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Verification and Validation Architectures for Centralized Compute in Electric Vehicles

Author(s) Abhishek Devgan
Country India
Abstract The fast development of Electric Vehicles (EVs) has caused a paradigm shift in the conventional distributed Electronic Control Unit (ECU) to large centralized computing architectures. The change is one of the pillars of the Software-Defined Vehicle (SDV) generation that allows new functionality like autonomous driving, vehicle-to-grid (V2G) energy trading, and over-the-air (OTA) updates. Nevertheless, the process of centralizing important functions into a central-like brain creates enormous complications in the provision of system reliability, functional safety, and cybersecurity. This paper will consider the new Verification and Validation (V&V) architectures based on centralized compute environments in EVs. We examine the current E/E (Electrical/Electronic) architectural tendencies, and shifted toward domain-controlled to zonal systems and fully centralized system. One of the major areas of focus is high-confidence V&V techniques, such as Hardware-in-the-Loop (HiL) E-horizon-function simulation, lightweight authentication protocols in secure automotive networks, and blockchain-based privacy-preserving data exchange and energy transactions. Additionally, this research also examines simulation toolchains and modeling environment that are necessary to test the interaction between complex software stacks and centralized hardware. This research is a synthesis of existing literature on the topic of decentralized security and centralized processing and thus represents an overall roadmap of testing the next generation of safe, secure and cross operationalized systems of electric vehicles.
Keywords Centralized E/E Architecture, Electric Vehicles (EV), Software-Defined Vehicles (SDV), Verification and Validation (V&V), Cybersecurity, Blockchain, Hardware-in-the-Loop (HiL), Autonomous Systems, Vehicle-to-Grid (V2G), Functional Safety.
Field Engineering
Published In Volume 3, Issue 8, August 2022
Published On 2022-08-04
DOI https://doi.org/10.5281/zenodo.20347904
Short DOI https://doi.org/hb48mq
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