FMI-Based Virtual ECU Interface Structure

Eunhyung Cho･Seokjin Jang･Subin Jung･Kangyoung Lee･Seongho Han (Hyundai AutoEver)

The automotive industry is experiencing an increase in the diversity and complexity of vehicle functions due to the rapid growth of software. Accordingly, virtual verification is emerging as an effective method for developing and verifying vehicle ECUs.
Virtual verification begins by virtualizing the ECU. And in the development of the virtual ECU, it is essential to define an input/ouput interface to communicate effectively with a simulator or other models.
This paper proposes an interface structure for each AUTOSAR module in FMI(Functional Mock-up Interface)-based virtual ECU and introduces use cases of the proposed method.

Virtual Memory Development for Simulation of Diagnostic Communication in Virtual ECU

Kangyoung Lee･Seongho Han･Eunhyung Cho･Subin Jung･Seokjin Jang (Hyundai AutoEver)

This study covers the utilization of virtual ECUs through memory simulations as a modern method for the development and testing of vehicle control systems. Vehicle diagnostic and communication functions based on Unified Diagnostic Services (UDS) and Universal Measurement and Calibration Protocol (XCP) functions are an important part of modern vehicles. However, in order to effectively develop and test these functions, it is necessary to be able to accurately simulate memory behavior and interaction in a real ECUs.

In this paper, we introduce virtual memory simulation methods for implementing vehicle diagnosis and XCP behavior in virtual ECUs, as well as usecase for verification.

A Study on the Cleaning System of the Automated Driving Sensor

Jongmin Park･Nakkyong Kong･Gyuwon Han･Jinhee Lee (Hyundai Motor)･Jongwook Lee (Dy Auto)･Minwook Park (Dy Essys)

Fully automated driving Competition for technology development is intensifying. Indeed, leading autonomous driving companies have proposed the development of fully autonomous vehicles, they are operating robo-taxi in various regions to accumulate cloud-based big data for fully autonomous driving. In order to implement fully automated driving technology, which has recently become an issue, it is particularly necessary to expand the Operational Design Domain, and the importance of sensor cleaning technology has been highlighted. This research relates to washer cleaning technology among sensor cleaning technologies, and describes the optimization process of technology development and the acquisition of know-how through actual vehicle evaluation.

3^rd Generation Power Trunk Lid System

YongHyuck Im･KeunSoo Kim･KyeongJun Lim･SuJin Jung･MinHyung Byun･JaeHoon Chung (Hyundai Motor)･SungTae Hong･MoonBae Tak･DooJung Kim (PHA Automotive)

The power trunk lid system is a technology that can increase customer convenience by automatically opening and closing the trunk. Due to the trend toward electrification of vehicles and high customer needs, both Hyundai and other competitors are currently expanding it. In large and semi-large sized cars with existing power trunks, a coil spring is used as a mechanism to open and close the trunk. So existing power trunks were developed based on this coil spring.
But when applied to mid-sized and semi-mid-sized cars that use torsion bars, they must be changed to springs, which increases the cost and weight, reduces the trunk space. Therefore, in order to overcome the limitations of the existing system, the first goal of the 3rd generation power trunk lid system was to simplify the structure and develop a new mechanism that can be applied to the torsion bar

アルミリサイクル材を適用した自動車部品に関するLCA分析

加嶋　寛子・大久保　安剛・江崎　澄代・内藤　純也（神戸製鋼所）・吉野　初美（コベルコビジネスパートナーズ）

従来，自動車部品の素材や構造は，性能向上やコスト削減を目的に選択されてきたが，今後はリサイクル材を活用するなど環境負荷低減に向けた選択も必要と想定される．そこで，自動車パネル部品を対象に，アルミのリサイクル材を適用した際のライフサイクル全体を考慮した環境負荷の評価手法を検討し，素材間の比較を行った．