the case of higher qualification requirements. Furthermore, it is another step towards a necessary mindset shift on control system development and integration methods for increasingly complex vehicles.
Keywords: Control Unit; System-on-Chip; Multi-Motor Electric Vehicle; Advanced Algorithms; Model-Based Control Unit; System-on-Chip; Multi-Motor Electric Vehicle; Advanced Algorithms; Model-Based
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dendaluce, M. System-on-Chip-based highly integrated Powertrain Control Unit for next-generation Electric Vehicles: harnessing the potential of Hybrid Embedded Platforms for Advanced Model-Based Control Algorithms. World Electr. Veh. J. 2015, 7, 311-323.

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